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KDD
2012
ACM
197views Data Mining» more  KDD 2012»
11 years 9 months ago
On the separability of structural classes of communities
Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hop...
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...
WIOPT
2010
IEEE
13 years 5 months ago
Static community detection algorithms for evolving networks
—Complex networks can often be divided in dense sub-networks called communities. Using a partition edit distance, we study how three community detection algorithms transform thei...
Thomas Aynaud, Jean-Loup Guillaume
ASUNAM
2011
IEEE
12 years 7 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...
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
14 years 8 months ago
SPOT: A System for Detecting Projected Outliers From High-dimensional Data Streams
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
Ji Zhang, Qigang Gao, Hai H. Wang