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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 7 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
IJMMS
2008
68views more  IJMMS 2008»
13 years 7 months ago
Mobile technologies in mobile spaces: Findings from the context of train travel
Whilst mobile work is increasingly prevalent, there is little detailed study of this phenomenon in the specific context of a train. Thus, the current study focuses on how mobile w...
Carolyn M. Axtell, Donald Hislop, Steve Whittaker
SOCIALCOM
2010
13 years 5 months ago
Bonding vs. Bridging Social Capital: A Case Study in Twitter
Online communities are connecting large numbers of individuals and generating rich social network data, opening the way for empirical studies of social behavior. In this paper, we ...
Matthew S. Smith, Christophe G. Giraud-Carrier
CCS
2009
ACM
14 years 8 months ago
The union-split algorithm and cluster-based anonymization of social networks
Knowledge discovery on social network data can uncover latent social trends and produce valuable findings that benefit the welfare of the general public. A growing amount of resea...
Brian Thompson, Danfeng Yao
KDD
2008
ACM
224views Data Mining» more  KDD 2008»
14 years 7 months ago
The structure of information pathways in a social communication network
Social networks are of interest to researchers in part because they are thought to mediate the flow of information in communities and organizations. Here we study the temporal dyn...
Gueorgi Kossinets, Jon M. Kleinberg, Duncan J. Wat...