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» On Generating Random Network Structures: Connected Graphs
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112
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CIKM
2009
Springer
15 years 7 months ago
Networks, communities and kronecker products
Emergence of the web and online computing applications gave rise to rich large scale social activity data. One of the principal challenges then is to build models and understandin...
Jure Leskovec
MSWIM
2009
ACM
15 years 7 months ago
HUBCODE: message forwarding using hub-based network coding in delay tolerant networks
Most people-centric delay tolerant networks have been shown to exhibit power-law behavior. Analysis of the temporal connectivity graph of such networks reveals the existence of hu...
Shabbir Ahmed, Salil S. Kanhere
117
Voted
SAC
2008
ACM
15 years 1 days ago
Whom should I trust?: the impact of key figures on cold start recommendations
Generating adequate recommendations for newcomers is a hard problem for a recommender system (RS) due to lack of detailed user profiles and social preference data. Empirical evide...
Patricia Victor, Chris Cornelis, Ankur Teredesai, ...
103
Voted
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 1 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
119
Voted
WWW
2008
ACM
16 years 1 months ago
Networked graphs: a declarative mechanism for SPARQL rules, SPARQL views and RDF data integration on the web
Easy reuse and integration of declaratively described information in a distributed setting is one of the main motivations for building the Semantic Web. Despite of this claim, reu...
Simon Schenk, Steffen Staab