With the impressive growth of available data and the flexibility of network modelling, the
problem of devising effective quantitative methods for the comparison of networks arises …

In this work, we study the collaboration patterns of open source software projects on GitHub
by analyzing the pull request submissions and acceptances of repositories. We develop a …

Data collected in criminal investigations may suffer from issues like:(i) incompleteness, due
to the covert nature of criminal organizations;(ii) incorrectness, caused by either …

Measures of complex network analysis, such as vertex centrality, have the potential to unveil
existing network patterns and behaviors. They contribute to the understanding of networks …

Revealing the fractal scaling laws of collective human mobility is benefit to understand the
complexity of collective human mobility behaviours and has broad application prospects …

The development of example-based design support tools, such as those used for design-by-
analogy, relies heavily on the computation of similarity between designs. Various vector-and …

Important data mining problems such as nearest-neighbor search and clustering admit
theoretical guarantees when restricted to objects embedded in a metric space. Graphs are …

The analysis of networks describing many social, economic, technological, biological and
other systems has attracted a lot of attention last decades. Since most of these complex …

To quantify the fundamental evolution of time-varying networks, and detect abnormal
behavior, one needs a notion of temporal difference that captures significant organizational …

Graph distance and graph embedding are two fundamental tasks in graph mining. For graph
distance, determining the structural dissimilarity between networks is an ill-defined problem …