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Mining Social Networks and Security Informatics

Overview of attention for book
Cover of 'Mining Social Networks and Security Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 A Model for Dynamic Integration of Data Sources
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    Chapter 2 Overlapping Community Structure and Modular Overlaps in Complex Networks
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    Chapter 3 Constructing and Analyzing Uncertain Social Networks from Unstructured Textual Data
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    Chapter 4 Privacy Breach Analysis in Social Networks
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    Chapter 5 Mining Social Networks and Security Informatics
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    Chapter 6 Mining Social Networks and Security Informatics
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    Chapter 7 Holder and Topic Based Analysis of Emotions on Blog Texts: A Case Study for Bengali
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    Chapter 8 Predicting Number of Zombies in a DDoS Attacks Using Isotonic Regression
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    Chapter 9 Developing a Hybrid Framework for a Web-Page Recommender System
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    Chapter 10 Evaluation and Development of Data Mining Tools for Social Network Analysis
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    Chapter 11 Learning to Detect Vandalism in Social Content Systems: A Study on Wikipedia
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    Chapter 12 Perspective on Measurement Metrics for Community Detection Algorithms
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    Chapter 13 A Study of Malware Propagation via Online Social Networking
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    Chapter 14 Estimating the Importance of Terrorists in a Terror Network
Attention for Chapter 1: A Model for Dynamic Integration of Data Sources
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Citations

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Chapter title
A Model for Dynamic Integration of Data Sources
Chapter number 1
Book title
Mining Social Networks and Security Informatics
Published in
ADS, January 2013
DOI 10.1007/978-94-007-6359-3_1
Book ISBNs
978-9-40-076358-6, 978-9-40-076359-3
Authors

Murat Obali, Bunyamin Dursun, Obali, Murat, Dursun, Bunyamin

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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