Paper Info
Title
Detecting multiple aliases in social media
Abstract
Monitoring and analysis of web forums is becoming important for intelligence analysts around the globe since terrorists and extremists are using forums for spreading propaganda and communicating with each other. Various tools for analyzing the content of forum postings and identifying aliases that need further inspection by analysts have been proposed throughout literature, but a problem related to this is that individuals can make use of several aliases. In this paper we propose a number of matching techniques for detecting forum users who make use of multiple aliases. By combining different techniques such as time profiling and stylometric analysis of messages the accuracy of recognizing users with multiple aliases increases, as shown in experiments conducted on the ICWSM dataset boards.ie.
Year
DOI
Venue
2013
10.1145/2492517.2500261
ASONAM
Keywords
Field
DocType
stylometric analysis,different technique,icwsm dataset board,time profiling,intelligence analyst,social media,multiple alias,forum postings,web forum,multiple aliases increase,forum user,pattern matching,computer science
Data mining,Globe,World Wide Web,Social media,Profiling (computer programming),Computer science,Pattern matching
Conference
Citations 
PageRank 
References 
18
0.80
15
Authors
3
Name
Order
Citations
PageRank
Fredrik Johansson1957.18
Lisa Kaati214417.65
Amendra Shrestha3334.38