Ties often have a strength naturally associated with them that differentiate them from each other. Tie strength has been operationalized as weights. A few network measures have been proposed for weighted networks, including three common measures of node centrality: degree, closeness, and between-ness. However, these generalizations have solely focused on… (More)
In recent years, researchers have investigated a growing number of weighted networks where ties are differentiated according to their strength or capacity. Yet, most network measures do not take weights into consideration, and thus do not fully capture the richness of the information contained in the data. In this paper, we focus on a measure originally… (More)
This research draws on longitudinal network data from an online community to examine patterns of users' behavior and social interaction, and infer the processes underpinning dynamics of system use. The online community represents a prototypical example of a complex evolving social network in which connections between users are established over time by… (More)
Uncovering the mechanisms that underpin the patterns and strength of interactions among the elements of networked systems helps enhance our understanding of the global organization , functioning, and performance of these systems. In the rich-club perspective, emphasis is placed on a select subset of nodes, namely the members of the club, with a view to… (More)
Building on existing stochastic actor-oriented models for panel data, we employ a conditional logistic framework to explore growth mechanisms for tie creation in continuously-observed networks. This framework models the likelihood of tie formation distinguishing it from hazard models that consider time to tie formation. It enables multiple growth mechanisms… (More)
Description R package for analyzing weighted, two-mode, and longitudinal networks.
This research draws on longitudinal network data from an online community to examine patterns of social interaction and infer the mechanisms shaping interpersonal dynamics. The online community represents a pro-totypical example of a complex evolving network in which connections between users are established over time by online messages. Results indicate… (More)