Computational Social Networks

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Computational Social Networks

Author : Ajith Abraham
Publisher : Springer Science & Business Media
ISBN 13 : 1447140486
Total Pages : 474 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Computational Social Networks by : Ajith Abraham

Download or read book Computational Social Networks written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2012-06-28 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on practical tools, applications, and open avenues for further research (the other two volumes review issues of Security and Privacy, and Mining and Visualization in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage by applying these ideas in real-world scenarios; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, the representation and analysis of social networks, and the use of semantic networks in knowledge discovery and visualization; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.

Computational Social Network Analysis

Author : Ajith Abraham
Publisher : Springer
ISBN 13 : 9781447125327
Total Pages : 0 pages
Book Rating : 4.1/5 (253 download)

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Book Synopsis Computational Social Network Analysis by : Ajith Abraham

Download or read book Computational Social Network Analysis written by Ajith Abraham and published by Springer. This book was released on 2012-03-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites, surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information, reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities, examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation, discusses team selection based on members’ social context, presents social network applications, including music recommendation and face recognition in photographs, explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services. This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas.

Social Network Analytics

Author : Nilanjan Dey
Publisher : Academic Press
ISBN 13 : 0128156414
Total Pages : 267 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Social Network Analytics by : Nilanjan Dey

Download or read book Social Network Analytics written by Nilanjan Dey and published by Academic Press. This book was released on 2018-11-16 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more. Examines a variety of data analytic techniques that can be applied to social networks Discusses various methods of visualizing, modeling and tracking network patterns, organization, growth and change Covers the most recent research on social network analysis and includes applications to a number of domains

Introduction to Computational Social Science

Author : Claudio Cioffi-Revilla
Publisher : Springer
ISBN 13 : 3319501313
Total Pages : 636 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Introduction to Computational Social Science by : Claudio Cioffi-Revilla

Download or read book Introduction to Computational Social Science written by Claudio Cioffi-Revilla and published by Springer. This book was released on 2017-06-29 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas. Topics and features: contains more than a thousand questions and exercises, together with a list of acronyms and a glossary; examines the similarities and differences between computers and social systems; presents a focus on automated information extraction; discusses the measurement, scientific laws, and generative theories of social complexity in CSS; reviews the methodology of social simulations, covering both variable- and object-oriented models.

Computational Data and Social Networks

Author : Sriram Chellappan
Publisher : Springer Nature
ISBN 13 : 303066046X
Total Pages : 551 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Computational Data and Social Networks by : Sriram Chellappan

Download or read book Computational Data and Social Networks written by Sriram Chellappan and published by Springer Nature. This book was released on 2021-01-03 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Computational Data and Social Networks, CSoNet 2020, held in Dallas, TX, USA, in December 2020. The 20 full papers were carefully reviewed and selected from 83 submissions. Additionally the book includes 22 special track papers and 3 extended abstracts. The selected papers are devoted to topics such as Combinatorial Optimization and Learning; Computational Methods for Social Good Applications; NLP and Affective Computing; Privacy and Security; Blockchain; Fact-Checking, Fake News and Malware Detection in Online Social Networks; and Information Spread in Social and Data Networks.

Handbook of Computational Social Science, Volume 1

Author : Uwe Engel
Publisher : Taylor & Francis
ISBN 13 : 1000448584
Total Pages : 417 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Handbook of Computational Social Science, Volume 1 by : Uwe Engel

Download or read book Handbook of Computational Social Science, Volume 1 written by Uwe Engel and published by Taylor & Francis. This book was released on 2021-11-10 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientifi c and engineering sectors.

Social Networks: Analysis and Case Studies

Author : Şule Gündüz-Öğüdücü
Publisher : Springer
ISBN 13 : 3709117976
Total Pages : 249 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Social Networks: Analysis and Case Studies by : Şule Gündüz-Öğüdücü

Download or read book Social Networks: Analysis and Case Studies written by Şule Gündüz-Öğüdücü and published by Springer. This book was released on 2014-07-11 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present volume provides a comprehensive resource for practitioners and researchers alike-both those new to the field as well as those who already have some experience. The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health. With the increasing popularity of Web 2.0, social media has become a widely used communication platform. Parallel to this development, Social Network Analysis gained in importance as a research field, while opening up many opportunities in different application domains. Forming a bridge between theory and applications makes this work appealing to both academics and practitioners as well as graduate students.

Computational Data and Social Networks

Author : David Mohaisen
Publisher : Springer Nature
ISBN 13 : 3030914348
Total Pages : 392 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Computational Data and Social Networks by : David Mohaisen

Download or read book Computational Data and Social Networks written by David Mohaisen and published by Springer Nature. This book was released on 2021-12-03 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks.

