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KDD
2007
ACM
154views Data Mining» more  KDD 2007»
16 years 6 months ago
An event-based framework for characterizing the evolutionary behavior of interaction graphs
Interaction graphs are ubiquitous in many fields such as bioinformatics, sociology and physical sciences. There have been many studies in the literature targeted at studying and m...
Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar
WSDM
2012
ACM
254views Data Mining» more  WSDM 2012»
14 years 2 months ago
Maximizing product adoption in social networks
One of the key objectives of viral marketing is to identify a small set of users in a social network, who when convinced to adopt a product will influence others in the network l...
Smriti Bhagat, Amit Goyal 0002, Laks V. S. Lakshma...
IEAAIE
2010
Springer
15 years 4 months ago
Strategies for Incorporating Knowledge Defects and Path Length in Trust Aggregation
The ability for a user to accurately estimate the amount of trust to be placed in a peer user is gaining more and more attention in social network applications. Trust aggregation p...
Nele Verbiest, Chris Cornelis, Patricia Victor, En...
ECSCW
2011
14 years 6 months ago
Digital Traces of Interest: Deriving Interest Relationships from Social Media Interactions
Facebook and Twitter have changed the way we consume information, allowing the people we follow to become our “social filters” and determine the content of our information stre...
Michal Jacovi, Ido Guy, Inbal Ronen, Adam Perer, E...
CIKM
2008
Springer
15 years 8 months ago
Summarization of social activity over time: people, actions and concepts in dynamic networks
We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have dive...
Yu-Ru Lin, Hari Sundaram, Aisling Kelliher