In the-omics era, bioinformatics technologies allowed the development of several
approaches useful to analyze biological systems. To provide a deep insight into a biological …

Networks are a fundamental tool for modeling complex systems in a variety of domains
including social and communication networks as well as biology and neuroscience. The …

Motifs are the fundamental components of complex systems. The topological structure of
networks representing complex systems and the frequency and distribution of motifs in these …

Community search is a fundamental graph mining task. Unfortunately, most previous
community search studies focus mainly on identifying communities in a network without …

In graph applications (eg, biological and social networks), various analytics tasks (eg,
clustering and community search) are carried out to extract insight from large and complex …

Pattern counting in graphs is fundamental to several network sci-ence tasks, and there is an
abundance of scalable methods for estimating counts of small patterns, often called motifs …

We study the discovery of cliques (or" complete" subgraphs) in heterogeneous information
networks (HINs). Existing clique-finding solutions often ignore the rich semantics of HINs …

We report on a large-scale empirical study investigating the relevance of socio-technical
congruence over key basic software quality metrics, namely, bugs and churn. In particular …

Group interactions arise in our daily lives (email communications, on-demand ride sharing,
and comment interactions on online communities, to name a few), and they together form …

Group interactions arise in our daily lives (email communications, on-demand ride sharing,
comment interactions on online communities, to name a few), and they together form …