Learning Automata Approach for Social Networks

Author : Alireza Rezvanian
Publisher : Springer
ISBN 13 : 3030107671
Total Pages : 329 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Learning Automata Approach for Social Networks by : Alireza Rezvanian

Download or read book Learning Automata Approach for Social Networks written by Alireza Rezvanian and published by Springer. This book was released on 2019-01-22 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book begins by briefly explaining learning automata (LA) models and a recently developed cellular learning automaton (CLA) named wavefront CLA. Analyzing social networks is increasingly important, so as to identify behavioral patterns in interactions among individuals and in the networks’ evolution, and to develop the algorithms required for meaningful analysis. As an emerging artificial intelligence research area, learning automata (LA) has already had a significant impact in many areas of social networks. Here, the research areas related to learning and social networks are addressed from bibliometric and network analysis perspectives. In turn, the second part of the book highlights a range of LA-based applications addressing social network problems, from network sampling, community detection, link prediction, and trust management, to recommender systems and finally influence maximization. Given its scope, the book offers a valuable guide for all researchers whose work involves reinforcement learning, social networks and/or artificial intelligence.

Computational Social Networks

Author : Ajith Abraham
Publisher : Springer
ISBN 13 : 9781447158158
Total Pages : 0 pages
Book Rating : 4.1/5 (581 download)

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Book Synopsis Computational Social Networks by : Ajith Abraham

Download or read book Computational Social Networks written by Ajith Abraham and published by Springer. This book was released on 2014-09-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the second of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, concentrating on topics relating to security and privacy (the other two volumes review Tools, Perspectives, and Applications, and Mining and Visualization in CSNs). Topics and features: presents the latest advances in security and privacy issues in CSNs, and illustrates how both organizations and individuals can be protected from real-world threats; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, and the representation and analysis of social networks, with a focus on issues of security, privacy, and anonymization; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.

Doing Computational Social Science

Author : John McLevey
Publisher : SAGE
ISBN 13 : 1529737591
Total Pages : 556 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Doing Computational Social Science by : John McLevey

Download or read book Doing Computational Social Science written by John McLevey and published by SAGE. This book was released on 2021-12-15 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Author : Nitin Agarwal
Publisher : Springer
ISBN 13 : 9783030067977
Total Pages : 0 pages
Book Rating : 4.0/5 (679 download)

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Book Synopsis Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining by : Nitin Agarwal

Download or read book Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining written by Nitin Agarwal and published by Springer. This book was released on 2018-12-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.

The Oxford Handbook of Social Networks

Author : Ryan Light
Publisher : Oxford University Press, USA
ISBN 13 : 019025176X
Total Pages : 697 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis The Oxford Handbook of Social Networks by : Ryan Light

Download or read book The Oxford Handbook of Social Networks written by Ryan Light and published by Oxford University Press, USA. This book was released on 2020-12-04 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others"--

Understanding Social Networks

Author : Charles Kadushin
Publisher : Oxford University Press
ISBN 13 : 0195379462
Total Pages : 265 pages
Book Rating : 4.1/5 (953 download)

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Book Synopsis Understanding Social Networks by : Charles Kadushin

Download or read book Understanding Social Networks written by Charles Kadushin and published by Oxford University Press. This book was released on 2012-01-19 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Pathways Between Social Science and Computational Social Science

Author : Tamás Rudas
Publisher : Springer Nature
ISBN 13 : 3030549364
Total Pages : 284 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Pathways Between Social Science and Computational Social Science by : Tamás Rudas

Download or read book Pathways Between Social Science and Computational Social Science written by Tamás Rudas and published by Springer Nature. This book was released on 2021-01-22 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume shows that the emergence of computational social science (CSS) is an endogenous response to problems from within the social sciences and not exogeneous. The three parts of the volume address various pathways along which CSS has been developing from and interacting with existing research frameworks. The first part exemplifies how new theoretical models and approaches on which CSS research is based arise from theories of social science. The second part is about methodological advances facilitated by CSS-related techniques. The third part illustrates the contribution of CSS to traditional social science topics, further attesting to the embedded nature of CSS. The expected readership of the volume includes researchers with a traditional social science background who wish to approach CSS, experts in CSS looking for substantive links to more traditional social science theories, methods and topics, and finally, students working in both fields.

Computational Social Science

Author : R. Michael Alvarez
Publisher : Cambridge University Press
ISBN 13 : 1316531287
Total Pages : pages
Book Rating : 4.3/5 (165 download)

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Book Synopsis Computational Social Science by : R. Michael Alvarez

Download or read book Computational Social Science written by R. Michael Alvarez and published by Cambridge University Press. This book was released on 2016-03-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.

Computational Social Network Analysis

Author : Ajith Abraham
Publisher : Springer Science & Business Media
ISBN 13 : 1848822294
Total Pages : 487 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Computational Social Network Analysis by : Ajith Abraham

Download or read book Computational Social Network Analysis written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2009-12-10 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites, surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information, reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities, examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation, discusses team selection based on members’ social context, presents social network applications, including music recommendation and face recognition in photographs, explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services. This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas.