Computing subgraph frequencies is a fundamental task that lies at the core of several
network analysis methodologies, such as network motifs and graphlet-based metrics, which …

Motifs are regarded as network blocks because motifs can be used to present fundamental
patterns in networks. Motif discovery is well applied in various scientific problems, including …

The ability to find and count subgraphs of a given network is an important non trivial task
with multidisciplinary applicability. Discovering network motifs or computing graphlet …

The identification of network motifs has important applications in numerous domains, such
as pattern detection in biological networks and graph analysis in digital circuits. However …

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 …

Network motif is a kind of frequently occurring subgraph that reflects local topology in
graphs. Although network motif has been studied in graph analytics, eg, social network and …

Graphlets are induced subgraphs of a large network and are important for understanding
and modeling complex networks. Despite their practical importance, graphlets have been …

Given a graph G, a motif (eg, 3-node clique) is a fundamental building block for G. Recently,
motif-based graph analysis has attracted much attention due to its efficacy in tasks such as …

Characterizing relationship patterns among organizations in project networks has become a
hot issue in the emerging field of project network management. Many researchers focus on …

Motifs have been recognized as basic network blocks and are found to be quite powerful in
modeling certain patterns. Generally speaking, local characteristics of big networks could be …