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» A framework for analysis of dynamic social networks
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KDD
2003
ACM
269views Data Mining» more  KDD 2003»
14 years 9 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
GLOBECOM
2010
IEEE
13 years 6 months ago
Information Epidemics in Complex Networks with Opportunistic Links and Dynamic Topology
Abstract--Wireless networks, especially mobile ad hoc networks (MANET) and cognitive radio networks (CRN), are facing two new challenges beyond traditional random network model: op...
Pin-Yu Chen, Kwang-Cheng Chen
IMC
2009
ACM
14 years 3 months ago
Understanding online social network usage from a network perspective
Online Social Networks (OSNs) have already attracted more than half a billion users. However, our understanding of which OSN features attract and keep the attention of these users...
Fabian Schneider, Anja Feldmann, Balachander Krish...
SIGIR
2010
ACM
14 years 14 days ago
Uncovering social spammers: social honeypots + machine learning
Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...
Kyumin Lee, James Caverlee, Steve Webb
ICASSP
2007
IEEE
14 years 2 months ago
A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...
Junning Li, Z. Jane Wang, Martin J. McKeown