Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Lovro Šubelj"'
Autor:
Milan Jović, Lovro Šubelj, Tea Golob, Matej Makarovič, Taha Yasseri, Danijela Boberić Krstićev, Srdjan Škrbić, Zoran Levnajić
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Terrorist attacks not only harm citizens but also shift their attention, which has long-lasting impacts on public opinion and government policies. Yet measuring the changes in public attention beyond media coverage has been methodologically
Externí odkaz:
https://doaj.org/article/8ee85c82b55741a8867bcd42618c8624
Autor:
Vincent A. Traag, Lovro Šubelj
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Many networks exhibit some community structure. There exists a wide variety of approaches to detect communities in networks, each offering different interpretations and associated algorithms. For large networks, there is the additional requi
Externí odkaz:
https://doaj.org/article/ed282907f99d4ec0b0f3efe7d8794935
Publikováno v:
Royal Society Open Science, Vol 7, Iss 9 (2020)
Externí odkaz:
https://doaj.org/article/126e8899cac940b29609c07fa46d0eb3
Publikováno v:
Royal Society Open Science, Vol 7, Iss 1 (2020)
Citation networks of scientific publications offer fundamental insights into the structure and development of scientific knowledge. We propose a new measure, called intermediacy, for tracing the historical development of scientific knowledge. Given t
Externí odkaz:
https://doaj.org/article/5a58b8b754b54933af67296dbc3b0da6
Autor:
Luka Naglić, Lovro Šubelj
Publikováno v:
PLoS ONE, Vol 14, Iss 10, p e0223480 (2019)
Many real systems can be described by a set of interacting entities forming a complex network. To some surprise, these have been shown to share a number of structural properties regardless of their type or origin. It is thus of vital importance to de
Externí odkaz:
https://doaj.org/article/d3de08f80e694de49350c788423a0d96
Publikováno v:
PLoS ONE, Vol 11, Iss 4, p e0154404 (2016)
Clustering methods are applied regularly in the bibliometric literature to identify research areas or scientific fields. These methods are for instance used to group publications into clusters based on their relations in a citation network. In the ne
Externí odkaz:
https://doaj.org/article/5ec01fb9ac3b4303ba98c6a38ad2fa93
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0127390 (2015)
Science is a social process with far-reaching impact on our modern society. In recent years, for the first time we are able to scientifically study the science itself. This is enabled by massive amounts of data on scientific publications that is incr
Externí odkaz:
https://doaj.org/article/4f60e21ee3064f3cbd571d206b33726e
Publikováno v:
PLoS ONE, Vol 9, Iss 6, p e100101 (2014)
Coreference resolution tries to identify all expressions (called mentions) in observed text that refer to the same entity. Beside entity extraction and relation extraction, it represents one of the three complementary tasks in Information Extraction.
Externí odkaz:
https://doaj.org/article/a91164fb3295416f83e05b415bff07ec
Autor:
Vincent A. Traag, Lovro Šubelj
Many networks exhibit some community structure. There exists a wide variety of approaches to detect communities in networks, each offering different interpretations and associated algorithms. For large networks, there is the additional requirement of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e838a9b4a5fefd27f601bdb688ba022d
Publikováno v:
Uporabna informatika. 28
The Eurovision Song Contest is a popular annual international song competition organized by the European Broadcasting Union. The winner is decided by the audience and expert juries from each participating nation, which is why the analysis of its voti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b37034cf601343556718831323ce36e4
https://doi.org/10.31449/upinf.vol28.num2.85
https://doi.org/10.31449/upinf.vol28.num2.85