Dynamic Social Network Modeling And Analysis

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Dynamic Social Network Modeling and Analysis

National Research Council,Division of Behavioral and Social Sciences and Education,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Human Factors
Dynamic Social Network Modeling and Analysis Book PDF

Author : National Research Council,Division of Behavioral and Social Sciences and Education,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Human Factors
Publisher : National Academies Press
Page : 393 pages
File Size : 54,6 Mb
Release : 2003-08-01
Category : Computers
ISBN : 9780309089524

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Dynamic Social Network Modeling and Analysis by National Research Council,Division of Behavioral and Social Sciences and Education,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Human Factors Pdf

In the summer of 2002, the Office of Naval Research asked the Committee on Human Factors to hold a workshop on dynamic social network and analysis. The primary purpose of the workshop was to bring together scientists who represent a diversity of views and approaches to share their insights, commentary, and critiques on the developing body of social network analysis research and application. The secondary purpose was to provide sound models and applications for current problems of national importance, with a particular focus on national security. This workshop is one of several activities undertaken by the National Research Council that bears on the contributions of various scientific disciplines to understanding and defending against terrorism. The presentations were grouped in four sessions â€" Social Network Theory Perspectives, Dynamic Social Networks, Metrics and Models, and Networked Worlds â€" each of which concluded with a discussant-led roundtable discussion among the presenters and workshop attendees on the themes and issues raised in the session.

Dynamic Social Network Modeling and Analysis

National Research Council,Division of Behavioral and Social Sciences and Education,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Human Factors
Dynamic Social Network Modeling and Analysis Book PDF

Author : National Research Council,Division of Behavioral and Social Sciences and Education,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Human Factors
Publisher : National Academies Press
Page : 396 pages
File Size : 48,5 Mb
Release : 2003-08-01
Category : Computers
ISBN : 0309089522

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Dynamic Social Network Modeling and Analysis by National Research Council,Division of Behavioral and Social Sciences and Education,Board on Behavioral, Cognitive, and Sensory Sciences,Committee on Human Factors Pdf

In the summer of 2002, the Office of Naval Research asked the Committee on Human Factors to hold a workshop on dynamic social network and analysis. The primary purpose of the workshop was to bring together scientists who represent a diversity of views and approaches to share their insights, commentary, and critiques on the developing body of social network analysis research and application. The secondary purpose was to provide sound models and applications for current problems of national importance, with a particular focus on national security. This workshop is one of several activities undertaken by the National Research Council that bears on the contributions of various scientific disciplines to understanding and defending against terrorism. The presentations were grouped in four sessions â€" Social Network Theory Perspectives, Dynamic Social Networks, Metrics and Models, and Networked Worlds â€" each of which concluded with a discussant-led roundtable discussion among the presenters and workshop attendees on the themes and issues raised in the session.

Trends in Social Network Analysis

Rokia Missaoui,Talel Abdessalem,Matthieu Latapy
Trends in Social Network Analysis Book PDF

Author : Rokia Missaoui,Talel Abdessalem,Matthieu Latapy
Publisher : Springer
Page : 255 pages
File Size : 43,9 Mb
Release : 2017-04-29
Category : Computers
ISBN : 9783319534206

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Trends in Social Network Analysis by Rokia Missaoui,Talel Abdessalem,Matthieu Latapy Pdf

The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field.

Models and Methods in Social Network Analysis

Peter J. Carrington,John Scott,Stanley Wasserman
Models and Methods in Social Network Analysis Book PDF

Author : Peter J. Carrington,John Scott,Stanley Wasserman
Publisher : Unknown
Page : 328 pages
File Size : 45,7 Mb
Release : 2005-02-07
Category : Psychology
ISBN : 0521809592

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Models and Methods in Social Network Analysis by Peter J. Carrington,John Scott,Stanley Wasserman Pdf

Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Social Network Analysis - Community Detection and Evolution

Rokia Missaoui,Idrissa Sarr
Social Network Analysis Community Detection and Evolution Book PDF

Author : Rokia Missaoui,Idrissa Sarr
Publisher : Springer
Page : 272 pages
File Size : 51,7 Mb
Release : 2015-01-13
Category : Computers
ISBN : 9783319121888

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Social Network Analysis - Community Detection and Evolution by Rokia Missaoui,Idrissa Sarr Pdf

This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.

