We give algorithms for finding graph clusters and drawing graphs, highlighting local community structure within the context of a larger network. For a given graph G, we use the per...
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...
In this paper, we attempt to improve the effectiveness and the efficiency of query-dependent link-based ranking algorithms such as HITS, MAX and SALSA. All these ranking algorith...
Efficient computing the PageRank scores for a large web graph is actually one of the hot issues in Web-IR community. Recent researches propose to accelerate the computation, both ...
Abstract. This paper describes a technique for reducing the querytime cost of HITS-like ranking algorithm. The basic idea is to compute for each node in the web graph a summary of ...