Networks have become increasingly important to model complex systems composed of
interacting elements. Network data mining has a large number of applications in many …

The emergence of Location-based Social Network (LBSN) services provides a wonderful
opportunity to build personalized Point-of-Interest (POI) recommender systems. Although a …

The topological landscape of molecular or functional interaction networks provides a rich
source of information for inferring functional patterns of genes or proteins. However, a …

We propose new privacy attacks to infer attributes (eg, locations, occupations, and interests)
of online social network users. Our attacks leverage seemingly innocent user information …

In this paper, we show that large annotated data sets have great potential to provide strong
priors for saliency estimation rather than merely serving for benchmark evaluations. To this …

Social media anomaly detection is of critical importance to prevent malicious activities such
as bullying, terrorist attack planning, and fraud information dissemination. With the recent …

Modern world has witnessed a dramatic increase in our ability to collect, transmit and
distribute real-time monitoring and surveillance data from large-scale information systems …

Which song will Smith listen to next? Which restaurant will Alice go to tomorrow? Which
product will John click next? These applications have in common the prediction of user …

The location-based social networks (LBSN) enable users to check in their current location
and share it with other users. The accumulated check-in data can be employed for the …

Motivation: Analysis of co-expressed gene sets typically involves testing for enrichment of
different annotations or 'properties' such as biological processes, pathways, transcription …