Social Network Analytics: Computational Research Methods and Techniques

✍ Scribed by Nilanjan Dey, Samarjeet Borah, Rosalina Babo, Amira Salah Ashour

• Publisher: Academic Press
• Year: 2018
• Tongue: English
• Leaves: 260
• Category: Library

✦ Synopsis

Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more.

As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more.

✦ Table of Contents

Cover
Social Network Analytics:

Computational Research
Methods and Techniques
Copyright
Contributors
Editors Biography
Preface
1
Classification and Analysis of Facebook Metrics Dataset Using Supervised Classifiers
Introduction
Literature Review
Bayes Classifiers
Function Classifiers
Lazy Classifiers
Metaclassifiers
Rule Classifiers
Tree Classifiers
Other Classifiers
Dataset Analysis
Results and Discussion
Conclusion
References
2
An Overview on Social Networking: Design, Issues, Emerging Trends, and Security
Introduction
Literature Review
Promising Issues and Security Challenges in Social Networking
Security Threat in Educational Social Network
Security, Issues, and Challenges in Social Network [2]
Influence Maximization in Social Networks
Data Communication in VSN
Crowd Sourcing Complex Tasks
Polar Opinion Dynamic in Social Network
Privacy Preservation Location Sharing
Social Networking in Educational Networks
The Role of Social Network in a Disaster Scenario
Delegation Model in Social Networks
Social Network Formation Model
Financial Outcome of Social Networks
Pervasive Social Networking
Security and Privacy in Wireless Body Area Network
Analysis of Social Networking Issues Related to Area of Focus
Cooperation in Social Networking Members Under a VANET
Challenging Aspects in Social Networking
Static and Dynamic Social Network Model
Static Network Model
Dynamic Social Network Model
A Framework for Dynamic Social Model
Use of Dynamic Social Network: Social-Aware Routing in MANET
Factors That Affect the Design of a Social Network
Management of Relationship Among Users in a Social Network
Profit by Social Network
Type of Content Floating in Social Networks
Audience of Social Network Site
Security Prospective in Social Networking
Social Networking: Information Leakage and Theft Mechanism
Trust Relationship in Facebook
Phishing Technique of Attack in Facebook
Source Identification of Spread Rumor in Social Networks
Impact of SNSs-Facebook as a Case Study
Facebook Clients Are More Trusting Than Others
Facebook Users Have All the More Pleasant Connections
Facebook Clients Get More Social Help Than Other Individuals
Conclusion
References
Further Reading
3
Emergence of Stable and Glassy States in Dynamics of Social Networks
Introduction
Current State and Historical Development
Heider Balanced Theory
Energy Reduction
Evolving Networks
Pseudo-Paths Toward Jammed States
Discussion
Role of Individuals Participation
Inverse Participation Ratio
Effect of Gain and Loss of Esteem in Heider's Balance Theory
Balanced States
Differential Equation
Discussion
Glassy States in Aging Social Networks
Evolution of Aging Networks
Discussion
Simulation Model
Formation of Aged Networks
Conclusion
References
4
De-Anonymization Techniques for Social Networks
Introduction
Necessity of Publishing of Social Networks
Academic and Government Data Mining
Advertising
Third-Party Applications
Aggregation
Other Data-Release Scenarios
Overview of Anonymization Techniques
De-Anonymization Techniques
De-Anonymization Attacks
Privacy Breach
Passive Attack
Active Attack
Broad Category of Active Attacks
Two-Stage De-Anonymization Algorithm [1]
Seed Identification
Propagation
Some Concepts
Other De-Anonymization Techniques
Conclusions
References
Further Reading
5
An Analysis of Demographic and Behavior Trends Using Social Media: Facebook, Twitter, and Instagram
Introduction
Material and Methods
Data Collection
Data Inclusion Criteria
Analysis of Raw Data
Results
Statistical Analysis
Research Papers According to Year
Data Collection Method and Behavior Analysis Methods Used
Classification Based on Different Methods
Discussion
Conclusion
Author Contribution
References
Further Reading
6
Social Network Influence on Mode Choice and Carpooling During Special Events: The Case of Purdue Game Day
Introduction
Background and Related Work
Data
Modeling Framework
Model Estimation Results
Model 1 (Car Owners)
Density, Network Size, and Ego-Alter Tie Attributes
Homophily Indexes
Heterogeneity Indexes
Location Variables
Model 2 (Non-Car Owners)
Density, Network Size, and Ego-Alter Tie Attributes
Homophily Indexes
Heterogeneity Indexes and Location Variables
Conclusions
References
7
Sentiment Analysis on a Set of Movie Reviews Using Deep Learning Techniques
Introduction
Deep Learning
Learning Neural Networks
Curse of Dimensionality
Essence of Deep Learning
Convolution Neural Networks
Sentiment Analysis
Challenges Faced While Analyzing Sentiments
Related Works
The Proposed Methodology
Movie Reviews Used
File Descriptions
Data Fields
Results and Discussion
Discussions and Conclusion
References
8
Sentiment Analysis for Airlines Services Based on Twitter Dataset
Introduction
Literature Survey
Concept and Architecture of Sentiment Analysis
Description of Dataset
Proposed Methodologies
BIRCH Clustering (Balanced Iterative Reducing and Clustering Using Hierarchies)
Association Rule Mining
Interestingness Computation
Result and Discussion
Word Frequency Consideration and Cloud of Words Formation for Every Sentiments
Determining the Association Between Words
Cluster Analysis of Words and Their Association
Conclusion and Future Work
References
Further Reading
9
Multilateral Interactions and Isolation in Middlemen-Driven Network Games
Introduction
Preliminaries
Network Game With Middlemen
The NMMI Value for the Class VMg
Empirical Illustration
Conclusion
Acknowledgments
References
10
The Interplay of Identity and Social Network: A Methodological and Empirical Study
Introduction
Openness and Awareness
Survey Details
Openness and Awareness Metric
Results and Discussion
Descriptive Statistics
Interaction Pattern
Distribution of Openness
Conclusion
Acknowledgments
References
11
Social Networks and Their Uses in the Field of Secondary Education
Introduction
Social Networks in Secondary Education: A Critical Look From a Triple Multilevel View
Microlevel: Uses of Social Networks for Teaching and Learning
Mesolevel: Institutional Uses of Social Networks
Macrolevel: Policies That Promote the Development of Digital Skills and the Incorporation of Information and Communi ...
Analysis of the Use Made of Social Networks Among Students in the Fourth Year of Secondary Education
Discussion and Conclusions
Acknowledgments
References
Further Reading
12
NGOs' Communication and Youth Engagement in the Digital Ecosystem
Introduction
NGOs in the Digital Ecosystem
The Mobilization of Young People
Methodology
Results
NGO Communication Activities in Social Networks
The Role of Influencers
Conclusions
References
Further Reading
Index
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
R
S
T
U
V
W
Z
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