Mining Social Networks and Security Informatics

✍ Scribed by Murat Obali, Bunyamin Dursun (auth.), Tansel Özyer, Zeki Erdem, Jon Rokne, Suheil Khoury (eds.)

Publisher: Springer Netherlands
Year: 2013
Tongue: English
Leaves: 282
Series: Lecture Notes in Social Networks
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Crime, terrorism and security are in the forefront of current societal concerns. This edited volume presents research based on social network techniques showing how data from crime and terror networks can be analyzed and how information can be extracted. The topics covered include crime data mining and visualization; organized crime detection; crime network visualization; computational criminology; aspects of terror network analyses and threat prediction including cyberterrorism and the related area of dark web; privacy issues in social networks; security informatics; graph algorithms for social networks; general aspects of social networks such as pattern and anomaly detection; community discovery; link analysis and spatio-temporal network mining. These topics will be of interest to researchers and practitioners in the general area of security informatics. The volume will also serve as a general reference for readers that would want to become familiar with current research in the fast growing field of cybersecurity.

✦ Table of Contents

Front Matter....Pages I-VI
A Model for Dynamic Integration of Data Sources....Pages 1-14
Overlapping Community Structure and Modular Overlaps in Complex Networks....Pages 15-40
Constructing and Analyzing Uncertain Social Networks from Unstructured Textual Data....Pages 41-61
Privacy Breach Analysis in Social Networks....Pages 63-77
Partitioning Breaks Communities....Pages 79-105
SAINT: Supervised Actor Identification for Network Tuning....Pages 107-126
Holder and Topic Based Analysis of Emotions on Blog Texts: A Case Study for Bengali....Pages 127-143
Predicting Number of Zombies in a DDoS Attacks Using Isotonic Regression....Pages 145-159
Developing a Hybrid Framework for a Web-Page Recommender System....Pages 161-181
Evaluation and Development of Data Mining Tools for Social Network Analysis....Pages 183-202
Learning to Detect Vandalism in Social Content Systems: A Study on Wikipedia....Pages 203-225
Perspective on Measurement Metrics for Community Detection Algorithms....Pages 227-242
A Study of Malware Propagation via Online Social Networking....Pages 243-265
Estimating the Importance of Terrorists in a Terror Network....Pages 267-283

✦ Subjects

Security Science and Technology;Data Mining and Knowledge Discovery;Criminology &Criminal Justice;Game Theory/Mathematical Methods;Complexity

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