Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Shohei Usui"'
Publikováno v:
Applied Network Science, Vol 7, Iss 1, Pp 1-23 (2022)
Abstract In complex networks, the role of a node is based on the aggregation of structural features and functions. However, in real networks, it has been observed that a single node can have multiple roles. Here, the roles of a node can be defined in
Externí odkaz:
https://doaj.org/article/71e560ccaa2741248581fe07667aff04
Autor:
Shumpei Kikuta, Fujio Toriumi, Mao Nishiguchi, Shu Liu, Tomoki Fukuma, Takanori Nishida, Shohei Usui
Publikováno v:
Applied Network Science, Vol 5, Iss 1, Pp 1-19 (2020)
Abstract Discovering the node roles in a network helps to solve diverse social problems. Role discovery attempts to predict the node roles from a network structure, and this method has been extensively studied in various fields. Role discovery using
Externí odkaz:
https://doaj.org/article/06b2896af99a4028b8c6fdac4c4f33c9
Publikováno v:
Complex Networks & Their Applications X ISBN: 9783030934125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efc535c81f626f9004ac151d944cc2ee
https://doi.org/10.1007/978-3-030-93413-2_35
https://doi.org/10.1007/978-3-030-93413-2_35
Autor:
Shu Liu, Tomoki Fukuma, Shumpei Kikuta, Fujio Toriumi, Takanori Nishida, Mao Nishiguchi, Shohei Usui
Publikováno v:
Applied Network Science, Vol 5, Iss 1, Pp 1-19 (2020)
Discovering the node roles in a network helps to solve diverse social problems. Role discovery attempts to predict the node roles from a network structure, and this method has been extensively studied in various fields. Role discovery using transfer
Publikováno v:
Complex Networks and Their Applications VIII ISBN: 9783030366865
COMPLEX NETWORKS (1)
COMPLEX NETWORKS (1)
Discovering the roles of nodes in a network is important for solving various social issues. Role discovery aims to infer nodes’ roles from a network structure, and it has received considerable attention recently. The conventional methods of role di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b717ebe4df37e747b496939ed64a350
https://doi.org/10.1007/978-3-030-36687-2_69
https://doi.org/10.1007/978-3-030-36687-2_69
Publikováno v:
IEEE BigData
Information polarization has the potential of developing into various problems such as opposition conflict. In this study, we analyzed the information polarization was caused in Japan by using Twitter data during the 48th Lower House Election in 2017
Publikováno v:
Electronics and Communications in Japan. 98:1-13
SUMMARY As a steady new network communications tool, social media have reached global proportions. This phenomenon has had an impact on societies all over the world. Above all, people provide information to Twitter and Facebook on a daily basis. As a
Publikováno v:
Scopus-Elsevier
As new network communication tools are developed, social network services (SNS) such as Facebook and Twitter are becoming part of a social phenomenon globally impacting on society. Many researchers are therefore studying the structure of relationship
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 133:1796-1805
Publikováno v:
SocialCom
We analyze information diffusion focusing on network structures. We propose a network growth model that can produce networks with the required features for analysis and we perform validation experimentation using Twitter and Facebook networks. The pr