| create social network diagram: The Social Machine Judith Donath, 2014-05-23 New ways to design spaces for online interaction—and how they will change society. Computers were first conceived as “thinking machines,” but in the twenty-first century they have become social machines, online places where people meet friends, play games, and collaborate on projects. In this book, Judith Donath argues persuasively that for social media to become truly sociable media, we must design interfaces that reflect how we understand and respond to the social world. People and their actions are still harder to perceive online than face to face: interfaces are clunky, and we have less sense of other people's character and intentions, where they congregate, and what they do. Donath presents new approaches to creating interfaces for social interaction. She addresses such topics as visualizing social landscapes, conversations, and networks; depicting identity with knowledge markers and interaction history; delineating public and private space; and bringing the online world's open sociability into the physical world. Donath asks fundamental questions about how we want to live online and offers thought-provoking designs that explore radically new ways of interacting and communicating. |
| create social network diagram: Social Network Analysis for Startups Maksim Tsvetovat, Alexander Kouznetsov, 2011-10-06 Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas. Discover how internal social networks affect a company’s ability to perform Follow terrorists and revolutionaries through the 1998 Khobar Towers bombing, the 9/11 attacks, and the Egyptian uprising Learn how a single special-interest group can control the outcome of a national election Examine relationships between companies through investment networks and shared boards of directors Delve into the anatomy of cultural fads and trends—offline phenomena often mediated by Twitter and Facebook |
| create social network diagram: Social Network Analysis Song Yang, Franziska B. Keller, Lu Zheng, 2016-12-02 Social Network Analysis: Methods and Examples by Song Yang, Franziska B. Keller, and Lu Zheng prepares social science students to conduct their own social network analysis (SNA) by covering basic methodological tools along with illustrative examples from various fields. This innovative book takes a conceptual rather than a mathematical approach as it discusses the connection between what SNA methods have to offer and how those methods are used in research design, data collection, and analysis. Four substantive applications chapters provide examples from politics, work and organizations, mental and physical health, and crime and terrorism studies. |
| create social network diagram: The SAGE Handbook of Social Network Analysis John Scott, Peter J. Carrington, 2011-05-25 This sparkling Handbook offers an unrivalled resource for those engaged in the cutting edge field of social network analysis. Systematically, it introduces readers to the key concepts, substantive topics, central methods and prime debates. Among the specific areas covered are: Network theory Interdisciplinary applications Online networks Corporate networks Lobbying networks Deviant networks Measuring devices Key Methodologies Software applications. The result is a peerless resource for teachers and students which offers a critical survey of the origins, basic issues and major debates. The Handbook provides a one-stop guide that will be used by readers for decades to come. |
| create social network diagram: Network Analysis and Visualization in R Alboukadel Kassambara, 2017-11-26 Social network analysis is used to investigate the inter-relationship between entities. Examples of network structures, include: social media networks, friendship networks and collaboration networks. This book provides a quick start guide to network analysis and visualization in R. You'll learn, how to: - Create static and interactive network graphs using modern R packages. - Change the layout of network graphs. - Detect important or central entities in a network graph. - Detect community (or cluster) in a network. |
| create social network diagram: Animal Social Networks Dr. Jens Krause, Richard James, Daniel W. Franks, Darren P. Croft, 2015 This book demonstrates the application of network theory to the social organization of animals. |
| create social network diagram: Teach Social Media Matthew Kushin, 2019-08-12 When it comes to leaders in the social media pedagogy space, Matt Kushin is a pioneer. Not only is Matt an exceptional researcher, but a leading voice in the field with his through and innovative assignments. His new book Teach Social Media: A Plan for Creating a Course Your Students Will Love is a must have book for educators who want to create an amazing social media class for their students. Matt is not only able to discuss these ideas for these assignments, but has actually implemented them, allowing him to show he walks the walk as a social media professor. If you're looking to have a book that integrates various assignments from all aspects of social media, make sure to buy this book immediately! - Karen Freberg, Ph.D., Associate Professor in Strategic Communications at University of Louisville and author of Social Media for Strategic Communication: Creative Strategies and Research-Based Applications. This is a must-read book for any educators in social media! Dr. Kushin provides a clear and practical roadmap for professors to craft an exceptional social media class. A top concern among faculty who teach social media is the tension between