Jul 26, 2014 · We use the concept of Shannon entropy to measure a network's information and then consider the process of detecting communities as a process of ...
We use the concept of Shannon entropy to measure a network's information and then consider the process of detecting communities as a process of information loss ...
Community structure is one of the important properties of social networks in general and in particular the citation networks in the field of scientometrics.
Jul 26, 2014 · We use the concept of Shannon entropy to measure a network's information and then consider the process of detecting communities as a process of ...
Based on this idea, we develop an optimal model to depict the process of detecting communities and further introduce the principle of dynamic programming to ...
We use the concept of Shannon entropy to measure a network's information and then consider the process of detecting communities as a process of information loss ...
Nov 29, 2024 · Reports from University of Siena Add New Data to Findings in General Science (An entropy-based social network community detecting method and ...
In this paper we propose a new method which uses the semantic information along with the network structure in the community detection process. Thus, our ...
Missing: scientometrics. | Show results with:scientometrics.
Hence, the proposed approach Entropy based Overlapping community detection (EOCD) finds communities that are having low network entropy. EOCD is tested on both ...
Entropy based community detection in augmented social networks
www.academia.edu › Entropy_based_co...
In this paper we propose a new method which uses the semantic information along with the network structure in the community detection process. Thus, our ...
Missing: scientometrics. | Show results with:scientometrics.