Sensibly highlighting the hidden structures of many real-world networks has attracted
growing interest and triggered a vast array of techniques on what is called nowadays …

The ability to identify and characterize not only the protein-protein interactions but also their
internal modular organization through network analysis is fundamental for understanding …

Over the past couple of decades, the research area of network community detection has
seen substantial growth in popularity, leading to a wide range of researches in the literature …

The detection of protein complexes is an essential NP-hard problem in protein-protein
interaction networks (PPI). Modularity, community score, ratio cut, and internal density are …

Detecting complexes in protein interaction networks is one of the most important topics of
current computational biology research due to its prominent role in predicting functions of yet …

Computational biology research faces a formidable challenge in the detection of complexes
within protein-protein interaction (PPI) networks, critical for unraveling cellular processes …

Assessing a community detection algorithm is a difficult task due to the absence of finding a
standard definition for objective functions to accurately identify the structure of communities …

Community detection in presence of both positive and negative interactions in signed
community structures has recently enjoyed a large increase in interest. The general …

Community detection is useful for better understanding of the structure of complex networks,
and aids in the extraction of required information from such networks. Community detection …

With the rapid development of next-generation sequencing and high-throughput
technologies, much biological data have been generated. The analysis of biological …