staying relevant and applying the information, while creating a structured course that can run effectively semester to semester. This text is exactly what is needed. It helps faculty understand how to gain a rigorous learning environment that gives students the hands-on experience so necessary in social media education. - Carolyn Mae Kim, Ph.D., Associate Professor of Public Relations and Director of the Public Relations Program in the Department of Media, Journalism and Public Relations at Biola University and author of Social Media Campaigns: Strategies for Public Relations and Marketing. About Save time with this 15-week social media course plan. Engage your students with project-based learning. Prepare your students for an ever-changing social media environment with a course that focuses on adaptable knowledge, skills and abilities. Designed around a semester-long social media project, this book provides an end-to-end plan for building and executing a social media class from the ground up. It includes a 15-week syllabus with integrated assignments and activities. By providing lecture ideas and guidance in a how-to style, this book coaches you on how to build a class that is uniquely yours. Turn your class into a hands-on, engaged learning environment where your students will take on a client and build and execute a social media plan. This is not a 'it's on the test' type of class. Your students will learn by doing. The social media environment is transforming at lightning speed. Students must learn more than software skills. That's why this book follows the What, Why, How, Do, Reflect framework which aims to teach students adaptable knowledge and skills and ever-lasting abilities such as critical thinking, problem solving, creative thinking, and ethical decision-making. The economic realities of higher education present challenges to social media professors. Many departments lack access to software and resources. This book shows you how to deliver a high quality, experiential class on a shoe-string budget. Both new and experienced professors can use this book to #TeachConfident in the hyper-evolving social media space. This book is uniquely crafted for educators preparing students for careers as professional communicators in fields such as public relations, marketing, and related specialties. Includes Syllabus Sample Assignments Activities Information about software tools and resources |
| create social network diagram: Analyzing Social Media Networks with NodeXL Derek Hansen, Ben Shneiderman, Marc A. Smith, 2010-09-14 Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies. Part I provides background in the history and concepts of social media and social networks. Also included here is social network analysis, which flows from measuring, to mapping, and modeling collections of connections. The next part focuses on the detailed operation of the free and open-source NodeXL extension of Microsoft Excel, which is used in all exercises throughout this book. In the final part, each chapter presents one form of social media, such as e-mail, Twitter, Facebook, Flickr, and Youtube. In addition, there are descriptions of each system, the nature of networks when people interact, and types of analysis for identifying people, documents, groups, and events. - Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA - Demonstrates how visual analytics research can be applied to SNA tools for the mass market - Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis - Download companion materials and resources at https://nodexl.codeplex.com/documentation |
| create social network diagram: The Surprising Power of Liberating Structures Henri Lipmanowicz, Keith McCandless, 2014-10-28 Smart leaders know that they would greatly increase productivity and innovation if only they could get everyone fully engaged. So do professors, facilitators and all changemakers. The challenge is how. Liberating Structures are novel, practical and no-nonsense methods to help you accomplish this goal with groups of any size. Prepare to be surprised by how simple and easy they are for anyone to use. This book shows you how with detailed descriptions for putting them into practice plus tips on how to get started and traps to avoid. It takes the design and facilitation methods experts use and puts them within reach of anyone in any organization or initiative, from the frontline to the C-suite. Part One: The Hidden Structure of Engagement will ground you with the conceptual framework and vocabulary of Liberating Structures. It contrasts Liberating Structures with conventional methods and shows the benefits of using them to transform the way people collaborate, learn, and discover solutions together. Part Two: Getting Started and Beyond offers guidelines for experimenting in a wide range of applications from small group interactions to system-wide initiatives: meetings, projects, problem solving, change initiatives, product launches, strategy development, etc. Part Three: Stories from the Field illustrates the endless possibilities Liberating Structures offer with stories from users around the world, in all types of organizations -- from healthcare to academic to military to global business enterprises, from judicial and legislative environments to R&D. Part Four: The Field Guide for Including, Engaging, and Unleashing Everyone describes how to use each of the 33 Liberating Structures with step-by-step explanations of what to do and what to expect. Discover today what Liberating Structures can do for you, without expensive investments, complicated training, or difficult restructuring. Liberate everyone's contributions -- all it takes is the determination to experiment. |
