Community deception or: How to stop fearing community detection algorithms
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 …
in developing techniques to hide a target community (C) from community detection …
Topological ranks reveal functional knowledge encoded in biological networks: a comparative analysis
M Bonomo, R Giancarlo, D Greco… - Briefings in …, 2022 - academic.oup.com
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 …
occurrence of diseases and drug design. In the last few years, different types of topological …
Searching for repetitions in biological networks: methods, resources and tools
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 …
analysis of biological networks based on the search for significant repetitions. In particular …
A knowledge graph to analyze clinical patient data
M Bonomo, F Ippolito, S Morfea - European Conference on Advances in …, 2023 - Springer
Abstract Knowledge graphs may be successfully applied to represent different types of
relationships among different types of subjects. Here, we propose a Knowledge Graph …
relationships among different types of subjects. Here, we propose a Knowledge Graph …
A benchmark dataset for community deception algorithms
V Fionda - Social Network Analysis and Mining, 2024 - Springer
This paper introduces the Better Hide Communities (BHC) benchmark dataset aimed at
standardizing evaluations in community deception across networks. BHC addresses the …
standardizing evaluations in community deception across networks. BHC addresses the …
An evolutionary restricted neighborhood search clustering approach for PPI networks
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 …
order to understand the behavior of proteins inside the cell. Proteins interacting with each …
Biological network querying techniques: analysis and comparison
V Fionda, L Palopoli - Journal of Computational Biology, 2011 - liebertpub.com
Research in systems biology has made available large amounts of data about interactions
among cell building blocks (eg, proteins, genes). To properly look up these data and mine …
among cell building blocks (eg, proteins, genes). To properly look up these data and mine …
RESQUE: Network reduction using semi-Markov random walk scores for efficient querying of biological networks
SME Sahraeian, BJ Yoon - Bioinformatics, 2012 - academic.oup.com
Motivation: Recent technological advances in measuring molecular interactions have
resulted in an increasing number of large-scale biological networks. Translation of these …
resulted in an increasing number of large-scale biological networks. Translation of these …
Protein–Protein Interaction Network Analysis Using NetworkX
In recent years, extracting information from biological data has become a particularly
valuable way of gaining knowledge. Molecular interaction networks provide a framework for …
valuable way of gaining knowledge. Molecular interaction networks provide a framework for …
Better Hide Communities: Benchmarking Community Deception Algorithms
V Fionda - International Conference on Complex Networks and …, 2023 - Springer
This paper introduces the Better Hide Communities (BHC) benchmark dataset, purposefully
crafted for gauging the efficacy of current and prospective community deception algorithms …
crafted for gauging the efficacy of current and prospective community deception algorithms …