ISBN:
9783709113462
Language:
English
Pages:
1 online resource (651 pages)
Edition:
1st ed.
Series Statement:
Lecture Notes in Social Networks Ser. v.6
Parallel Title:
Erscheint auch als
DDC:
302.3
Keywords:
Online social networks ; Congresses..
;
Web usage mining ; Congresses
;
Electronic books
Abstract:
In recent years, social network research has advanced significantly with the development of sophisticated techniques for Social Network Analysis and Mining (SNAM). This book traces parallels between new social media and similar social patterns.
Abstract:
Intro -- The Influence of Technology on Social Network Analysis and Mining -- Preface -- Contents -- Contributors -- Chapter 1 EgoClustering: Overlapping Community Detection via Merged Friendship-Groups -- 1.1 Introduction -- 1.1.1 Terminology -- 1.2 Related Work -- 1.3 Our Approach -- 1.3.1 Defining Community -- 1.3.2 The Need to Allow Overlapping -- 1.3.3 Triangles -- 1.3.4 Friendship-Groups -- 1.3.5 Algorithm -- 1.3.6 Performance -- 1.3.7 Improving Performance -- 1.4 Application -- 1.4.1 Caveman -- 1.4.2 Zachary -- 1.4.3 Other Datasets and Follow-on Work -- 1.5 Follow-on Work -- 1.6 Conclusion -- References -- Chapter 2 Optimization Techniques for Multiple Centrality Computations -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Centrality Computation -- 2.3.1 The Power Method -- 2.3.2 Classes of Multiple Computations -- 2.4 Optimization of Combined Centrality Computations -- 2.4.1 Loop Fusion -- 2.4.2 Re-Use of Computation Results -- 2.5 Implementation -- 2.6 Theoretical Analysis -- 2.7 Evaluation -- 2.7.1 Loop Fusion Techniques -- 2.7.2 Re-Use of Results -- 2.8 Conclusions -- References -- Chapter 3 Application of Social Network Metrics to a Trust-Aware Collaborative Model for Generating Personalized User Recommendations -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Preliminaries -- 3.3.1 Social Network Analysis Metrics -- 3.3.2 Collaborative Rating in Social Networks -- 3.4 Influence Model -- 3.5 Experimental Evaluation -- 3.5.1 The Effect of Memory in the Accumulative Local Model -- 3.5.2 Evaluation of the Individual Models -- 3.5.3 Combination of Collaborative Local and Global Models -- 3.5.4 Effect of Individual Global Influence Models to the Collaborative Local Model -- 3.5.5 Combination of Multiple Collaborative Localand Global Models -- 3.6 Conclusions and Future Work -- References.
Note:
Description based on publisher supplied metadata and other sources
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