HIGHLIGHTS
- who: Vasily Lubashevskiy and colleagues from the Institute for International Strategy, Tokyo International University, Matoba-kita, Kawagoe, Saitama, Japan have published the article: Improved Link Entropy with Dynamic Community Number Detection for Quantifying Significance of Edges in Complex Social Networks, in the Journal: Entropy 2023, 25, 365. of /2023/
- what: The authors study the problem of quantifying the significance of edges in a complex network and propose a significantly version of the Entropy method. Running experiments on various benchmark networks the authors show that the proposed method outperforms the Entropy method in quantifying edge significance . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.