Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Liav Bachar"'
Publikováno v:
Entropy, Vol 25, Iss 8, p 1115 (2023)
Developing a tailor-made centrality measure for a given task requires domain- and network-analysis expertise, as well as time and effort. Thus, automatically learning arbitrary centrality measures for providing ground-truth node scores is an importan
Externí odkaz:
https://doaj.org/article/8e6c932d5b6041aa9cdfe3638b4f8ebb
Publikováno v:
Complex Networks & Their Applications X ISBN: 9783030934088
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71b1568bb5f85e8745991280cd0607ab
https://doi.org/10.1007/978-3-030-93409-5_21
https://doi.org/10.1007/978-3-030-93409-5_21
Autor:
Li, Xin1 (AUTHOR) lx@post.bgu.ac.il, Bachar, Liav2 (AUTHOR) liavba@post.bgu.ac.il, Puzis, Rami2 (AUTHOR) puzis@bgu.ac.il
Publikováno v:
Entropy. Aug2023, Vol. 25 Issue 8, p1115. 20p.
Autor:
Rosa Maria Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis M. Rocha, Marta Sales-Pardo
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed