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GECCO
2008
Springer
250views Optimization» more  GECCO 2008»
14 years 10 months ago
Community detection in social networks with genetic algorithms
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
Clara Pizzuti
RAID
2009
Springer
15 years 2 months ago
SMS-Watchdog: Profiling Social Behaviors of SMS Users for Anomaly Detection
Guanhua Yan, Stephan Eidenbenz, Emanuele Galli
91
Voted
ASUNAM
2011
IEEE
13 years 9 months ago
Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks
Abstract—Community detection or cluster detection in networks is a well-studied, albeit hard, problem. Given the scale and complexity of modern day social networks, detecting “...
Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Ch...
76
Voted
SOCIALCOM
2010
14 years 7 months ago
Detecting Social Situations from Interaction Geometry
A novel method for quantitatively measuring social interactions on small temporal and spatial scales on the basis of interaction geometry (reduced to the parameters interpersonal d...
Georg Groh, Alexander Lehmann, Jonas Reimers, Marc...
CEAS
2008
Springer
14 years 11 months ago
The Effectiveness of Whitelisting: a User-Study
We believe this paper is the first extensive user-study of whitelisting email addresses. While whitelists are common in social networking and instant messaging (e.g., buddylists),...
David Erickson, Martin Casado, Nick McKeown