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ICDM
2007
IEEE
192views Data Mining» more  ICDM 2007»
14 years 3 months ago
Discovering Temporal Communities from Social Network Documents
Discovering communities from documents involved in social discourse is an important topic in social network analysis, enabling greater understanding of the relationships among act...
Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee...
BMCBI
2010
139views more  BMCBI 2010»
13 years 8 months ago
TOPSAN: a collaborative annotation environment for structural genomics
Background: Many protein structures determined in high-throughput structural genomics centers, despite their significant novelty and importance, are available only as PDB depositi...
Dana Weekes, S. Sri Krishna, Constantina Bakolitsa...
BMCBI
2010
101views more  BMCBI 2010»
13 years 8 months ago
Comparative analysis of thermophilic and mesophilic proteins using Protein Energy Networks
Background: Thermophilic proteins sustain themselves and function at higher temperatures. Despite their structural and functional similarities with their mesophilic homologues, th...
M. S. Vijayabaskar, Saraswathi Vishveshwara
GIS
2010
ACM
13 years 6 months ago
OpenSense: open community driven sensing of environment
This paper outlines a vision for community-driven sensing of our environment. At its core, community sensing is a dynamic new form of mobile geosensor network. We believe that com...
Karl Aberer, Saket Sathe, Dipanjan Chakraborty, Al...
EPIA
2009
Springer
14 years 3 months ago
An Algorithm to Discover the k-Clique Cover in Networks
Abstract. In social network analysis, a k-clique is a relaxed clique, i.e., a kclique is a quasi-complete sub-graph. A k-clique in a graph is a sub-graph where the distance between...
Luís Cavique, Armando B. Mendes, Jorge M. A...