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» The Genetic Algorithm as a General Diffusion Model for Socia...
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WWW
2007
ACM
14 years 5 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng
CIKM
2009
Springer
13 years 11 months ago
An analysis of information diffusion in the blog world
In the blog world, bloggers produce information, establish relationships with other bloggers in order to exchange information, and form a blog network, an online social network. I...
Yong-Suk Kwon, Sang-Wook Kim, Sunju Park
GECCO
2008
Springer
250views Optimization» more  GECCO 2008»
13 years 6 months ago
Community detection in social networks with genetic algorithms
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
Clara Pizzuti
DATAMINE
2010
175views more  DATAMINE 2010»
13 years 5 months ago
Extracting influential nodes on a social network for information diffusion
We address the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models...
Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiro...
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
13 years 11 months ago
Cheating for problem solving: a genetic algorithm with social interactions
We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary...
Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin