Abstract. We consider variations of two well-known centrality measures, betweenness and closeness, with a different model of information spread. Rather than along shortest paths o...
In this paper we present a multi-grained parallel algorithm for computing betweenness centrality, which is extensively used in large-scale network analysis. Our method is based on ...
Given a set of demands between pairs of nodes, we examine the traffic engineering problem of flow routing and fair bandwidth allocation where flows can be split to multiple paths ...
In a large-scale backbone networks, the traffic monitoring system needs to receive a large volume of flow records, so if a single central collecting process is used, it might not b...
This paper discusses fast parallel algorithms for evaluating several centrality indices frequently used in complex network analysis. These algorithms have been optimized to exploi...