Complex Networks & Their Applications V

Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016)

ISBN: 978-3-319-50900-6 (Print) 978-3-319-50901-3 (Online)

Table of contents (65 chapters)

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  1. Front Matter

    Pages i-xx

  2. Network models

    1. Front Matter

      Pages 1-1

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      Chapter

      Pages 3-16

      A Hypotheses-driven Bayesian Approach for Understanding Edge Formation in Attributed Multigraphs

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      Chapter

      Pages 17-28

      Generating Scaled Replicas of Real-World Complex Networks

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      Chapter

      Pages 29-40

      Modeling of Data Communication Networks using Dynamic Complex Networks and its Performance Studies

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      Chapter

      Pages 41-54

      Testing for the signature of policy in online communities

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      Chapter

      Pages 55-67

      A Temporal-Causal Network Model for the Relation Between Religion and Human Empathy

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      Chapter

      Pages 69-81

      Network-Oriented Modeling and Analysis of Dynamics Based on Adaptive Temporal-Causal Networks

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      Chapter

      Pages 83-94

      What governs a language’s lexicon? Determining the organizing principles of phonological neighbourhood networks

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      Chapter

      Pages 95-107

      Dominance, Deference, and Hierarchy Formation in Wikipedia Edit-Networks

  3. Network Measures

    1. Front Matter

      Pages 109-109

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      Chapter

      Pages 111-122

      Identifying Influential Spreaders by Graph Sampling

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      Chapter

      Pages 123-134

      Influential Actors Detection Using Attractiveness Model in Social Media Networks

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      Chapter

      Pages 135-146

      Analyzing Multiple Rankings of Influential Nodes in Multiplex Networks

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      Chapter

      Pages 147-157

      Preserving Sparsity in Dynamic Network Computations

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      Chapter

      Pages 159-170

      Flows of Knowledge in Citation Networks

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      Chapter

      Pages 171-182

      Detecting Nestedness in Graphs

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      Chapter

      Pages 183-195

      Clustering of Paths in Complex Networks

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      Chapter

      Pages 197-208

      Complexity Analysis of “Small-World Networks” and Spanning Tree Entropy

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      Chapter

      Pages 209-221

      Graph Structure Similarity using Spectral Graph Theory

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      Chapter

      Pages 223-233

      A genetic algorithm-based approach to mapping the diversity of networks sharing a given degree distribution and global clustering

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      Chapter

      Pages 235-245

      Within network learning on big graphs using secondary memory-based random walk kernels

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      Chapter

      Pages 247-259

      A Method for Evaluating the Navigability of Recommendation Algorithms

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