Studying Social Networks

Marina Hennig,Ulrik Brandes,Jürgen Pfeffer,Ines Mergel
Studying Social Networks Book PDF

Author : Marina Hennig,Ulrik Brandes,Jürgen Pfeffer,Ines Mergel
Publisher : Campus Verlag
Page : 221 pages
File Size : 42,5 Mb
Release : 2012-09
Category : Computers
ISBN : 9783593397634

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Studying Social Networks by Marina Hennig,Ulrik Brandes,Jürgen Pfeffer,Ines Mergel Pdf

This book provides a concise, introduction to empirical network research. Students and practitioners new to social research will find easily understandable learning goals, examples, and exercises all in one volume. The authors have integrated different disciplinary perspectives, while stressing the importance of substance-specific orientation when studying networks. Scholars will find Studying Social Networks a helpful tool not only for teaching, but also as a guide for their own empirical research.

Opinion Dynamics and the Evolution of Social Power in Social Networks

Mengbin Ye
Opinion Dynamics and the Evolution of Social Power in Social Networks Book PDF

Author : Mengbin Ye
Publisher : Springer
Page : 209 pages
File Size : 47,9 Mb
Release : 2019-02-19
Category : Technology & Engineering
ISBN : 9783030106065

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Opinion Dynamics and the Evolution of Social Power in Social Networks by Mengbin Ye Pdf

This book uses rigorous mathematical analysis to advance opinion dynamics models for social networks in three major directions. First, a novel model is proposed to capture how a discrepancy between an individual’s private and expressed opinions can develop due to social pressures that arise in group situations or through extremists deliberately shaping public opinion. Detailed theoretical analysis of the final opinion distribution is followed by use of the model to study Asch’s seminal experiments on conformity, and the phenomenon of pluralistic ignorance. Second, the DeGroot-Friedkin model for evolution of an individual’s social power (self-confidence) is developed in a number of directions. The key result establishes that an individual’s initial social power is forgotten exponentially fast, even when the network changes over time; eventually, an individual’s social power depends only on the (changing) network structure. Last, a model for the simultaneous discussion of multiple logically interdependent topics is proposed. To ensure that a consensus across the opinions of all individuals is achieved, it turns out that the interpersonal interactions must be weaker than an individual’s introspective cognitive process for establishing logical consistency among the topics. Otherwise, the individual may experience cognitive overload and the opinion system becomes unstable. Conclusions of interest to control engineers, social scientists, and researchers from other relevant disciplines are discussed throughout the thesis with support from both social science and control literature.

Models and Methods in Social Network Analysis

Peter J. Carrington,John Scott,Stanley Wasserman
Models and Methods in Social Network Analysis Book PDF

Author : Peter J. Carrington,John Scott,Stanley Wasserman
Publisher : Cambridge University Press
Page : 354 pages
File Size : 53,9 Mb
Release : 2005-02-07
Category : Social Science
ISBN : 1139443437

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Models and Methods in Social Network Analysis by Peter J. Carrington,John Scott,Stanley Wasserman Pdf

Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Dynamic Social Networks in Agent-based Modelling

Holzhauer, Sascha
Dynamic Social Networks in Agent based Modelling Book PDF

Author : Holzhauer, Sascha
Publisher : kassel university press GmbH
Page : 416 pages
File Size : 54,6 Mb
Release : 2017
Category : Electronic
ISBN : 9783737602624

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Dynamic Social Networks in Agent-based Modelling by Holzhauer, Sascha Pdf