| create social network diagram: Models for Social Networks With Statistical Applications Suraj Bandyopadhyay, A R. Rao, Bikas K. Sinha, 2010-06-02 Written by a sociologist, a graph theorist, and a statistician, this title provides social network analysts and students with a solid statistical foundation from which to analyze network data. Clearly demonstrates how graph-theoretic and statistical techniques can be employed to study some important parameters of global social networks. The authors uses real life village-level social networks to illustrate the practicalities, potentials, and constraints of social network analysis (SNA). They also offer relevant sampling and inferential aspects of the techniques while dealing with potentially large networks. Intended Audience This supplemental text is ideal for a variety of graduate and doctoral level courses in social network analysis in the social, behavioral, and health sciences |
| create social network diagram: The Networked Nonprofit Beth Kanter, Allison Fine, 2010-07-01 The Networked Nonprofit Connecting with Social Media to Drive Change This groundbreaking book shows nonprofits a new way of operating in our increasingly connected world: a networked approach enabled by social technologies, where connections are leveraged to increase impact in effective ways that drive change for the betterment of our society and planet. The Networked Nonprofit is a must-read for any nonprofit organization seeking innovative, creative techniques to improve their mission and better serve their communities. —Diana Aviv, president and CEO, Independent Sector The Internet means never having to ask permission before trying something new. In The Networked Nonprofit, Kanter and Fine show nonprofits how to harness this flexibility to pursue their missions in partnership with two billion connected citizens. —Clay Shirky, author, Here Comes Everybody: The Power of Organizing Without Organizations The Networked Nonprofit uniquely describes the historical context and the current challenges that compel nonprofit leaders to work in networked ways and offers easy steps to help users exploit the potential of social media and 'working wikily.' —Stephanie McAuliffe, director, organizational effectiveness, The David and Lucile Packard Foundation A must-read for nonprofit leaders who want to change their organizations from the inside out by embracing the power of social networks. —Charlene Li, founding partner, Altimeter Group; author, Open Leadership; and coauthor, Groundswell This is a perfect handbook for anyone who wants to leapfrog their current limitations of understanding and find real-world applications of technology to extend their mission. —Michele Nunn, CEO, Points of Light Institute, and cofounder, HandsOn Network Kanter and Fine provide the 'Google Maps' for nonprofits to harness social media to kick butt and change the world. —Guy Kawasaki, cofounder, Alltop.com, and former chief evangelist, Apple Inc. URGENT! Read this book. Take notes. Take action. If you work for a nonprofit, you don't have to do every single thing these seasoned authors have to share, but you certainly have to know what you're missing. —Seth Godin Register at www.josseybass.com/emailfor more information on our publications, authors, and to receive special offers. |
| create social network diagram: The Development of Social Network Analysis Linton C. Freeman, 2004 Ideas about social structure and social networks are very old. People have always believed that biological and social links among individuals are important. But it wasn't until the early 1930s that systematic research that explored the patterning of social ties linking individuals emerged. And it emerged, not once, but several times in several different social science fields and in several places. This book reviews these developments and explores the social processes that wove all these schools of network analysis together into a single coherent approach. |
| create social network diagram: Games User Research Anders Drachen, Pejman Mirza-Babaei, Lennart E. Nacke, 2018 Games live and die commercially on the player experience. Games User Research is collectively the way we optimise the quality of the user experience (UX) in games, working with all aspects of a game from the mechanics and interface, visuals and art, interaction and progression, making sure every element works in concert and supports the game UX. This means that Games User Research is essential and integral to the production of games and to shape the experience of players. Today, Games User Research stands as the primary pathway to understanding players and how to design, build, and launch games that provide the right game UX. Until now, the knowledge in Games User Research and Game UX has been fragmented and there were no comprehensive, authoritative resources available. This book bridges the current gap of knowledge in Games User Research, building the go-to resource for everyone working with players and games or other interactive entertainment products. It is accessible to those new to Games User Research, while being deeply comprehensive and insightful for even hardened veterans of the game industry. In this book, dozens of veterans share their wisdom and best practices on how to plan user research, obtain the actionable insights from users, conduct user-centred testing, which methods to use when, how platforms influence user research practices, and much, much more. |
