Title
Combining Entity Matching Techniques for Detecting Extremist Behavior on Discussion Boards
Abstract
Many extremist groups and terrorists use the Web for various purposes such as exchanging and reinforcing their beliefs, making monitoring and analysis of discussion boards an important task for intelligence analysts in order to detect individuals that might pose a threat towards society. In this work we focus on how to automatically analyze discussion boards in an effective manner. More specifically, we propose a method for fusing several alias (entity) matching techniques that can be used to identify authors with multiple aliases. This is one part of a larger system, where the aim is to provide the analyst with a list of potential extremist worth investigating further.
Year
DOI
Venue
2012
10.1109/ASONAM.2012.154
Advances in Social Networks Analysis and Mining
Keywords
DocType
ISBN
important task,effective manner,extremist group,intelligence analyst,detecting extremist behavior,combining entity matching techniques,multiple alias,discussion boards,potential extremist,larger system,discussion board,various purpose,terrorism,internet
Conference
978-1-4673-2497-7
Citations 
PageRank 
References 
9
0.70
8
Authors
5
Name
Order
Citations
PageRank
Johan Dahlin1335.24
Fredrik Johansson2957.18
Lisa Kaati314417.65
Christian Martenson4553.93
Pontus Svenson514922.31