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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 13: A Study of Malware Propagation via Online Social Networking
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Citations

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6 Dimensions

Readers on

mendeley
3 Mendeley
Summary Dimensions citations
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Chapter title
A Study of Malware Propagation via Online Social Networking
Chapter number 13
Book title
Mining Social Networks and Security Informatics
Published in
ADS, January 2013
DOI 10.1007/978-94-007-6359-3_13
Book ISBNs
978-9-40-076358-6, 978-9-40-076359-3
Authors

Mohammad Reza Faghani, Uyen Trang Nguyen, Faghani, Mohammad Reza, Nguyen, Uyen Trang

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 67%
Student > Bachelor 1 33%
Readers by discipline Count As %
Unspecified 2 67%
Computer Science 1 33%

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