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ICDM
2008
IEEE
123views Data Mining» more  ICDM 2008»
15 years 6 months ago
Mining Periodic Behavior in Dynamic Social Networks
Social interactions that occur regularly typically correspond to significant yet often infrequent and hard to detect interaction patterns. To identify such regular behavior, we p...
Mayank Lahiri, Tanya Y. Berger-Wolf
CSE
2009
IEEE
15 years 4 months ago
Quantifying Reciprocity in Social Networks
In this paper we propose a new reciprocity index for quantifying social relationships based on mobile phone call detail records and Twitter blogs. We use this reciprocity index to ...
Huiqi Zhang, Ram Dantu, João W. Cangussu
ICASSP
2010
IEEE
14 years 12 months ago
Sparsity-cognizant overlapping co-clustering for behavior inference in social networks
Co-clustering can be viewed as a two-way (bilinear) factorization of a large data matrix into dense/uniform and possibly overlapping submatrix factors (co-clusters). This combinat...
Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Ni...
WWW
2006
ACM
16 years 13 days ago
POLYPHONET: an advanced social network extraction system from the web
Social networks play important roles in the Semantic Web: knowledge management, information retrieval, ubiquitous computing, and so on. We propose a social network extraction syst...
Hideaki Takeda, Junichiro Mori, Kôiti Hasida...
SIVP
2010
118views more  SIVP 2010»
14 years 10 months ago
Self-organization of sensor networks for detection of pervasive faults
Resource aware operation of sensor networks requires adaptive re-organization to dynamically adapt to the operational environment. A complex dynamical system of interacting compone...
Abhishek Srivastav, Asok Ray