| create social network diagram: Reinventing Capitalism in the Age of Big Data Viktor Mayer-Schönberger, Thomas Ramge, 2018-02-27 From the New York Times bestselling author of Big Data, a prediction for how data will revolutionize the market economy and make cash, banks, and big companies obsolete In modern history, the story of capitalism has been a story of firms and financiers. That's all going to change thanks to the Big Data revolution. As Viktor Mayer-Schörger, bestselling author of Big Data, and Thomas Ramge, who writes for The Economist, show, data is replacing money as the driver of market behavior. Big finance and big companies will be replaced by small groups and individual actors who make markets instead of making things: think Uber instead of Ford, or Airbnb instead of Hyatt. This is the dawn of the era of data capitalism. Will it be an age of prosperity or of calamity? This book provides the indispensable roadmap for securing a better future. |
| create social network diagram: Social Network Analysis in Sport Research Marion E. Hambrick, 2019-03-27 Social network analysis is a methodological tool used to investigate social networks, or collections of individuals, groups, or organizations and their shared relationships. Sport researchers increasingly have applied social network analysis to a variety of sport contexts, from team interactions among players and coaches to tailgating among fans to mega sporting events and their organizers and other stakeholders. An opportunity now exists to expand this research and generate new insights regarding myriad sport contexts and applications. This book provides an overview of the growing body of social network analysis research in sport. Additionally, it offers practical guidance for applying social network analysis within different sport settings and for using this methodology with new research applications. |
| create social network diagram: Social Network Analysis in Telecommunications Carlos Andre Reis Pinheiro, 2011-05-09 A timely look at effective use of social network analysis within the telecommunications industry to boost customer relationships The key to any successful company is the relationship that it builds with its customers. This book shows how social network analysis, analytics, and marketing knowledge can be combined to create a positive customer experience within the telecommunications industry. Reveals how telecommunications companies can effectively enhance their relationships with customers Provides the groundwork for defining social network analysis Defines the tools that can be used to address social network problems A must-read for any professionals eager to distinguish their products in the marketplace, this book shows you how to get it done right, with social network analysis. |
| create social network diagram: Complex Network Analysis in Python Dmitry Zinoviev, 2018-01-19 Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network--such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships. Analyze and visualize the network, and make business decisions based on your analysis. If you're a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you'll increase your productivity exponentially. Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. By exploring their structure and individual elements, we can learn about their meaning, evolution, and resilience. Starting with simple networks, convert real-life and synthetic network graphs into networkx data structures. Look at more sophisticated networks and learn more powerful machinery to handle centrality calculation, blockmodeling, and clique and community detection. Get familiar with presentation-quality network visualization tools, both programmable and interactive--such as Gephi, a CNA explorer. Adapt the patterns from the case studies to your problems. Explore big networks with NetworKit, a high-performance networkx substitute. Each part in the book gives you an overview of a class of networks, includes a practical study of networkx functions and techniques, and concludes with case studies from various fields, including social networking, anthropology, marketing, and sports analytics. Combine your CNA and Python programming skills to become a better network analyst, a more accomplished data scientist, and a more versatile programmer. What You Need: You will need a Python 3.x installation with the following additional modules: Pandas (>=0.18), NumPy (>=1.10), matplotlib (>=1.5), networkx (>=1.11), python-louvain (>=0.5), NetworKit (>=3.6), and generalizesimilarity. We recommend using the Anaconda distribution that comes with all these modules, except for python-louvain, NetworKit, and generalizedsimilarity, and works on all major modern operating systems. |
| create social network diagram: Developing a Social Network Analysis and Visualization Module for Repast Models Sascha Holzhauer, 2010 |
