Community detection technologies have the general research significance in complex
networks, in which the topology information of network is worthy to be the focus for its widely …

Traditional techniques for identifying disease genes and disease modules involve high-cost
clinical experiments and unpredictable time consumption for analysis. Network-based …

Identification of patronized communities in a complex network structure is an essential
aspect of network analysis. These identifications really become challenging when we come …

Protein Function Module (PFM) identification in Protein-Protein Interaction Networks (PPINs)
is one of the most important and challenging tasks in computational biology. The quick and …

Background Phenotypic plasticity is a common and highly adaptive phenomenon where the
same genotype produces different phenotypes in response to environmental cues. Sogatella …

The functional interaction structure of a team captures the preferences with which members
of different roles interact. This paper presents a data-driven approach to detect the functional …

With the rapid development of computer technology, the research on complex networks has
attracted more and more attention. At present, the research directions of cloud computing …

Abstract The Influence Maximization problem (IMP) is a fundamental algorithmic challenge
that involves selecting a set of k users, known as the seed set, from a social media network …

Several Event Detection (ED) applications utilize various wrapper Feature Selection (FS)
techniques based on wrap** the Markov Clustering Algorithm (MCL) with the Binary Bat …

Wireless sensor networks (WSNs) have attracted increasing attention during the two last
decades. Indeed, their applications target a wide range of fields such as healthcare …