Print

Print


*****  To join INSNA, visit http://www.insna.org  *****

4th Workshop on Link Analysis, Counterterrorism and Security 2006 - Call

for Papers

Held in conjunction with the SIAM - SDM 06 on 20th April 2006.

http://www.cs.rit.edu/~amt/linkanalysis06/

     With the increasing amount of data available electronically the 
need for tools and techniques to extract, analyze, and make sense of 
massive social data sets, many of which have strong temporal and 
geographic features, has escalated.  This has led to dramatic increase 
in research in areas such as link analysis, social network analysis, 
dynamic network analysis, text analysis, data mining and machine 
learning. Research in areas such as link analysis, social network 
analysis, dynamic network analysis, and text analysis has a long 
history. It is important to understand how information flows in 
organizations, how people form relationships and connections, and how 
these processes affect decision-making. Results of this research have 
been applied to understand pathologies in organizations: how collusion 
and fraud reveal themselves in the links within and among organizations.

     This year we will encourage both the practical and theoretical 
perspectives to solving problems related to mining large-scale dynamic 
social network datasets including the Enron e-mail dataset, instant 
messaging logs and online blog sources. In addition to the objectives of 
previous years we specifically wish to bring together social network 
statisticians with computer science data miners.

     The workshop attracts a mixture of academics, and security and 
counterterrorism practitioners. It provides a venue in which to present 
early work in relevant areas. Online proceedings will be created, and 
hardcopy proceedings will be available to conference attendees (and 
through SIAM afterwards). However, authors may retain copyright.

     Industrial organizations with products suitable for analyzing 
large datasets related to the theme of the workshop may also wish to 
participate, either directly in the workshop or in an industrial track 
in the main conference.

     Topics of Interest Include: Link analysis, Graph mining, 
Relational data mining, Social Network Analysis, Dynamic network 
analysis, Web mining applied to security and counterterrorism, Text 
mining applied to security and counterterrorism, Scalability of 
algorithms, Visualization of link structures, Performance evaluation 
measures, Innovative applications related to link analysis, Privacy 
issues, Novel Applications.

Important Dates -

Submissions Due - 14th January 2006.

Acceptance Notification - 1st February 2006.

Camera Ready Papers Due - 13th February 2006.

List of accepted papers and Preliminary Workshop Schedule - 20th 
February 2006.

Workshop Day - 20th April 2006.



Organization -

Co-Chairs:

Kathleen Carley
Institute for Software Research International
School of Computer Science
Carnegie-Mellon University
Kathleen.carley AT cmu DOT edu

Ankur M. Teredesai
Laboratory for Discovery Informatics
Department of Computer Science
Rochester Institute of Technology   amt AT cs DOT rit DOT edu

Program Committee -


Daniel Barbara, Geoge Mason University
Michael Berry, University of Tennessee
Deepayan Chakrabarti, Yahoo Inc.
Hsinchun Chen, University of Arizona
Terrill Frantz, CMU
Lise Getoor, University of Maryland
Jeffrey Johnson, East Carolina University
Ju-Sung Lee, CMU
Ying Li, Microsoft
Castellanos Malu G, Hewlett-Packard
William Pottenger, Lehigh University
Edna Reid, University of Arizona
Lisa Singh, Georgetown University
David Skillicorn, Queens University
Bulent Yener, Rensellear Polytechnic Institute

Kindly e-mail questions and comments to amt AT cs DOT rit DOT edu or 
[log in to unmask]

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.