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IV
2005
IEEE
178views Visualization» more  IV 2005»
13 years 10 months ago
Capturing Team Dynamics through Temporal Social Surfaces
This paper introduces Temporal Social Surfaces. Temporal Social Surfaces show the dynamic evolution of social relationships in groups. Changes in measures of social network analys...
Peter A. Gloor
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 5 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
KDD
2008
ACM
284views Data Mining» more  KDD 2008»
14 years 5 months ago
Community evolution in dynamic multi-mode networks
A multi-mode network typically consists of multiple heterogeneous social actors among which various types of interactions could occur. Identifying communities in a multi-mode netw...
Lei Tang, Huan Liu, Jianping Zhang, Zohreh Nazeri
DSS
2007
128views more  DSS 2007»
13 years 4 months ago
Toward an interoperable dynamic network analysis toolkit
To facilitate the analysis of real and simulated data on groups, organizations and societies, tools and measures are needed that can handle relational or network data that is mult...
Kathleen M. Carley, Jana Diesner, Jeffrey Reminga,...
ICC
2000
IEEE
233views Communications» more  ICC 2000»
13 years 8 months ago
Multicasting Sustained CBR and VBR Traffic in Wireless Ad-Hoc Networks
Wireless ad-hoc networks consist of mobile nodes forming a dynamically changing topology without any infrastructure. Multicasting in a wireless ad-hoc network is difficult and chal...
George D. Kondylis, Srikanth V. Krishnamurthy, Son...