network-modeling

Statistical Models for Social Networks: Inference and Degeneracy

This is a paper in the 'Dynamic Social Network Modeling and Analysis', edited by R. Breiger, K. Carley, and P. Pattison. It is the result of the Committee on Human Factors, Board on Behavioral, Cognitive, and Sensory Sciences. National Academy Press: …

Latent Space Approaches to Social Network Analysis

Network models are widely used to represent relational information among interacting units. In studies of social networks, recent emphasis has been placed on random graph models where the nodes usually represent individual social actors and the edges …

An Assessment of Preferential Attachment as a Mechanism for Human Sexual Network Formation

Recent research into the properties of human sexual contact networks has suggested that the degree distribution of the contact graph exhibits power-law scaling. One notable property of this power-law scaling is that for a range of scaling exponents, …

Statistical Methods for Ecological Assessment Of Riverine Systems By Combining Information From Multiple Sources

The assessment of environmental risk and the evaluation of environmental policies increasingly require accurate and relevant information about the environment. For policy makers and stakeholders to evaluate possible policy changes, an understanding …

Degeneracy and Inference for Social Network Models

The primary objective of this paper is to describe some recent advances in the modeling of random graphs that have an impact on the representation of sexual and drug use networks. We also investigate issues related to the estimation of random graph …

Statistical Evidence Tells Tails of Human Sexual Contacts

There has been a growing interest in the application of social network theory to the epidemiology of sexually-transmitted diseases (STD). This interest arises from recognition that STDs are transmitted through binary contacts and, consequently, …