Mining Social Networks and Security Informatics

1. Front Matter

   Pages I-VI

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2. A Model for Dynamic Integration of Data Sources

   • Murat Obali, Bunyamin Dursun

   Pages 1-14

3. Overlapping Community Structure and Modular Overlaps in Complex Networks

   • Qinna Wang, Eric Fleury

   Pages 15-40

4. Constructing and Analyzing Uncertain Social Networks from Unstructured Textual Data

   • Fredrik Johansson, Pontus Svenson

   Pages 41-61

5. Privacy Breach Analysis in Social Networks

   • Frank Nagle

   Pages 63-77

6. Partitioning Breaks Communities

   • Fergal Reid, Aaron McDaid, Neil Hurley

   Pages 79-105

7. SAINT: Supervised Actor Identification for Network Tuning

   • Michael Farrugia, Neil Hurley, Aaron Quigley

   Pages 107-126

8. Holder and Topic Based Analysis of Emotions on Blog Texts: A Case Study for Bengali

   • Dipankar Das, Sivaji Bandyopadhyay

   Pages 127-143

9. Predicting Number of Zombies in a DDoS Attacks Using Isotonic Regression

   • B. B. Gupta, Nadeem Jamali

   Pages 145-159

10. Developing a Hybrid Framework for a Web-Page Recommender System

    • Vasileios Anastopoulos, Panagiotis Karampelas, Reda Alhajj

    Pages 161-181

11. Evaluation and Development of Data Mining Tools for Social Network Analysis

    • Dhiraj Murthy, Alexander Gross, Alexander Takata, Stephanie Bond

    Pages 183-202

12. Learning to Detect Vandalism in Social Content Systems: A Study on Wikipedia

    • Sara Javanmardi, David W. McDonald, Rich Caruana, Sholeh Forouzan, Cristina V. Lopes

    Pages 203-225

13. Perspective on Measurement Metrics for Community Detection Algorithms

    • Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Chawla, Jiawei Han

    Pages 227-242

14. A Study of Malware Propagation via Online Social Networking

    • Mohammad Reza Faghani, Uyen Trang Nguyen

    Pages 243-265

15. Estimating the Importance of Terrorists in a Terror Network

    • Ahmed Elhajj, Abdallah Elsheikh, Omar Addam, Mohamad Alzohbi, Omar Zarour, Alper Aksaç et al.

    Pages 267-283

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 fastgrowing field of cybersecurity.

• Dynamic Integration Data Sources
• Fuzzy Community Structures
• Malware Propagation Social Networks
• Measuremen Metrics Community Detection Algorithms
• Privacy and Social Networks
• SAINT
• Similarity Measures Terrorist Networks
• Terrorist Network Analysis
• complexity

• Department of Computer Engineering, TOBB University, Sogutozu Ankara, Turkey

  Tansel Özyer

• Information Technologies Institute, TUBITAK BILGEM, Kocaeli, Turkey

  Zeki Erdem

• Computer Science, University of Calgary, Calgary, Canada

  Jon Rokne

• American University of Sharjah, Sharjah, Saudi Arabia

  Suheil Khoury

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