| create social network diagram: Social Network Analysis with Applications Ian McCulloh, Helen Armstrong, Anthony Johnson, 2013-07-01 A comprehensive introduction to social network analysis that hones in on basic centrality measures, social links, subgroup analysis, data sources, and more Written by military, industry, and business professionals, this book introduces readers to social network analysis, the new and emerging topic that has recently become of significant use for industry, management, law enforcement, and military practitioners for identifying both vulnerabilities and opportunities in collaborative networked organizations. Focusing on models and methods for the analysis of organizational risk, Social Network Analysis with Applications provides easily accessible, yet comprehensive coverage of network basics, centrality measures, social link theory, subgroup analysis, relational algebra, data sources, and more. Examples of mathematical calculations and formulas for social network measures are also included. Along with practice problems and exercises, this easily accessible book covers: The basic concepts of networks, nodes, links, adjacency matrices, and graphs Mathematical calculations and exercises for centrality, the basic measures of degree, betweenness, closeness, and eigenvector centralities Graph-level measures, with a special focus on both the visual and numerical analysis of networks Matrix algebra, outlining basic concepts such as matrix addition, subtraction, multiplication, and transpose and inverse calculations in linear algebra that are useful for developing networks from relational data Meta-networks and relational algebra, social links, diffusion through networks, subgroup analysis, and more An excellent resource for practitioners in industry, management, law enforcement, and military intelligence who wish to learn and apply social network analysis to their respective fields, Social Network Analysis with Applications is also an ideal text for upper-level undergraduate and graduate level courses and workshops on the subject. |
| create social network diagram: Social Network Analysis and Education Brian V. Carolan, 2013-03-14 Social Network Analysis and Education: Theory, Methods & Applications provides an introduction to the theories, methods, and applications that constitute the social network perspective. Unlike more general texts, this applied title is designed for those current and aspiring educational researchers learning how to study, conceptualize, and analyze social networks. Brian V. Carolan's main intent is to encourage you to consider the social network perspective in light of your emerging research interests and evaluate how well this perspective illuminates the social complexities surrounding educational phenomena. Relying on diverse examples drawn from the educational research literature, this book makes explicit how the theories and methods associated with social network analysis can be used to better describe and explain the social complexities surrounding varied educational phenomena. |
| create social network diagram: Introducing Social Networks Alain Degenne, Michel Forsé, 1999-06-09 This first-rate introduction to the study of social networks combines a hands-on manual with an up-to-date review of the latest research and techniques. The authors provide a thorough grounding in the application of the methods of social network analysis. They offer an understanding of the theory of social structures in which social network analysis is grounded, a summary of the concepts needed for dealing with more advanced techniques, and guides for using the primary computer software packages for social network analysis. |
| create social network diagram: Leveraging Technology in Leadership Communication Carolyn Mae Kim, 2021-11 Taking a close look at how digital media can elevate or diminish a leader's influence, this book provides a framework to guide organizational leaders' selection and application of digital tools in communication with stakeholders. Through a media ecology approach, the book begins by exploring the transitions in technology over the course of human history that resulted in today's digital communication environment. It builds on this understanding to examine the value leadership communication provides to engage employees and drive organizational objectives internally, while also highlighting the value of leaders' external stakeholder communication using tools such as social media or websites to elevate credibility. It examines various challenges to give a realistic assessment of how leaders can navigate digital communication successfully to thrive personally and professionally. Finally, the book explores an often-missed dimension of leadership communication: followers. Using the ethicality of leadership and the role of followers, it concludes by examining guiding values for leadership communication in the digital age as well as forecasting future trends that will shape leaders' communication. The book is intended as supplementary reading in organizational, leadership, corporate, and internal communication courses at both the undergraduate and graduate levels. Online instructor resources for this book include a one-sheet overview of how to use the text in a course as well as sample assignments and discussion questions. Please visit www.routledge.com/ 9780367414993 to access these support materials. |
| create social network diagram: Social Network Analysis Mohammad Gouse Galety, Chiai Al Atroshi, Buni Balabantaray, Sachi Nandan Mohanty, 2022-04-28 SOCIAL NETWORK ANALYSIS As social media dominates our lives in increasing intensity, the need for developers to understand the theory and applications is ongoing as well. This book serves that purpose. Social network analysis is the solicitation of network science on social networks, and social occurrences are denoted and premeditated by data on coinciding pairs as the entities of opinion. The book features: Social network analysis from a computational perspective using python to show the significance of fundamental facets of network theory and the various metrics used to measure the social network. An understanding of network analysis and motivations to model phenomena as networks. Real-world networks established with human-related data frequently display social properties, i.e., patterns