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INFOCOM
2011
IEEE
12 years 10 months ago
Adaptive algorithms for detecting community structure in dynamic social networks
—Social networks exhibit a very special property: community structure. Understanding the network community structure is of great advantages. It not only provides helpful informat...
Nam P. Nguyen, Thang N. Dinh, Ying Xuan, My T. Tha...
BPM
2009
Springer
148views Business» more  BPM 2009»
14 years 2 months ago
A Collaboration and Productiveness Analysis of the BPM Community
The main scientific event for academics working in the field of Business Process Management is the International BPM Conference. In this paper, social network analysis techniques...
Hajo A. Reijers, Minseok Song, Heidi Romero, Umesh...
GECCO
2010
Springer
338views Optimization» more  GECCO 2010»
13 years 6 months ago
Multiobjective evolutionary community detection for dynamic networks
A multiobjective genetic algorithm for detecting communities in dynamic networks, i.e., networks that evolve over time, is proposed. The approach leverages on the concept of evolu...
Francesco Folino, Clara Pizzuti
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
13 years 12 months ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou
IJMMS
2008
73views more  IJMMS 2008»
13 years 7 months ago
Theorizing mobility in community networks
Community networks emerged in North America during the late 1970s and early 1980s. During the past three decades, paradigms for networked information, services, and collaboration ...
John M. Carroll, Mary Beth Rosson