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» On the approximability of influence in social networks
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KDD
2004
ACM
137views Data Mining» more  KDD 2004»
14 years 2 months ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
WSDM
2012
ACM
254views Data Mining» more  WSDM 2012»
12 years 4 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...
SIGSOFT
2010
ACM
13 years 6 months ago
Social media for software engineering
Social media has changed the way that people collaborate and share information. In this paper, we highlight its impact for enabling new ways for software teams to form and work to...
Andrew Begel, Robert DeLine, Thomas Zimmermann
GROUP
2010
ACM
13 years 6 months ago
The effects of group composition on decision quality in a social production community
Online social production communities allow efficient construction of valuable and high-quality information sources. To be successful, community members must be effective at collab...
Shyong K. Lam, Jawed Karim, John Riedl
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 2 months ago
Using pair approximations to predict takeover dynamics in spatially structured populations
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...
Joshua L. Payne, Margaret J. Eppstein