in the graph from which human behavioral patterns can be analyzed and extracted. Exemplifies information cascades that spread through an underlying social network to achieve widespread adoption. Network analysis that offers an appreciation method to health systems and services to illustrate, diagnose, and analyze networks in health systems. The social web has developed a significant social and interactive data source that pays exceptional attention to social science and humanities research. The benefits of artificial intelligence enable social media platforms to meet an increasing number of users and yield the biggest marketplace, thus helping social networking analysis distribute better customer understanding and aiding marketers to target the right customers. Audience The book will interest computer scientists, AI researchers, IT and software engineers, mathematicians. |
| create social network diagram: Networks, Crowds, and Markets David Easley, Jon Kleinberg, 2010-07-19 Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others. |
| create social network diagram: Social Network Analysis John Scott, 2000-01-28 The revised and updated edition of this bestselling text provides an accessible introduction to the theory and practice of network analysis in the social sciences. It gives a clear and authoritative guide to the general framework of network analysis, explaining the basic concepts, technical measures and reviewing the available computer programs. The book outlines both the theoretical basis of network analysis and the key techniques for using it as a research tool. Building upon definitions of points, lines and paths, John Scott demonstrates their use in clarifying such measures as density, fragmentation and centralization. He identifies the various cliques, components and circles into which networks are formed, and outlines |
| create social network diagram: Someone to Talk to Mario Luis Small, 2017 In Someone To Talk To, Mario L. Small follows a group of graduate students as they cope with stress, overwork, self-doubt, failure, relationships, children, health care, and poverty. He unravels how they decide whom to turn to for support. and he then confirms his findings based on representative national data on adult Americans.--Jacket. |
| create social network diagram: Social Network Data Analytics Charu C. Aggarwal, 2011-03-18 Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science. |
| create social network diagram: Wikis, Webs, and Networks Frederick D. Barton, Rebecca Linder, 2006 |
| create social network diagram: Social Network Analysis Xiaoming Fu, Jar-Der Luo, Margarete Boos, 2017-03-31 The book addresses the issue of interdisciplinary understanding of collaboration on the topic of social network studies. Researchers and practitioners from various disciplines including sociology, computer science, socio-psychology, public health, complex systems, and management science have worked largely independently, each with quite different principles, terminologies, theories. and methodologies. The book aims to fill the gap among these disciplines with a number of the latest interdisciplinary collaboration studies. |
| create social network diagram: Social Network Analysis David Knoke, Song Yang, 2019-12-02 David Knoke and Song Yang′s Social Network Analysis, Third Edition provides a concise introduction to the concepts and tools of social network analysis. The authors convey key material while at the same time minimizing technical complexities. The examples are simple: sets of 5 or 6 entities such as individuals, positions in a hierarchy, political offices, and nation-states, and the relations between them include friendship, communication, supervision, donations, and trade. The new edition reflects developments and changes in practice over the past decade. The authors also describe important recent developments in network analysis, especially in the fifth chapter. Exponential random graph models (ERGMs) are a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs. Finally, throughout the volume, the authors comment on the challenges and opportunities offered by internet and social media data. |
| create social network diagram: The Hidden Power of Social Networks Robert L. Cross, Andrew Parker, 2004-06-02 A powerful, visual framework helps managers discover how employees really communicate and collaborate to get work done - and helps them identify ways they can influence these social networks to improve performance and innovation. In The Hidden Power of Social Networks, Cross and Parker, experts in social network analysis—a technique that visually maps relationships between people in large, distributed groups - apply this powerful tool to management for the first time. Based on their in-depth study of sixty informal employee networks in well-known companies around the world, Cross and Parker show managers how to conduct a social network analysis of their organization. |
| create social network diagram: Creating Value with Knowledge Eric L. Lesser, Laurence Prusak, 2004 This text examines a variety of important knowledge-related topics, such as the use of informal networks, communities of practice, the impact of knowledge on successful alliances, and social capital and trust. |
