Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hric, Darko"'
Autor:
Tan, Shawn Zheng Kai, Baksi, Shounak, Bjerregaard, Thomas Gade, Elangovan, Preethi, Gopalakrishnan, Thrishna Kuttikattu, Hric, Darko, Joumaa, Joffrey, Li, Beidi, Rabbani, Kashif, Venkatesan, Santhosh Kannan, Valdez, Joshua Daniel, Kuriakose, Saritha Vettikunnel
Biomedical data is growing exponentially, and managing it is increasingly challenging. While Findable, Accessible, Interoperable and Reusable (FAIR) data principles provide guidance, their adoption has proven difficult, especially in larger enterpris
Externí odkaz:
http://arxiv.org/abs/2405.05413
In this study we map out the large-scale structure of citation networks of science journals and follow their evolution in time by using stochastic block models (SBMs). The SBM fitting procedures are principled methods that can be used to find hierarc
Externí odkaz:
http://arxiv.org/abs/1705.00018
Autor:
Fortunato, Santo, Hric, Darko
Publikováno v:
Physics Reports 659, 1-44 (2016)
Community detection in networks is one of the most popular topics of modern network science. Communities, or clusters, are usually groups of vertices having higher probability of being connected to each other than to members of other groups, though o
Externí odkaz:
http://arxiv.org/abs/1608.00163
Publikováno v:
Phys. Rev. X 6, 031038 (2016)
The empirical validation of community detection methods is often based on available annotations on the nodes that serve as putative indicators of the large-scale network structure. Most often, the suitability of the annotations as topological descrip
Externí odkaz:
http://arxiv.org/abs/1604.00255
Publikováno v:
Phys. Rev. E 90, 062805 (2014)
Algorithms to find communities in networks rely just on structural information and search for cohesive subsets of nodes. On the other hand, most scholars implicitly or explicitly assume that structural communities represent groups of nodes with simil
Externí odkaz:
http://arxiv.org/abs/1406.0146
Publikováno v:
In Journal of Informetrics August 2018 12(3):757-783