Agent-based modelling enables the explicit representation of entities and their interaction with each other and the environment, and so it became an important method to study complex systems. Social networks form an important part of agent-based social simulation, as they define the topology of agent interaction. This dissertation initially identifies important properties of social networks and their dynamics and reviews their representation in agent-based models of relevant domains. A classification of levels of detail for the network modelling components initialisation, dynamics of networks, and dynamics on networks is proposed and guides the identification of deficits. A formal, iterative evaluation framework is developed to quantitatively assess network modelling approaches under a set of weighted criteria (representativity, adjustability, validity, and efficiency). The framework is applied to an abstract model of opinion dynamics and to an empirically grounded model of social influence. A lifestyle-specific network survey is designed, conducted, and analysed and helps to ground the evaluation of the network modelling’s representativity on empirical data. The study finds significant differences of degree and distance distributions as well as in the composition of ego networks between lifestyles. New network modelling approaches are developed to account for requirements in agent-based models such as agent-type specific link preferences, degree and distance distributions, community structures, and interaction dynamics. The comparison of simple to elaborated network modelling for the application models shows a significant impact on simulation results, highlighting the need for informed decisions about suitable approaches.

Dynamic Network Theory

James D. Westaby
Dynamic Network Theory Book PDF

Author : James D. Westaby
Publisher : American Psychological Association (APA)
Page : 0 pages
File Size : 48,9 Mb
Release : 2012
Category : Goal (Psychology).
ISBN : 1433810824

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Dynamic Network Theory by James D. Westaby Pdf

Social networks surround us. They are as diverse as a local community trying to help solve a neighborhood crime, a firm wondering how to streamline decision making, or a terrorist cell figuring out how to plan an attack without central coordination. This groundbreaking book explores social networks in formal and informal organizations, using a combination of approaches from social psychology, I/O psychology, organization/management science, social learning, and helping skills. A quantum advance over conventional social network analysis, Dynamic Network Theory examines how social networks articulate goals and generate social capital at various levels. Geared for researchers and practitioners, Dynamic Network Theory is also written for graduate students and advanced undergraduate students. Appendixes include primers on designing and analyzing dynamic network charts.

The Oxford Handbook of Social Networks

Ryan Light,James Moody
The Oxford Handbook of Social Networks Book PDF

Author : Ryan Light,James Moody
Publisher : Oxford University Press, USA
Page : 697 pages
File Size : 54,5 Mb
Release : 2020-12-04
Category : Social Science
ISBN : 9780190251765

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The Oxford Handbook of Social Networks by Ryan Light,James Moody Pdf

"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"--

Diffusion in Social Networks

Paulo Shakarian,Abhivav Bhatnagar,Ashkan Aleali,Elham Shaabani,Ruocheng Guo
Diffusion in Social Networks Book PDF

Author : Paulo Shakarian,Abhivav Bhatnagar,Ashkan Aleali,Elham Shaabani,Ruocheng Guo
Publisher : Springer
Page : 101 pages
File Size : 47,5 Mb
Release : 2015-09-16
Category : Computers
ISBN : 9783319231051

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Diffusion in Social Networks by Paulo Shakarian,Abhivav Bhatnagar,Ashkan Aleali,Elham Shaabani,Ruocheng Guo Pdf

This book presents the leading models of social network diffusion that are used to demonstrate the spread of disease, ideas, and behavior. It introduces diffusion models from the fields of computer science (independent cascade and linear threshold), sociology (tipping models), physics (voter models), biology (evolutionary models), and epidemiology (SIR/SIS and related models). A variety of properties and problems related to these models are discussed including identifying seeds sets to initiate diffusion, game theoretic problems, predicting diffusion events, and more. The book explores numerous connections between social network diffusion research and artificial intelligence through topics such as agent-based modeling, logic programming, game theory, learning, and data mining. The book also surveys key empirical results in social network diffusion, and reviews the classic and cutting-edge research with a focus on open problems.

