809 citations · 1.3k across the 11 of their papers we have counts for
11 papers
Link Prediction with Node Clustering Coefficient
Zhihao Wu, Youfang Lin, Jing Wang +1
Predicting missing links in incomplete complex networks efficiently and accurately is still a challenging problem. The recently proposed CAR (Cannistrai-Alanis-Ravai) index shows t…
Efficient local behavioral change strategies to reduce the spread of epidemics in networks
Yilei Bu, Steve Gregory, Harriet L. Mills
It has recently become established that the spread of infectious diseases between humans is affected not only by the pathogen itself but also by changes in behavior as the populati…
Inferring High Quality Co-Travel Networks
Youfang Lin, Xuguang Jia, Mingjie Lin +3
Social networks provide a new perspective for enterprises to better understand their customers and have attracted substantial attention in industry. However, inferring high quality…
Identifying Communities and Key Vertices by Reconstructing Networks from Samples
Bowen Yan, Steve Gregory
Sampling techniques such as Respondent-Driven Sampling (RDS) are widely used in epidemiology to sample "hidden" populations, such that properties of the network can be deduced from…
Detecting Communities in Networks by Merging Cliques
Bowen Yan, Steve Gregory
Many algorithms have been proposed for detecting disjoint communities (relatively densely connected subgraphs) in networks. One popular technique is to optimize modularity, a measu…
Detecting community structure in networks using edge prediction methods
Bowen Yan, Steve Gregory
Community detection and edge prediction are both forms of link mining: they are concerned with discovering the relations between vertices in networks. Some of the vertex similarity…
Finding missing edges in networks based on their community structure
Bowen Yan, Steve Gregory
Many edge prediction methods have been proposed, based on various local or global properties of the structure of an incomplete network. Community structure is another significant f…
Finding missing edges and communities in incomplete networks
Bowen Yan, Steve Gregory
Many algorithms have been proposed for predicting missing edges in networks, but they do not usually take account of which edges are missing. We focus on networks which have missin…
Ordered community structure in networks
Steve Gregory
Community structure in networks is often a consequence of homophily, or assortative mixing, based on some attribute of the vertices. For example, researchers may be grouped into co…
Fuzzy overlapping communities in networks
Steve Gregory
Networks commonly exhibit a community structure, whereby groups of vertices are more densely connected to each other than to other vertices. Often these communities overlap, such t…
Finding overlapping communities in networks by label propagation
Steve Gregory
We propose an algorithm for finding overlapping community structure in very large networks. The algorithm is based on the label propagation technique of Raghavan, Albert, and Kumar…