| create social network diagram: The Palgrave Handbook of Social Creativity Research Izabela Lebuda, Vlad Petre Glăveanu, 2018-10-30 This Handbook brings together an international cast of experts to explore the social nature and context of creativity studies, focusing on methodology as a key component in advancing the social study of creativity. Two decades on from the pioneering work of Alfonso Montuori and Ronald E. Purser, the authors present a timely appraisal of past and present work in social creativity studies, and look ahead to future developments within this field. The authors collectively offer a rigorous examination of the methodological and empirical issues and techniques involved in studying social creativity. They examine the phenomenon as a form of communication and interaction within collaborative relationships; contending that creativity happens not within a vacuum but instead from a nexus of personal, social and contextual influences. This comprehensive work is organized in three parts, focusing first on the various methodological approaches applicable to the social in creativity studies. It secondly turns to empirical findings and approaches relating to the social nature of creativity. In the book’s final part, the authors offer reflections on the state of social research into creativity, pinpointing areas requiring further methodological scrutiny and empirical verification, and areas that may inspire further theoretical or applied work. Combining classic ideas with cutting-edge, emerging methods, this work provides a vital methodological ‘toolbox’ for investigators within social creativity. |
| create social network diagram: Applications of Social Network Analysis for Building Community Disaster Resilience National Research Council, Division on Earth and Life Studies, Board on Earth Sciences and Resources, 2009-07-23 Social Network Analysis (SNA) is the identification of the relationships and attributes of members, key actors, and groups that social networks comprise. The National Research Council, at the request of the Department of Homeland Security, held a two-day workshop on the use of SNA for the purpose of building community disaster resilience. The workshop, summarized in this volume, was designed to provide guidance to the DHS on a potential research agenda that would increase the effectiveness of SNA for improving community disaster resilience. The workshop explored the state of the art in SNA and its applications in the identification, construction, and strengthening of networks within U.S. communities. Workshop participants discussed current work in SNA focused on characterizing networks; the theories, principles and research applicable to the design or strengthening of networks; the gaps in knowledge that prevent the application of SNA to the construction of networks; and research areas that could fill those gaps. Elements of a research agenda to support the design, development, and implementation of social networks for the specific purpose of strengthening community resilience against natural and human-made disasters were discussed. |
| create social network diagram: Social Network Analysis in Second Language Research Kristen Kennedy Terry, Robert Bayley, 2024-03-12 This text is the first holistic research overview and practical methodological guide for social network analysis in second language acquisition, examining how to study learner social networks and how to use network data to predict language learner behavior and identity. Authors Kristen Kennedy Terry and Robert Bayley lay out the history of social network analysis in sociolinguistics, discuss the state of the art in empirical findings in applications to language acquisition, offer how-to guidance and best practices for planning, conducting, and understanding this research, and authoritatively set the agenda for future work. With a variety of helpful features like case studies, suggested research projects, discussion questions, and recommended further reading, this book will be an invaluable resource to students and researchers of second language acquisition, sociolinguistics, education, and beyond. |
| create social network diagram: Understanding Social Networks Charles Kadushin, 2012-01-19 Understanding Social Networks explains the big ideas that underlie social networks, covering fundamental concepts then discussing networks and their core themes in increasing order of complexity. |
| create social network diagram: Handbook of Social Network Technologies and Applications Borko Furht, 2010-11-04 Social networking is a concept that has existed for a long time; however, with the explosion of the Internet, social networking has become a tool for people to connect and communicate in ways that were impossible in the past. The recent development of Web 2.0 has provided many new applications, such as Myspace, Facebook, and LinkedIn. The purpose of Handbook of Social Network Technologies and Applications is to provide comprehensive guidelines on the current and future trends in social network technologies and applications in the field of Web-based Social Networks. This handbook includes contributions from world experts in the field of social networks from both academia and private industry. A number of crucial topics are covered including Web and software technologies and communication technologies for social networks. Web-mining techniques, visualization techniques, intelligent social networks, Semantic Web, and many other topics are covered. Standards for social networks, case studies, and a variety of applications are covered as well. |
