Finding dense bipartite subgraphs and detecting the relations among them is an important
problem for affiliation networks that arise in a range of domains, such as social network …

We uncover the global organization of clustering in real complex networks. To this end, we
ask whether triangles in real networks organize as in maximally random graphs with given …

The analysis of real-world complex networks has been the focus of recent research.
Detecting communities helps in uncovering their structural and functional organization …

Community search is a problem of finding densely connected subgraphs that satisfy the
query conditions in a network, which has attracted much attention in recent years. However …

Internet topology research is often done at the autonomous system level because of its
highest level of granularity and the availability of several public datasets. The purpose of this …

As the Internet autonomous system (AS)-level topology grows over time, some of its
structural properties remain unchanged. Such time-invariant properties are generally …

We study the structure and evolution of the Internet's Autonomous System (AS)
interconnection topology as a game with heterogeneous players. In this network formation …

The topology of a network (connectivity of autonomous systems (ASes) or routers) has
significant implications on the design of protocols and applications, and on the placement of …

We establish a network formation game for the Internet's Autonomous System (AS)
interconnection topology. The game includes different types of players, accounting for the …

Social decisions made by individuals are easily influenced by information from their social
neighborhoods. A key predictor of social contagion is the multiplicity of social contexts inside …