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KDD
2010
ACM
250views Data Mining» more  KDD 2010»
15 years 6 months ago
On community outliers and their efficient detection in information networks
Linked or networked data are ubiquitous in many applications. Examples include web data or hypertext documents connected via hyperlinks, social networks or user profiles connected...
Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Su...
DIS
2009
Springer
15 years 10 months ago
CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks
Abstract. Information networks, such as social networks and that extracted from bibliographic data, are changing dynamically over time. It is crucial to discover time-evolving comm...
Min-Soo Kim 0002, Jiawei Han
SIGMOD
2010
ACM
223views Database» more  SIGMOD 2010»
15 years 9 months ago
Finding maximal cliques in massive networks by H*-graph
Maximal clique enumeration (MCE) is a fundamental problem in graph theory and has important applications in many areas such as social network analysis and bioinformatics. The prob...
James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey X...
ICALP
2009
Springer
16 years 4 months ago
Towards a Study of Low-Complexity Graphs
Abstract. We propose the study of graphs that are defined by lowcomplexity distributed and deterministic agents. We suggest that this viewpoint may help introduce the element of in...
Sanjeev Arora, David Steurer, Avi Wigderson
HICSS
2010
IEEE
228views Biometrics» more  HICSS 2010»
15 years 11 months ago
How to Establish an Online Innovation Community? the Role of Users and Their Innovative Content
We studied the evolution of an online innovation community and users’ interaction behavior through social network analysis to explore how to build an innovation community and ge...
Julia Hautz, Katja Hutter, Johann Füller, Kur...