5 citations · 12 across the 11 of their papers we have counts for
13 papers
Preferential Attachment with Reciprocity: Properties and Estimation
Daniel Cirkovic, Tiandong Wang, Sidney Resnick
Reciprocity in social networks helps understand information exchange between two individuals, and indicates interaction patterns between pairs of users. A recent study indicates th…
An Efficient Algorithm for Generating Directed Networks with Predetermined Assortativity Measures
Tiandong Wang, Jun Yan, Yelie Yuan +1
Assortativity coefficients are important metrics to analyze both directed and undirected networks. In general, it is not guaranteed that the fitted model will always agree with the…
Asymptotic Dependence of In- and Out-Degrees in a Preferential Attachment Model with Reciprocity
Tiandong Wang, Sidney I. Resnick
Reciprocity characterizes the information exchange between users in a network, and some empirical studies have revealed that social networks have a high proportion of reciprocal ed…
Asymptotic Behavior of Common Connections in Sparse Random Networks
Bikramjit Das, Tiandong Wang, Gengling Dai
Random network models generated using sparse exchangeable graphs have provided a mechanism to study a wide variety of complex real-life networks. In particular, these models help w…
PageRank centrality and algorithms for weighted, directed networks with applications to World Input-Output Tables
Panpan Zhang, Tiandong Wang, Jun Yan
PageRank (PR) is a fundamental tool for assessing the relative importance of the nodes in a network. In this paper, we propose a measure, weighted PageRank (WPR), extended from the…
Measuring Reciprocity in a Directed Preferential Attachment Network
Tiandong Wang, Sidney Resnick
Empirical studies show that online social networks have not only in- and out-degree distributions with Pareto-like tails but also a high proportion of reciprocal edges. A classical…