Results 41 to 50 of about 1,660,780 (281)

CoDiS: Community Detection via Distributed Seed Set Expansion on Graph Streams

Information, 2023
Community detection has been (and remains) a very important topic in several fields. From marketing and social networking to biological studies, community detection plays a key role in advancing research in many different fields.
Austin Anderson, Petros Potikas, Katerina Potika   +2 more
doaj   +1 more source

Terminal-Set-Enhanced Community Detection in Social Networks

, 2016
Community detection aims to reveal the community structure in a social network, which is one of the fundamental problems. In this paper we investigate the community detection problem based on the concept of terminal set.
Cui, L., Du, D-Z., Liu, C., Tong, G., Wu, W.   +4 more
core   +1 more source

A generalised significance test for individual communities in networks [PDF]

, 2018
Many empirical networks have community structure, in which nodes are densely interconnected within each community (i.e., a group of nodes) and sparsely across different communities.
Kojaku, Sadamori, Masuda, Naoki
core   +3 more sources

Network-based prediction of anti-cancer drug combinations

Frontiers in Pharmacology
Drug combinations have emerged as a promising therapeutic approach in cancer treatment, aimed at overcoming drug resistance and improving the efficacy of monotherapy regimens.
Jue Jiang, Xuxu Wei, YuKang Lu, Simin Li, Xue Xu   +4 more
doaj   +1 more source

Relationship Between Surgeon’s Brain Functional Network Reconfiguration and Performance Level During Robot-Assisted Surgery

IEEE Access, 2018
The current methods of assessment of surgical performance for robot-assisted surgery are subjective. In this paper, we propose a cognitive-based method for objective evaluation of performance. Changes in brain functional networks were extracted and their
Somayeh B. Shafiei, Ahmed Aly Hussein, Khurshid A. Guru   +2 more
doaj   +1 more source

Uncovering the Online Social Structure Surrounding COVID-19

Journal of Social Computing, 2021
How do people talk about COVID-19 online? To address this question, we offer an unsupervised framework that allows us to examine Twitter framings of the pandemic.
Philip D. Waggoner, Robert Y. Shapiro, Samuel Frederick, Ming Gong   +3 more
doaj   +1 more source

Community Detection using a New Node Scoring and Synchronous Label Updating of Boundary Nodes in Social Networks [PDF]

Journal of Artificial Intelligence and Data Mining, 2020
Community structure is vital to discover the important structures and potential property of complex networks. In recent years, the increasing quality of local community detection approaches has become a hot spot in the study of complex network due to the
M. Zarezade, E. Nourani, Asgarali Bouyer
doaj   +1 more source

Different approaches to community detection

, 2017
A precise definition of what constitutes a community in networks has remained elusive. Consequently, network scientists have compared community detection algorithms on benchmark networks with a particular form of community structure and classified them ...
Aicher C., Browet A., Donath W. E., Fiedler M., Fiedler M.   +4 more
core   +1 more source

Detection of Epigenomic Network Community Oncomarkers [PDF]

, 2016
In this paper we propose network methodology to infer prognostic cancer biomarkers based on the epigenetic pattern DNA methylation. Epigenetic processes such as DNA methylation reflect environmental risk factors, and are increasingly recognised for their
Bartlett, Thomas E., Zaikin, Alexey
core   +2 more sources

A Filtered Gradient Descent Clustering Method to Recover Communities in Attributed Networks

IEEE Access
An attributed network is a network in which in addition to the network structure each node is associated with a set of attributes. Community detection in such networks involves recovering the clusters by simultaneously using the network data and the node
Soroosh Shalileh
doaj   +1 more source