Prediction and Inference from Social Networks and Social Media, Jalal Kawash; Nitin Agarwal; Tansel ?zyer

Автор: William G. Kennedy; Nitin Agarwal; Shanchieh Jay Y
Название: Social Computing, Behavioral-Cultural Modeling and Prediction
ISBN: 331905578X ISBN-13(EAN): 9783319055787
Издательство: Springer
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Цена: 77320.00 T
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Описание: This book constitutes the refereed proceedings of the 7th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2014, held in Washington, DC, USA, in April 2014.

Автор: Srinivas Virinchi; Pabitra Mitra
Название: Link Prediction in Social Networks
ISBN: 3319289217 ISBN-13(EAN): 9783319289212
Издательство: Springer
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Цена: 46570.00 T
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Описание: In the context of link prediction indense networks, the text proposes similarity measures based on Markov inequalitydegree thresholding (MIDTs), which only consider nodes whose degree is above a thresholdfor a possible link.

Автор: Shalini R. Urs; Jin-Cheon Na; George Buchanan
Название: Digital Libraries: Social Media and Community Networks
ISBN: 3319035983 ISBN-13(EAN): 9783319035987
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the 15th International Conference on Asia-Pacific Digital Libraries, ICADL 2013, held in Bangalore, India, in December 2013. The 15 revised full papers, 6 revised short papers and 10 poster papers were carefully reviewed and selected from 87 submissions.

Автор: Mehmet Kaya; ?zcan Erdo?an; Jon Rokne
Название: From Social Data Mining and Analysis to Prediction and Community Detection
ISBN: 3319513664 ISBN-13(EAN): 9783319513669
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book presents the state-of-the-art in various aspects of analysis and mining of online social networks.

Автор: Huan Liu; John Salerno; Michael J. Young
Название: Social Computing, Behavioral Modeling, and Prediction
ISBN: 1441945970 ISBN-13(EAN): 9781441945976
Издательство: Springer
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Цена: 167700.00 T
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Описание: Preface.- Acknowledgments.- List of Contributors.- Rational Choice Theory: A Forum for Exchange of Ideas between the Hard and Social Sciences in Predictive Behavioral Modeling.- The SOMA Terror Organization Portal (STOP): Social network and analytic tools for the real-time analysis of terror groups.- The Sociology of Alien Rule.- The DoD Encounters the Blogosphere.- Integrating Multi-Agent Technology with Cognitive Modeling to Develop an Insurgency Information Framework (IIF).- Stochastic Opponent Modeling Agents: A Case Study with Hezbollah.- An approach to modeling group behaviors and beliefs in conflict situations.- Computational Models of Multi-national Organizations.- Clustering of Trajectory Data Obtained from Soccer Game Records - A First Step to Behavioral Modeling.- Mobile Phone Data for Inferring Social Network Structure.- Human Behavioral Modeling Using Fuzzy and Dempster-Shafer Theory.- Online Behavioral Analysis and Modeling Methodology (OBAMM - Mining for Social Processes in Intelligence Data Streams.- An Ant Colony Optimization Approach to Expert Identification in Social Networks.- Attribution-based Anomaly Detection: Trustworthiness in an Online Community.- Particle Swarm Social Model for Group Social Learning in Adaptive Environment.- Social Network Analysis: Tasks and Tools.- Behavioral Entropy of a Cellular Phone.- Community Detection in a Large Real-World Social Network.- Where are the slums? New approaches to urban regeneration.- A Composable Discrete-Time Cellular Automaton Formalism.- Designing Group Annotations and Process Visualizations for Role-Based Collaboration.- Modeling Malaysian Public Opinion by Mining the Malaysian Blogosphere.- Reading Between the Lines: Human-centered Classification of Communication Patterns and Intentions.- Metagame Strategies of Nation-States, with Application to Cross-Strait Relations.- Automating Frame Analysis.- Using Topic Analysis to Compute Identity Group Attributes.- Biographies.- Author Index.

Автор: Ioannis Pitas
Название: Graph-Based Social Media Analysis
ISBN: 149871904X ISBN-13(EAN): 9781498719049
Издательство: Taylor&Francis
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Цена: 107190.00 T
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Описание:

Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media. It addresses an important scientific and technological challenge, namely the confluence of graph analysis and network theory with linear algebra, digital media, machine learning, big data analysis, and signal processing.

Supplying an overview of graph-based social media analysis, the book provides readers with a clear understanding of social media structure. It uses graph theory, particularly the algebraic description and analysis of graphs, in social media studies.

The book emphasizes the big data aspects of social and digital media. It presents various approaches to storing vast amounts of data online and retrieving that data in real-time. It demystifies complex social media phenomena, such as information diffusion, marketing and recommendation systems in social media, and evolving systems. It also covers emerging trends, such as big data analysis and social media evolution.

Describing how to conduct proper analysis of the social and digital media markets, the book provides insights into processing, storing, and visualizing big social media data and social graphs. It includes coverage of graphs in social and digital media, graph and hyper-graph fundamentals, mathematical foundations coming from linear algebra, algebraic graph analysis, graph clustering, community detection, graph matching, web search based on ranking, label propagation and diffusion in social media, graph-based pattern recognition and machine learning, graph-based pattern classification and dimensionality reduction, and much more.

This book is an ideal reference for scientists and engineers working in social media and digital media production and distribution. It is also suitable for use as a textbook in undergraduate or graduate courses on digital media, social media, or social networks.

Название: Social Networks, Terrorism and Counter-terrorism
ISBN: 1138828564 ISBN-13(EAN): 9781138828568
Издательство: Taylor&Francis
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Цена: 158230.00 T
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Описание: This book examines two key themes in terrorism studies, the radicalization process and counter-terrorism policies, through the lens of social networks.

Автор: Nguyen
Название: Computational Social Networks
ISBN: 3319423444 ISBN-13(EAN): 9783319423449
Издательство: Springer
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Цена: 52170.00 T
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Описание: The papers cover topics on common principles, algorithms and tools that govern social network structures/topologies, functionalities, social interactions, security and privacy, network behaviors, information diffusions and influence, social recommendation systems which are applicable to all types of social networks and social media.

Автор: Giovanna Miritello
Название: Temporal Patterns of Communication in Social Networks
ISBN: 3319001094 ISBN-13(EAN): 9783319001098
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book reveals that human temporal patterns of interaction significantly affect the traditional view of social networks, shifting from a very steady to a highly complex entity. It reveals new features of how complex social networks develop over time.

Автор: Dmitry I. Ignatov; Mikhail Yu. Khachay; Valeri G.
Название: Analysis of Images, Social Networks and Texts
ISBN: 3319529196 ISBN-13(EAN): 9783319529196
Издательство: Springer
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Цена: 69870.00 T
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Описание: This book constitutes the proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, held in Yekaterinburg, Russia, in April 2016.The 23 full papers, 7 short papers, and 3 industrial papers were carefully reviewed and selected from 142 submissions.

Автор: Rokia Missaoui; Sergei O. Kuznetsov; Sergei Obiedk
Название: Formal Concept Analysis of Social Networks
ISBN: 3319641662 ISBN-13(EAN): 9783319641669
Издательство: Springer
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Цена: 102480.00 T
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Описание: The book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory.

Автор: Hema Banati; Siddhartha Bhattacharyya; Ashish Mani
Название: Hybrid Intelligence for Social Networks
ISBN: 3319651382 ISBN-13(EAN): 9783319651385
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks.