Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Javier Ureña-Carrion"'
Autor:
Javier Ureña-Carrion, Petri Leskinen, Jouni Tuominen, Charles van den Heuvel, Eero Hyvönen, Mikko Kivelä
Publikováno v:
Applied Network Science, Vol 7, Iss 1, Pp 1-16 (2022)
Abstract Huge advances in understanding patterns of human communication, and the underlying social networks where it takes place, have been made recently using massive automatically recorded data sets from digital communication, such as emails and ph
Externí odkaz:
https://doaj.org/article/6e0b8388ed96475e893da02c530d2790
Publikováno v:
EPJ Data Science, Vol 9, Iss 1, Pp 1-20 (2020)
Abstract Even though the concept of tie strength is central in social network analysis, it is difficult to quantify how strong social ties are. One typical way of estimating tie strength in data-driven studies has been to simply count the total numbe
Externí odkaz:
https://doaj.org/article/e441bf55caf642a7b013dcee750260c6
Autor:
Ureña-Carrion, Javier, Leskinen, Petri, Tuominen, Jouni, van den Heuvel, Charles, Hyvönen, Eero, Kivelä, Mikko
Publikováno v:
Applied Network Science; 5/10/2022, Vol. 7 Issue 1, p1-16, 16p
Publikováno v:
EPJ Data Science; 12/14/2020, Vol. 9 Issue 1, p1-20, 20p
This book aims to gather the insight of leading experts on corruption and anti-corruption studies working at the scientific frontier of this phenomenon using the multidisciplinary tools of data and network science, in order to present current theoret
