From Security to Community Detection in Social Networking Platforms / edited by Panagiotis Karampelas, Jalal Kawash, Tansel Özyer.

Format:

Book

Contributor:

Karampelas, Panagiotis, editor.

Kawash, Jalal, editor.

Özyer, Tansel, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in social networks 2190-5428

Lecture Notes in Social Networks, 2190-5428

Language:

English

Subjects (All):

Data mining.

Social sciences--Data processing.

Social sciences.

Social sciences--Computer programs.

Big data.

Application software.

Statistical physics.

Dynamics.

Data Mining and Knowledge Discovery.

Computational Social Sciences.

Big Data/Analytics.

Computer Appl. in Social and Behavioral Sciences.

Complex Systems.

Local Subjects:

Data Mining and Knowledge Discovery.

Computational Social Sciences.

Big Data/Analytics.

Computer Appl. in Social and Behavioral Sciences.

Complex Systems.

Physical Description:

1 online resource (X, 237 pages) : 98 illustrations, 70 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

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.

Contents:

Chapter1. Real-world application of ego-network analysis to evaluate environmental management structures

Chapter2. An Evolutionary Approach for Detecting Communities in Social Networks

Chapter3. On Detecting Multidimensional Communities

Chapter4. Derivatives in Graph Space with Applications for Finding and Tracking Local Communities

Chapter5. Graph Clustering Based on Attribute-aware Graph Embedding

Chapter6. On Counting Triangles through Edge Sampling in Large Dynamic Graphs

Chapter7. Generation and Corruption of Semi-structured and Structured Data

Chapter8. A Data Science Approach to Predict the Impact of Collateralization on Systemic Risk

Chapter9. Mining actionable information from security forums: the case of malicious IP addresses

Chapter10. Temporal Methods to Detect Content-Based Anomalies in Social Media.

Other Format:

Printed edition:

ISBN:

978-3-030-11286-8

9783030112868

9783030112851

9783030112875

Access Restriction:

Restricted for use by site license.