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Computational Data and Social Networks

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Cover of 'Computational Data and Social Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Minimizing Influence of Rumors by Blockers on Social Networks
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    Chapter 2 Budgeted Competitive Influence Maximization on Online Social Networks
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    Chapter 3 Blockchain Queue Theory
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    Chapter 4 Optimal Energy Efficiency Data Dissemination Strategy Based on Optimal Stopping Theory in Mobile Network
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    Chapter 5 Cease with Bass: A Framework for Real-Time Topic Detection and Popularity Prediction Based on Long-Text Contents
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    Chapter 6 Application of SIRUS in Credit Card Fraud Detection
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    Chapter 7 Graph Convolutional Networks: Algorithms, Applications and Open Challenges
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    Chapter 8 A Path Planning Approach with Maximum Traffic Flow and Minimum Breakdown Probability in Complex Road Network
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    Chapter 9 Optimal Resource Allocation for Brokers in Media Cloud
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    Chapter 10 Towards a New Evolutionary Algorithm for the Minimum Tollbooth Problem
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    Chapter 11 Methods for Optimal Resource Allocation on Cooperative Task Scheduling in Cross-Organizational Business Process
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    Chapter 12 A Vehicular Collision Avoidance Routing Algorithm based on V2V
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    Chapter 13 Embedded Software-Define Radio for Wearable Microware Detection
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    Chapter 14 Group Based Immunization Strategy on Networks with Nonlinear Infectivity
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    Chapter 15 Question Understanding in Community-Based Question Answering Systems
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    Chapter 16 User Linkage Across Anonymizd Social Networks
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    Chapter 17 K-Shell Rank Analysis Using Local Information
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    Chapter 18 Leveraging Blockchain to Enhance Data Privacy in IoT-Based Applications
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    Chapter 19 A Formal Model for Temporal - Spatial Event in Internet of Vehicles
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    Chapter 20 A Decentralized Deterministic Information Propagation Model for Robust Communication
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    Chapter 21 Gaming Bot Detection: A Systematic Literature Review
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    Chapter 22 Graph-Based Comparison of IoT and Android Malware
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    Chapter 23 Revisiting of ‘Revisiting the Stop-and-Stare Algorithms for Influence Maximization’
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    Chapter 24 An Issue in the Martingale Analysis of the Influence Maximization Algorithm IMM
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    Chapter 25 A Stochastic Model for File Lifetime and Security in Data Center Networks
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    Chapter 26 The Design of Real Time Recording System for Electric Spark Source Parameters Based on the Internet of Things
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    Chapter 27 App Tamper Detection and Retrospective Program Research
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    Chapter 28 Deep Self-Taught Learning for Detecting Drug Abuse Risk Behavior in Tweets
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    Chapter 29 Refined Weighted Random Forest and Its Application to Credit Card Fraud Detection
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    Chapter 30 A Congestion Control Protocol for Wireless Sensor Networks
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    Chapter 31 Penalty Shutdown Mitigation in Wireless Sensor Networks Powered by Ambient Energy
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    Chapter 32 On Forwarding Protocols in Linear Topology Wake-up Wireless Sensor Networks
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    Chapter 33 Effect of Topological Structure and Coupling Strength in Weighted Multiplex Networks
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    Chapter 34 A Single-Pair Antenna Microwave Medical Detection System Based on Unsupervised Feature Learning
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    Chapter 35 Forgetting Punished Recommendations for MOOC
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    Chapter 36 Internet Rurality: Developing an Index for Network Distance from Popular Internet Services
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    Chapter 37 Ranking Academic Advisors: Analyzing Scientific Advising Impact Using MathGenealogy Social Network
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    Chapter 38 A Rich Ranking Model Based on the Matthew Effect Optimization
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    Chapter 39 A Load-Balanced and Low-Delay Data Collection for Wireless Sensor Networks
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    Chapter 40 Research on Telecom Flow Operation Based on User Profile
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    Chapter 41 Information Spreading in Social Network Through Explosive Percolation Theory
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    Chapter 42 A Novel Method for Detecting APT Attacks by Using OODA Loop and Black Swan Theory
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    Chapter 43 MLSPD - Machine Learning Based Spam and Phishing Detection
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    Chapter 44 Smart Crowdsourcing Based Content Review System (SCCRS): An Approach to Improve Trustworthiness of Online Contents
Overall attention for this book and its chapters
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Title
Computational Data and Social Networks
Published by
Springer International Publishing, February 2019
DOI 10.1007/978-3-030-04648-4
ISBNs
978-3-03-004647-7, 978-3-03-004648-4
Editors

Chen, Xuemin, Sen, Arunabha, Li, Wei Wayne, Thai, My T.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 30%
Student > Ph. D. Student 4 17%
Student > Bachelor 2 9%
Researcher 2 9%
Other 1 4%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Computer Science 12 52%
Engineering 3 13%
Nursing and Health Professions 1 4%
Philosophy 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 4 17%