Research Article
Finding structure in Blogs: bipartite networks analysis: invited presentation, extended abstract
@INPROCEEDINGS{10.4108/ICST.VALUETOOLS2009.8047, author={Bosiljka Tadic and Marija Mitrovic}, title={Finding structure in Blogs: bipartite networks analysis: invited presentation, extended abstract}, proceedings={4th International ICST Conference on Performance Evaluation Methodologies and Tools}, publisher={ICST}, proceedings_a={VALUETOOLS}, year={2010}, month={5}, keywords={Complex networks Blog structure Cyber communities}, doi={10.4108/ICST.VALUETOOLS2009.8047} }- Bosiljka Tadic
Marija Mitrovic
Year: 2010
Finding structure in Blogs: bipartite networks analysis: invited presentation, extended abstract
VALUETOOLS
ICST
DOI: 10.4108/ICST.VALUETOOLS2009.8047
Abstract
Temporal patterns of activity on Blogs (posting, reading, commenting, comment-on-comment) contain valuable infor- mation about user behavior, which leads to potentially new type of social clustering in the Blog space. Here we show how the structure in Blog space can be retrieved from the data by mapping onto a bipartite graph and using the appro- priate methods of complex networks, including the spectral analysis of graphs [4, 3]. With the analysis of (almost) com- plete set of data from B92 Blogsite since its opening, we demonstrate how the user communities emerge in time and what are possible underlying mechanisms of this structure.
Copyright © 2009–2025 ICST
