Paper Info
Title
Analysis of communities of interest in data networks
Abstract
Communities of interest (COI) have been applied in a variety of environments ranging from characterizing the online buying behavior of individuals to detecting fraud in telephone networks. The common thread among these applications is that the historical COI of an individual can be used to predict future behavior as well as the behavior of other members of the COI. It would clearly be beneficial if COIs can be used in the same manner to characterize and predict the behavior of hosts within a data network. In this paper, we introduce a methodology for evaluating various aspects of COIs of hosts within an IP network. In the context of this study, we broadly define a COI as a collection of interacting hosts. We apply our methodology using data collected from a large enterprise network over a eleven week period. First, we study the distributions and stability of the size of COIs. Second, we evaluate multiple heuristics to determine a stable core set of COIs and determine the stability of these sets over time. Third, we evaluate how much of the communication is not captured by these core COI sets.
Year
DOI
Venue
2005
10.1007/978-3-540-31966-5_7
PAM
Keywords
Field
DocType
common thread,stable core,online buying behavior,future behavior,ip network,telephone network,data network,historical coi,large enterprise network,core coi set,data collection
Data science,Telephone network,Internet Protocol,World Wide Web,Computer science,Internet protocol suite,Heuristics,Web community,Enterprise private network,Distributed computing,The Internet
Conference
Volume
ISSN
ISBN
3431
0302-9743
3-540-25520-6
Citations 
PageRank 
References 
37
7.07
5
Authors
6
Name
Order
Citations
PageRank
William Aiello17210.42
Charles Kalmanek219724.24
P. McDaniel37174494.57
Subhabrata Sen44098301.31
Oliver Spatscheck53605302.26
Jacobus E. Van Der Merwe61706217.92