Community detection is a popular yet thorny issue in social network analysis. A symmetric
and nonnegative matrix factorization (SNMF) model based on a nonnegative multiplicative …

The social media podium offers a communal perspective platform for web marketing,
advertisement, political campaign, etc. It structures like-minded end-users over the explicit …

This paper treats a blind detection problem to identify the central nodes in a graph from
filtered graph signals. Unlike prior works which impose strong restrictions on the data model …

This paper considers community inference methods for finding communities on a graph. We
treat the setting where the edges are not fully observed. Instead, inference is based on …

In this work we introduce the notion of the weighted graph associated with a fuzzy measure.
Having a finite set of elements between which there exists an affinity fuzzy relation, we …

Joint network topology inference represents a canonical problem of jointly learning multiple
graph Laplacian matrices from heterogeneous graph signals. In such a problem, a widely …

This paper considers blind methods for centrality estimation from graph signals. We model
graph signals as the outcome of an unknown low-pass graph filter excited with influences …

社团是社交网络的重要特征, 社团检测技术的发展给网络用户带来隐私泄露的危险.
如何保护敏感的社团信息不被泄露, 保障用户与社团安全已经成为网络安全领域的研究热点 …

Community structure over social media (SM) is the collaborative group of globally spread
users with identical characteristics and ideologies. The collective features of SM are inherent …

This paper proposes a mixture model of low pass filtered graph signals. Our aim is to jointly
estimate the eigen-centrality vectors for the underlying graphs and identify the graph signal …