Network-Oriented Modeling

Jan Treur
Network Oriented Modeling Book PDF

Author : Jan Treur
Publisher : Springer
Page : 499 pages
File Size : 42,8 Mb
Release : 2016-10-03
Category : Science
ISBN : 9783319452135

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Network-Oriented Modeling by Jan Treur Pdf

This book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its purpose than and effectively complementing traditional strategies involving isolation and separation assumptions. Network-oriented modeling allows high-level cognitive, affective and social models in the form of (cyclic) graphs to be constructed, which can be automatically transformed into executable simulation models. The modeling format used makes it easy to take into account theories and findings about complex cognitive and social processes, which often involve dynamics based on interrelating cycles. Accordingly, it makes it possible to address complex phenomena such as the integration of emotions within cognitive processes of all kinds, of internal simulations of the mental processes of others, and of social phenomena such as shared understandings and collective actions. A variety of sample models – including those for ownership of actions, fear and dreaming, the integration of emotions in joint decision-making based on empathic understanding, and evolving social networks – illustrate the potential of the approach. Dedicated software is available to support building models in a conceptual or graphical manner, transforming them into an executable format and performing simulation experiments. The majority of the material presented has been used and positively evaluated by undergraduate and graduate students and researchers in the cognitive, social and AI domains. Given its detailed coverage, the book is ideally suited as an introduction for graduate and undergraduate students in many different multidisciplinary fields involving cognitive, affective, social, biological, and neuroscience domains.

Applications of Social Media and Social Network Analysis

Przemysław Kazienko,Nitesh Chawla
Applications of Social Media and Social Network Analysis Book PDF

Author : Przemysław Kazienko,Nitesh Chawla
Publisher : Springer
Page : 240 pages
File Size : 40,8 Mb
Release : 2015-05-28
Category : Computers
ISBN : 9783319190037

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Applications of Social Media and Social Network Analysis by Przemysław Kazienko,Nitesh Chawla Pdf

This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis. Various methodologies were utilized in the twelve individual chapters including static, dynamic and real-time approaches to graph, textual and multimedia data analysis. The topics apply to reputation computation, emotion detection, topic evolution, rumor propagation, evaluation of textual opinions, friend ranking, analysis of public transportation networks, diffusion in dynamic networks, analysis of contributors to communities of open source software developers, biometric template generation as well as analysis of user behavior within heterogeneous environments of cultural educational centers. Addressing these challenging applications is what makes this edited volume of interest to researchers and students focused on social media and social network analysis.

Graph Mining

Deepayan Chakrabarti,Christos Faloutsos
Graph Mining Book PDF

Author : Deepayan Chakrabarti,Christos Faloutsos
Publisher : Springer Nature
Page : 191 pages
File Size : 42,6 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031019036

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Graph Mining by Deepayan Chakrabarti,Christos Faloutsos Pdf

What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, computer-communication networks (intrusion detection, traffic management), protein-protein interaction networks in biology, document-text bipartite graphs in text retrieval, person-account graphs in financial fraud detection, and others. In this work, first we list several surprising patterns that real graphs tend to follow. Then we give a detailed list of generators that try to mirror these patterns. Generators are important, because they can help with "what if" scenarios, extrapolations, and anonymization. Then we provide a list of powerful tools for graph analysis, and specifically spectral methods (Singular Value Decomposition (SVD)), tensors, and case studies like the famous "pageRank" algorithm and the "HITS" algorithm for ranking web search results. Finally, we conclude with a survey of tools and observations from related fields like sociology, which provide complementary viewpoints. Table of Contents: Introduction / Patterns in Static Graphs / Patterns in Evolving Graphs / Patterns in Weighted Graphs / Discussion: The Structure of Specific Graphs / Discussion: Power Laws and Deviations / Summary of Patterns / Graph Generators / Preferential Attachment and Variants / Incorporating Geographical Information / The RMat / Graph Generation by Kronecker Multiplication / Summary and Practitioner's Guide / SVD, Random Walks, and Tensors / Tensors / Community Detection / Influence/Virus Propagation and Immunization / Case Studies / Social Networks / Other Related Work / Conclusions