New Book on Modeling and Data Mining in Blogosphere by Morgan and Claypool
Nitin Agarwal
Series: Synthesis Lectures on Data Mining and Knowledge Discovery , Vol. 1
Agarwal, Nitin (University of Arkansas at Little Rock); Liu, Huan
(Arizona State University)
Grossman, Robert (University of Illinois at Chicago) (Ed.)
ISBN: 9781598299083 paperback
ISBN: 9781598299090 ebook
Online version available:
http://www.morganclaypool.com/doi/abs/10.2200/S00213ED1V01Y200907DMK001
About this book:
This book offers a comprehensive overview of the various concepts and
research issues about blogs or weblogs. It introduces techniques and
approaches, tools and applications, and evaluation methodologies with
examples and case studies. Blogs allow people to express their
thoughts, voice their opinions, and share their experiences and ideas.
Blogs also facilitate interactions among individuals creating a
network with unique characteristics. Through the interactions
individuals experience a sense of community. We elaborate on
approaches that extract communities and cluster blogs based on
information of the bloggers. Open standards and low barrier to
publication in Blogosphere have transformed information consumers to
producers, generating an overwhelming amount of ever-increasing
knowledge about the members, their environment and symbiosis. We
elaborate on approaches that sift through humongous blog data sources
to identify influential and trustworthy bloggers leveraging content
and network information. Spam blogs or "splogs" are an increasing
concern in Blogosphere and are discussed in detail with the approaches
leveraging supervised machine learning algorithms and interaction
patterns. We elaborate on data collection procedures, provide
resources for blog data repositories, mention various visualization
and analysis tools in Blogosphere, and explain conventional and novel
evaluation methodologies, to help perform research in the Blogosphere.
Table of Contents:
Chapter 1: Modeling Blogosphere
Chapter 2: Blog Clustering and Community Discovery
Chapter 3: Influence and Trust
Chapter 4: Spam Filtering in Blogosphere
Chapter 5: Data Collection and Evaluation
Appendix A: Tools in Blogosphere
Appendix B: API Examples
Written for:
Engineers, researchers, practitioners, and graduate and senior level
undergraduate students in Computer Science, Information Science, and
related disciplines.
Keywords:
blogosphere, weblogs, blogs, blog model, power law distribution, scale
free networks, degree distribution, clustering coefficient, centrality
measures, clustering, community discovery, influence, diffusion,
trust, propagation, spam blogs, splogs, data collection, blog
crawling, performance evaluation