| create social network diagram: Encyclopedia of Social Network Analysis and Mining Reda Alhajj, Jon Rokne, 2018-05-02 The Encyclopedia of Social Network Analysis and Mining (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and applications to data mining. The second edition of ESNAM is a truly outstanding reference appealing to researchers, practitioners, instructors and students (both undergraduate and graduate), as well as the general public. This updated reference integrates all basics concepts and research efforts under one umbrella. Coverage has been expanded to include new emerging topics such as crowdsourcing, opinion mining, and sentiment analysis. Revised content of existing material keeps the encyclopedia current. The second edition is intended for college students as well as public and academic libraries. It is anticipated to continue to stimulate more awareness of social network applications and research efforts. The advent of electronic communication, and in particular on-line communities, have created social networks of hitherto unimaginable sizes. Reflecting the interdisciplinary nature of this unique field, the essential contributions of diverse disciplines, from computer science, mathematics, and statistics to sociology and behavioral science, are described among the 300 authoritative yet highly readable entries. Students will find a world of information and insight behind the familiar façade of the social networks in which they participate. Researchers and practitioners will benefit from a comprehensive perspective on the methodologies for analysis of constructed networks, and the data mining and machine learning techniques that have proved attractive for sophisticated knowledge discovery in complex applications. Also addressed is the application of social network methodologies to other domains, such as web networks and biological networks. |
| create social network diagram: Spin Sucks Gini Dietrich, 2014 Go beyond PR spin! Master better ways to communicate honestly and regain the trust of your customers and stakeholders with this book. |
| create social network diagram: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
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Welcome to Create, a mod offering a variety of tools and blocks for Building, Decoration and Aesthetic Automation. The added elements of tech are designed to leave as many design …
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The meaning of CREATE is to bring into existence. How to use create in a sentence.
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CREATE Definition & Meaning | Dictionary.com
Create definition: to cause to come into being, as something unique that would not naturally evolve or that is not made by ordinary processes.. See examples of CREATE used in a sentence.
CREATE | English meaning - Cambridge Dictionary
CREATE definition: 1. to make something new, or invent something: 2. to show that you are angry: 3. to make…. Learn more.
CREATE definition and meaning | Collins English Dictionary
The lights create such a glare it's next to impossible to see anything behind them. [ VERB noun ] Criticizing will only destroy a relationship and create feelings of failure.
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Scratch is a free programming language and online community where you can create your own interactive stories, games, and animations.
Create - Definition, Meaning & Synonyms - Vocabulary.com
Jun 9, 2025 · To create simply means to make or bring into existence. Bakers create cakes, ants create problems at picnics, and you probably created a few imaginary friends when you were …
create verb - Definition, pictures, pronunciation and usage notes ...
create to make something exist or happen, especially something new that did not exist before: Scientists disagree about how the universe was created. make or create? Make is a more …
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Follow these steps to create a high-quality prompt: Be Specific: Include as many relevant details as possible. For example, instead of just "astronaut," provide context and visual cues.
Create - Minecraft Mods - CurseForge
Welcome to Create, a mod offering a variety of tools and blocks for Building, Decoration and Aesthetic Automation. The added elements of tech are designed to leave as many design …
CREATE Definition & Meaning - Merriam-Webster
The meaning of CREATE is to bring into existence. How to use create in a sentence.
Your Home for How-To - CreateTV
Create TV brings together the best is public television how-to and lifestyle programs for around-the-clock broadcast.
CREATE Definition & Meaning | Dictionary.com
Create definition: to cause to come into being, as something unique that would not naturally evolve or that is not made by ordinary processes.. See examples of CREATE used in a sentence.
CREATE | English meaning - Cambridge Dictionary
CREATE definition: 1. to make something new, or invent something: 2. to show that you are angry: 3. to make…. Learn more.
CREATE definition and meaning | Collins English Dictionary
The lights create such a glare it's next to impossible to see anything behind them. [ VERB noun ] Criticizing will only destroy a relationship and create feelings of failure.
Scratch - Imagine, Program, Share
Scratch is a free programming language and online community where you can create your own interactive stories, games, and animations.
Create - Definition, Meaning & Synonyms - Vocabulary.com
Jun 9, 2025 · To create simply means to make or bring into existence. Bakers create cakes, ants create problems at picnics, and you probably created a few imaginary friends when you were …
create verb - Definition, pictures, pronunciation and usage notes ...
create to make something exist or happen, especially something new that did not exist before: Scientists disagree about how the universe was created. make or create? Make is a more …
