Showing papers by "Katherine Faust published in 2007"
TL;DR: In this paper, the authors used data from multiple villages in Nang Rong, Thailand, and found that network structure covaries with context in meaningful ways, suggesting reciprocal effects of changes in both.
Abstract: A core axiom of sociology is that social structure affects and is affected by human behavior. The term “social structure” conveys two quite different meanings. One meaning is relational, involving networks of ties between individuals or groups of individuals. A second meaning refers to the contexts containing these individuals. Studies of neighborhood and community effects depend on variability in both types of social structure. Using data from multiple villages in Nang Rong, Thailand, this article documents substantial variability in network structure and shows that network structure covaries with context in meaningful ways, suggesting reciprocal effects of changes in both. Finally, it considers implications of variability in network structure, showing that social cohesion affects the likelihood of finding and interviewing former village residents.
201 citations
TL;DR: Results show that triadic structure is largely accounted for by properties more local than triads: network density, nodal indegree and outdegree distributions, and the dyad census, reinforcing the observation that structural configurations that can be realized in empirical social networks are severely constrained by very local network properties.
Abstract: Triadic configurations are fundamental to many social structural processes and provide the basis for a variety of social network theories and methodologies. This paper addresses the question of how much of the patterning of triads is accounted for by lower-order properties pertaining to nodes and dyads. The empirical base is a collection of 82 social networks representing a number of different species (humans, baboons, macaques, bison, cattle, goats, sparrows, caribou, and more) and an assortment of social relations (friendship, negative sentiments, choice of work partners, advice seeking, reported social interactions, victories in agonistic encounters, dominance, and co-observation). Methodology uses low dimensional representations of triad censuses for these social networks, as compared to censuses expected given four lower-order social network properties. Results show that triadic structure is largely accounted for by properties more local than triads: network density, nodal indegree and outdegree dist...
102 citations
TL;DR: Leslie et al. as mentioned in this paper showed that the Markov chain Monte Carlo sampling scheme that was used results in extremely slow mixing, requiring 2 million iterations with only every 1000th iteration being used.
Abstract: I congratulate the authors for their interesting paper. However, it seems that the Markov chain Monte Carlo sampling scheme that was used results in extremely slow mixing, requiring 2 million iterations with only every 1000th iteration being used. One aspect of this slow mixing relates to a problem that was encountered by Leslie et al. (2006).
6 citations