Peer influence groups: identifying dense clusters in large networks

@article{Moody2001PeerIG,
  title={Peer influence groups: identifying dense clusters in large networks},
  author={James Moody},
  journal={Social Networks},
  year={2001},
  volume={23},
  pages={261-283}
}
Sociologists have seen a dramatic increase in the size and availability of social network data. This represents a poverty of riches, however, since many of our analysis techniques cannot handle the resulting large (tens to hundreds of thousands of nodes) networks. In this paper, I provide a method for identifying dense regions within large networks based on a peer influence model. Using software familiar to most sociologists, the method reduces the network to a set of m position variables that… CONTINUE READING