MODELING SOCIAL NETWORKS FROM SAMPLED DATA.

ABSTRACT: Network models are widely used to represent relational information among interacting units and the structural implications of these relations. Recently, social network studies have focused a great deal of attention on random graph models of networks whose nodes represent individual social actors and whose edges represent a specified relationship between the actors. Most inference for social network models assumes that the presence or absence of all possible links is observed, that the information is completely reliable, and that there are no measurement (e.g., recording) errors. This is clearly not true in practice, as much network data is collected though sample surveys. In addition even if a census of a population is attempted, individuals and links between individuals are missed (i.e.,

SUBMITTER: Handcock MS 

PROVIDER: S-EPMC4637981 | biostudies-literature | 2010

REPOSITORIES: biostudies-literature