Community discovery has drawn significant research interests among researchers from
many disciplines for its increasing application in multiple, disparate areas, including …

The Web offers rich relational data with different semantics. In this paper, we address the
problem of document recommendation in a digital library, where the documents in question …

This article studies the problem of latent community topic analysis in text-associated graphs.
With the development of social media, a lot of user-generated content is available with user …

Identifying and extracting user communities is an important step towards understanding
social network dynamics from a macro perspective. For this reason, the work in this paper …

Data sets originating from many different real world domains can be represented in the form
of interaction networks in a very natural, concise and meaningful fashion. This is particularly …

A multimode network consists of heterogeneous types of actors with various interactions
occurring between them. Identifying communities in a multimode network can help …

In recent years, informal, online communication has transformed the ways in which we
connect and collaborate with friends and colleagues. With millions of individuals …

Photo enhancement refers to the process of increasing the aesthetic appeal of a photo, such
as changing the photo aspect ratio and spatial recomposition. It is a widely used technique …

We propose a method for discovering the dependency relationships between the topics of
documents shared in social networks using the latent social interactions, attempting to …

Recently, social networking sites are offering a rich resource of heterogeneous data. The
analysis of such data can lead to the discovery of unknown information and relations in …