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From Security to Community Detection in Social Networking Platforms 1st edition by Panagiotis Karampelas, Jalal Kawash, Tansel Özyer ISBN 3030112853 978-3030112851

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ISBN 10: 3030112853
ISBN 13: 978-3030112851
Author: Panagiotis Karampelas, Jalal Kawash, Tansel Özyer 

This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling.

 

The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM ’17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field.

From Security to Community Detection in Social Networking Platforms 1st Table of contents:

  1. Real-World Application of Ego-Network Analysis to Evaluate Environmental Management Structures
  2. An Evolutionary Approach for Detecting Communities in Social Networks
  3. On Detecting Multidimensional Communities
  4. Derivatives in Graph Space with Applications for Finding and Tracking Local Communities
  5. Graph Clustering Based on Attribute-Aware Graph Embedding
  6. On Counting Triangles Through Edge Sampling in Large Dynamic Graphs
  7. Generation and Corruption of Semi-Structured and Structured Data
  8. A Data Science Approach to Predict the Impact of Collateralization on Systemic Risk
  9. Mining Actionable Information from Security Forums: The Case of Malicious IP Addresses
  10. Temporal Methods to Detect Content-Based Anomalies in Social Media

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Tags: Panagiotis Karampelas, Jalal Kawash, Tansel Özyer, From Security, Community Detection