Results 31 to 40 of about 1,660,780 (281)

Network Community Detection on Metric Space

Algorithms, 2015
Community detection in a complex network is an important problem of much interest in recent years. In general, a community detection algorithm chooses an objective function and captures the communities of the network by optimizing the objective function,
Suman Saha, Satya P. Ghrera
doaj   +1 more source

Spectral Clustering Community Detection Algorithm Based on Point-Wise Mutual Information Graph Kernel

Entropy, 2023
To address the problem that traditional spectral clustering algorithms cannot obtain the complete structural information of networks, this paper proposes a spectral clustering community detection algorithm, PMIK-SC, based on the point-wise mutual ...
Yinan Chen, Wenbin Ye, Dong Li
doaj   +1 more source

Distributed Community Detection in Dynamic Graphs [PDF]

, 2013
Inspired by the increasing interest in self-organizing social opportunistic networks, we investigate the problem of distributed detection of unknown communities in dynamic random graphs.
A. Chaintreau, A. Condon, A.E. Clementi, G. Cordasco, H. Baumann, J. Whitbeck, K. Kothapalli, M. Dyer, M. Girvan, P.W. Holland, S. Boccaletti, T.N. Bui, X. Liu   +12 more
core   +2 more sources

Post-Processing Partitions to Identify Domains of Modularity Optimization

Algorithms, 2017
We introduce the Convex Hull of Admissible Modularity Partitions (CHAMP) algorithm to prune and prioritize different network community structures identified across multiple runs of possibly various computational heuristics.
William H. Weir, Scott Emmons, Ryan Gibson, Dane Taylor, Peter J. Mucha   +4 more
doaj   +1 more source

Put three and three together: Triangle-driven community detection [PDF]

, 2016
Community detection has arisen as one of the most relevant topics in the field of graph data mining due to its applications in many fields such as biology, social networks, or network traffic analysis.
Brunat Blay, Josep Maria, Domínguez Sal, David, Larriba Pey, Josep, Prat Pérez, Arnau   +3 more
core   +2 more sources

Sociolect-based community detection [PDF]

2013 IEEE International Conference on Intelligence and Security Informatics, 2013
'Sociolects' are specialized vocabularies used by social subgroups defined by common interests or origins. We applied methods to retrieve large quantities of Twitter data based on expert-identified sociolects and then applied and developed network-analysis methods to relate sociolect use to network (sub-) structure. We show that novel methods including
Reynolds, William N., Salter, William J., Farber, Robert M., Corley, Courtney, Dowling, Chase P., Beeman, William O., Smith-Lovin, Lynn, Choi, Joon Nak   +7 more
openaire   +1 more source

Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis

Computers, 2023
The rapid dissemination of misinformation on social networks, particularly during public health crises like the COVID-19 pandemic, has become a significant concern.
Zafer Duzen, Mirela Riveni, Mehmet S. Aktas   +2 more
doaj   +1 more source

A similarity-based community detection method with multiple prototype representation [PDF]

, 2015
Communities are of great importance for understanding graph structures in social networks. Some existing community detection algorithms use a single prototype to represent each group.
Martin, Arnaud, Pan, Quan, Zhou, Kuang
core   +4 more sources

Co-Community Network Analysis Reveals Alterations in Brain Networks in Alzheimer’s Disease

Brain Sciences
Background: Alzheimer’s disease (AD) is a common neurodegenerative disease. Functional magnetic resonance imaging (fMRI) can be used to measure the temporal correlation of blood-oxygen-level-dependent (BOLD) signals in the brain to assess the brain’s ...
Xiaodong Wang, Zhaokai Zhang, Lingli Deng, Jiyang Dong   +3 more
doaj   +1 more source

Learner2Vec-Based Learner Community Evolution Analysis–A Case Study Involving Student Card Data

IEEE Access, 2019
The learner community evolution analysis is an important technique in the area of social network analysis and education management. Accurately expressing the complex characteristics of individual social behavior is the core problem associated with ...
Chao Li, Lei Zhao, Qingtian Zeng, Hua Duan, Zhongying Zhao   +4 more
doaj   +1 more source