Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

✍ Scribed by Nitin Agarwal, Nima Dokoohaki, Serpil Tokdemir

Publisher: Springer International Publishing
Year: 2019
Tongue: English
Leaves: 282
Series: Lecture Notes in Social Networks
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies.

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.

✦ Table of Contents

Front Matter ....Pages i-x
Front Matter ....Pages 1-1
Intent Mining for the Good, Bad, and Ugly Use of Social Web: Concepts, Methods, and Challenges (Hemant Purohit, Rahul Pandey)....Pages 3-18
Bot-ivistm: Assessing Information Manipulation in Social Media Using Network Analytics (Matthew C. Benigni, Kenneth Joseph, Kathleen M. Carley)....Pages 19-42
Studying Fake News via Network Analysis: Detection and Mitigation (Kai Shu, H. Russell Bernard, Huan Liu)....Pages 43-65
Predictive Analysis on Twitter: Techniques and Applications (Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, I. Budak Arpinar)....Pages 67-104
Front Matter ....Pages 105-105
Using Subgraph Distributions for Characterizing Networks and Fitting Random Graph Models (Benjamin Cabrera)....Pages 107-129
Testing Assessment of Group Collaborations in OSNs (Izzat Alsmadi, Mohammad Al-Abdullah)....Pages 131-152
Dynamics of Overlapping Community Structures with Application to Expert Identification (Mohsen Shahriari, Ralf Klamma, Matthias Jarke)....Pages 153-208
On Dynamic Topic Models for Mining Social Media (Shatha Jaradat, Mihhail Matskin)....Pages 209-230
Front Matter ....Pages 231-231
Domain-Specific Use Cases for Knowledge-Enabled Social Media Analysis (Soon Jye Kho, Swati Padhee, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Amit Sheth)....Pages 233-246
Privacy in Human Computation: User Awareness Study, Implications for Existing Platforms, Recommendations, and Research Directions (Mirela Riveni, Christiaan Hillen, Schahram Dustdar)....Pages 247-267
Back Matter ....Pages 269-278

✦ Subjects

Social Sciences; Computational Social Sciences; Data Mining and Knowledge Discovery; Data-driven Science, Modeling and Theory Building; Computer Appl. in Social and Behavioral Sciences

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