In this paper, we research the community deception problem. Tackling this problem consists
in developing techniques to hide a target community (C) from community detection …

Motivation Biological networks topology yields important insights into biological function,
occurrence of diseases and drug design. In the last few years, different types of topological …

We present here a compact overview of the data, models and methods proposed for the
analysis of biological networks based on the search for significant repetitions. In particular …

The COVID-19 pandemic has caused millions of deaths and remains a major public health
burden worldwide. Previous studies found that a large number of COVID-19 patients and …

Among the tasks to be carried out by conference organizers is the one of assigning
reviewers to papers. That problem is known in the literature as the Conference Paper …

Community detection algorithms that analyze networks to identify communities of nodes are
an essential part of the network analysis toolkit used daily by different analysts (eg, data …

Background Huge amounts of molecular interaction data are continuously produced and
stored in public databases. Although many bioinformatics tools have been proposed in the …

Protein–protein interaction networks have been broadly studied in the last few years, in
order to understand the behavior of proteins inside the cell. Proteins interacting with each …

This paper studies a graph entropy measure to characterize the structural complexity of
directed networks. Since the von Neumann entropy (VNE) has found applications in many …

Community deception tackles the following problem: given a target community CC inside a
network GG and a budget of updates β β (eg, edge removal and additions), what is the best …