Results 221 to 230 of about 557,147 (262)
Community detection in the human connectome: Method types, differences and their impact on inference. [PDF]
Hum Brain MappBrooks SJ +8 more
europepmc +1 more source
Simple-based Dynamic Decentralized Community Detection Algorithm in socially aware networks. [PDF]
HeliyonXiong Z +6 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Community Detection with Fuzzy Community Structure
2011 International Conference on Advances in Social Networks Analysis and Mining, 2011In order to find a cover which allows nodes to be shared among several communities, we propose a simple fuzzy community detection algorithm, which is based on an existing partition detection technique. For the performance of overlapping nodes that makes the partition ambiguous, a new extended modularity is introduced to qualify covers.
Wang, Qinna, Fleury, Eric
openaire +2 more sources
Enterprise Community Detection
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 2017Employees in companies can be divided into different social communities, and those who frequently socialize with each other are treated as close friends and will be grouped in the same community. In the enterprise context, a large amount of information about the employees is available in both (1) offline company internal sources and (2) online ...
Jiawei Zhang 0001 +2 more
openaire +1 more source
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
Real-world networks are often cluttered and hard to organize. Recent studies show that most networks have the community structure, i.e., nodes with similar attributes form a certain community, which enables people to better understand the constitution of the networks.
Xuanyu Cao, Yan Chen 0007, K. J. Ray Liu
openaire +1 more source
Real-world networks are often cluttered and hard to organize. Recent studies show that most networks have the community structure, i.e., nodes with similar attributes form a certain community, which enables people to better understand the constitution of the networks.
Xuanyu Cao, Yan Chen 0007, K. J. Ray Liu
openaire +1 more source
2013
We propose an algorithm for the detection of communities in networks. The algorithm exploits degree and clustering coefficient of vertices as these metrics characterize dense connections, which, we hypothesize, are indicative of communities. Each vertex, independently, seeks the community to which it belongs by visiting its neighbour vertices and ...
Yi Song 0005, Stéphane Bressan
openaire +1 more source
We propose an algorithm for the detection of communities in networks. The algorithm exploits degree and clustering coefficient of vertices as these metrics characterize dense connections, which, we hypothesize, are indicative of communities. Each vertex, independently, seeks the community to which it belongs by visiting its neighbour vertices and ...
Yi Song 0005, Stéphane Bressan
openaire +1 more source
2023
Abstract We critically review the application of community detection in archaeology, as well as its potential to be developed on archaeological big data. The challenges in applying community detection algorithms are presented with a reference case study from the Balkans.
Jelena Grujić, Miljana Radivojević
openaire +1 more source
Abstract We critically review the application of community detection in archaeology, as well as its potential to be developed on archaeological big data. The challenges in applying community detection algorithms are presented with a reference case study from the Balkans.
Jelena Grujić, Miljana Radivojević
openaire +1 more source
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, 2004
Providing knowledge workers with access to experts and communities-of-practice is central to sharing expertise and crucial to organizational performance, adaptation, and even survival. This paper covers ongoing research to develop an Expert Locator prototype, a model-based system for detecting experts and broader communities-of-practice. The underlying
openaire +1 more source
Providing knowledge workers with access to experts and communities-of-practice is central to sharing expertise and crucial to organizational performance, adaptation, and even survival. This paper covers ongoing research to develop an Expert Locator prototype, a model-based system for detecting experts and broader communities-of-practice. The underlying
openaire +1 more source