ISBN:
9783319121888
Language:
English
Pages:
Online-Ressource (1 online resource (282 p.))
Edition:
Online-Ausg.
Series Statement:
Ebrary online
Series Statement:
Lecture Notes in Social Networks Ser.
Series Statement:
Lecture Notes in Social Networks
Series Statement:
EBL-Schweitzer
Parallel Title:
Druckausg. Social network analysis
DDC:
004
Keywords:
Computer science
;
Data mining
;
Social sciences_xMethodology
;
Social networks ; Research..
;
Social networks ; Data processing..
;
Sociology ; Research..
;
Communities..
;
Community development..
;
Web 2.0
;
Electronic books
;
Electronic books
Abstract:
Foreword; Preface; Contents; Contributors; The Emergence of Communities and Their Leaders on Twitter Following an Extreme Event; 1 Introduction; 2 Related Work; 2.1 Warning Response Process During Emergencies; 2.2 Social Media During Emergencies; 2.3 Social Network Analysis and Twitter; 2.4 Open-Domain Event Discovery; 2.5 First Story Detection; 3 Methodology; 3.1 Overview; 3.2 NLP Approach; 3.3 SNA Methodology; 4 Data Description; 5 Results; 5.1 Natural Language Processing; 5.2 Twitter Network Communities; 5.3 Community Leaders; 6 Conclusion and Future Research; References
Abstract:
Hierarchical and Matrix Structures in a Large Organizational Email Network: Visualization and Modeling Approaches1 Introduction; 2 Analysis and Visualization of Organizational Structure; 2.1 Structural Relationships Between Elements of the Organization; 2.2 Structural Relationships Within Organizational Units; 3 Node Connectivity Distribution as a Function of Organizational Hierarchy; 4 Email Traffic in Real Time; 5 Conclusion; References; Overlaying Social Networks of Different Perspectives for Inter-network Community Evolution; 1 Introduction; 1.1 Motivations; 1.2 Contributions
Abstract:
2 Basic Concepts and Definitions2.1 Activity; 2.2 Perspective Community; 3 Tracking Node Behavior Over Time; 3.1 Identification of Active and Passive Actors; 3.2 Algorithm; 3.3 Applications; 4 Tracking Community Evolution Using Probability Theory; 4.1 Estimating Node Relationship Using Probabilities; 4.2 Example; 4.3 Discussion; 5 Tracking Community Evolution Using Possibility Theory; 5.1 Why Possibility Theory?; 5.2 Perspective Community Detection Using Possibility Theory; 5.3 Algorithm; 6 Model Evaluation; 6.1 Test Data; 6.2 Building the Initial Network; 6.3 Validation
Abstract:
6.4 Parameter Turning7 Conclusion and Future Work; References; Study of Influential Trends, Communities, and Websites on the Post-election Events of Iranian Presidential Election in Twitter; 1 Introduction; 2 Previous Works; 3 Data Collection; 3.1 Network Growth; 4 Trend Analysis; 4.1 User Activity; 4.2 Trending Keywords; 5 Influential Websites; 5.1 Popular Websites for English-Speaking Users; 5.2 Popular Websites for Persian-Speaking Users; 6 Follower-Followee Network; 6.1 Political Groups; 7 Conclusion; References
Abstract:
Entanglement in Multiplex Networks: Understanding Group Cohesion in Homophily Networks1 Introduction; 2 A New Look at Homophily Networks: Introducing the Entanglement Index in Multiplex Networks; 2.1 Interaction Networks; 2.2 Attribute Interaction Matrices and the Entanglement Index; 2.3 Homogeneity and Intensity; 2.4 Weighted Interactions; 3 Case Studies; 3.1 IMDB; 3.2 Hopping Between the Entity and Attribute Networks; 3.3 InfoVis 2004 Contest; 3.4 Comparative Results from the InfoVis 2004 Contest; 3.5 Edgeryders; 4 Conclusion and Future Work; References
Abstract:
An Elite Grouping of Individuals for Expressing a Core Identity Based on the Temporal Dynamicity or the Semantic Richness
Abstract:
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 edit
Note:
Description based upon print version of record
URL:
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