Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Gergely Tibély"'
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 4, p e1010048 (2022)
Tumors often harbor orders of magnitude more mutations than healthy tissues. The increased number of mutations may be due to an elevated mutation rate or frequent cell death and correspondingly rapid cell turnover, or a combination of the two. It is
Externí odkaz:
https://doaj.org/article/336401b7b3fd457abc75277995ed663c
Publikováno v:
PLoS ONE, Vol 11, Iss 11, p e0165728 (2016)
Hierarchical organization is prevalent in networks representing a wide range of systems in nature and society. An important example is given by the tag hierarchies extracted from large on-line data repositories such as scientific publication archives
Externí odkaz:
https://doaj.org/article/d0b770ea613f462d9c34ebe7c34c6ca9
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e84133 (2013)
Tagging items with descriptive annotations or keywords is a very natural way to compress and highlight information about the properties of the given entity. Over the years several methods have been proposed for extracting a hierarchy between the tags
Externí odkaz:
https://doaj.org/article/b4828d0804a941fbaacff47b8e2253a1
Publikováno v:
PLoS ONE, Vol 11, Iss 11, p e0165728 (2016)
PLoS ONE
PLoS ONE
Hierarchical organization is prevalent in networks representing a wide range of systems in nature and society. An important example is given by the tag hierarchies extracted from large on-line data repositories such as scientific publication archives
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8facd68ebf250816665ac914b1b962c
http://europepmc.org/articles/PMC5089747?pdf=render
http://europepmc.org/articles/PMC5089747?pdf=render
Publikováno v:
Fractals. 14:101-110
Hierarchically modular systems show a sequence of scale separations in some functionality or property in addition to their hierarchical topology. Starting from regular, deterministic objects like the Vicsek snowflake or the deterministic scale free n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10a478bdb9fabc020042904e2f60a05e
https://doi.org/10.1142/s0218348x06003143
https://doi.org/10.1142/s0218348x06003143
Publikováno v:
New Journal of Physics
Due to the increasing popularity of collaborative tagging systems, the research on tagged networks, hypergraphs, ontologies, folksonomies and other related concepts is becoming an important interdisciplinary topic with great actuality and relevance f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e104cd3b1b43dbadf8a999f4bbc53b57
Publikováno v:
Physical Review E. 83
Community detection methods have so far been tested mostly on small empirical networks and on synthetic benchmarks. Much less is known about their performance on large real-world networks, which nonetheless are a significant target for application. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e43e5db6718271de55c0c77839b44ddd
https://doi.org/10.1103/physreve.83.056125
https://doi.org/10.1103/physreve.83.056125
Autor:
Gergely Tibély
Community detection is one of the most investigated problems in the field of complex networks. Although several methods were proposed, there is still no precise definition of communities. As a step towards a definition, I highlight two necessary prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e23bdcb8e6ff554143d500d28feb697e
http://arxiv.org/abs/1103.3397
http://arxiv.org/abs/1103.3397
Autor:
Gergely Tibély, János Kertész
We show that the recently introduced label propagation method for detecting communities in complex networks is equivalent to find the local minima of a simple Potts model. Applying to empirical data, the number of such local minima was found to be ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54bbbfa1c3075507eb65236955fa09f6
We investigate how in complex systems the eigenpairs of the matrices derived from the correlations of multichannel observations reflect the cluster structure of the underlying networks. For this we use daily return data from the NYSE and focus specif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d2e50d9055bc971b04b83a8621a8523
http://arxiv.org/abs/0708.1862
http://arxiv.org/abs/0708.1862