Social Media Mining and Social Network Analysis: Emerging Research

Social Media Mining and Social Network Analysis: Emerging Research

Guandong Xu (University of Technology, Sydney, Australia) and Lin Li (Wuhan University of Technology, China)
Indexed In: SCOPUS View 1 More Indices
Release Date: January, 2013|Copyright: © 2013 |Pages: 347
ISBN13: 9781466628069|ISBN10: 1466628065|EISBN13: 9781466628076|DOI: 10.4018/978-1-4666-2806-9

Description

Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Data Mining
  • Knowledge Discovery
  • Microblogs
  • Semantic Web
  • Social Network Analysis
  • Social networks
  • Web-Based Communities

Reviews and Testimonials

Drawn in part from a recent workshop on social network analysis and social media mining, these papers cover both algorithms and the growing number of applications in the world of Web 2.0. The volume is edited by Xu (advanced analytics, U. of Technology, Sydney) and Li (computer science and technology, Wuhan U.), and has an international range of contributors.

– Annotation ©2013 Book News Inc. Portland, OR

Social media mining and social network analysis is a hot research area, and the 14 chapters of this book provide a good interdisciplinary overview of the field.

The book is of excellent quality and overall is well written. It can be recommended as a good introduction for a broad audience to gain insight into some challenging topics in social computing.

– Dr. Andreas Holzinger, Graz University of Technology. Online Information Review Vol. 38 No. 1

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Guandong Xu received his PhD degree in Computer Science from Victoria University, Australia, in 2009. Prior to this, he received B.Eng and M.Eng degree in Computer Science and Computer Engineering from Zhejiang University in 1989 and 1992, respectively. He is now a lecturer in the Faculty of Engineering & IT at University of Technology Sydney. During 2008-2009, he was an awardee of the prestigious Endeavour Research Fellowship by Australian Federal Government and working in the University of Tokyo. His research interests cover data mining, machine learning, Internet computing, Web search, recommender systems, social network analysis, data analytics as well as social computing. He has extensively published papers in international journals and conference proceedings in the areas of data mining, Web recommendation and social informatics.
Lin Li is an Associate Professor with School of Computer Science and Technology, Wuhan University of Technology, China. She received a Ph.D degree in Information Science and Technology from the University of Tokyo in 2009. Her research interests cover Web mining, machine learning, natural language processing, information retrieval and so on. She has extensively published papers in international journals and conference proceedings in the areas of information retrieval, Web personalization, recommendation and social network mining.

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