Computer Science – Social and Information Networks
Scientific paper
2011-06-24
Computer Science
Social and Information Networks
15 pages, 7 figures, 7 tables
Scientific paper
Networks arising from social, technological and natural domains exhibit rich connectivity patterns and nodes in such networks are often labeled with attributes or features. We address the question of modeling the structure of networks where nodes have attribute information. We present a Multiplicative Attribute Graph (MAG) model that considers nodes with categorical attributes and models the probability of an edge as the product of individual attribute link formation affinities. We develop a scalable variational expectation maximization parameter estimation method. Experiments show that MAG model reliably captures network connectivity as well as provides insights into how different attributes shape the network structure.
Kim Myunghwan
Leskovec Jure
No associations
LandOfFree
Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-144343