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http://hdl.handle.net/1942/32437
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DC Field | Value | Language |
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dc.contributor.author | FUENTES HERRERA, Ivett | - |
dc.contributor.author | Pina, Arian | - |
dc.contributor.author | NAPOLES RUIZ, Gonzalo | - |
dc.contributor.author | Arco, Leticia | - |
dc.contributor.author | VANHOOF, Koen | - |
dc.date.accessioned | 2020-10-13T07:33:20Z | - |
dc.date.available | 2020-10-13T07:33:20Z | - |
dc.date.issued | 2020 | - |
dc.date.submitted | 2020-10-01T21:51:09Z | - |
dc.identifier.citation | Rough Sets, p. 401 -415 | - |
dc.identifier.isbn | 978-3-030-52704-4 | - |
dc.identifier.isbn | 978-3-030-52705-1 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | http://hdl.handle.net/1942/32437 | - |
dc.description.abstract | Rough set theory has many interesting applications in circumstances which are characterized by vagueness. In this paper, the applications of rough set theory in community detection analysis is discussed based on the Rough Net definition. We will focus the application of Rough Net concept in community detection validity in both monoplex and multiplex complex networks. Also, the topological evolution estimation between adjacent layers in dynamic networks is discussed and a new visualization schema combining both complex network representation and Rough Net definition is adopted contributing to the understanding of the community structure. We provide some examples demonstrating how the Rough Net definition can be used to analyze the properties of the community structure in real-world networks, including dynamic networks. | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER INTERNATIONAL PUBLISHING AG | - |
dc.relation.ispartofseries | Lecture Notes in Computer Science | - |
dc.rights | Springer Nature Switzerland AG 2020 | - |
dc.subject.other | Extended Rough Set Theory | - |
dc.subject.other | Community Detection Anal- ysis | - |
dc.subject.other | Monoplex Complex Networks | - |
dc.subject.other | Multiplex Complex Networks | - |
dc.title | Rough Net Approach for Community Detection Analysis in Complex Networks | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | 29 june - 6 July 2020 | - |
local.bibliographicCitation.conferencename | International Joint Conference on Rough Sets : IJCRS 2020 | - |
local.bibliographicCitation.conferenceplace | Havana, Cuba (online) | - |
dc.identifier.epage | 415 | - |
dc.identifier.spage | 401 | - |
dc.identifier.volume | 12179 | - |
local.bibliographicCitation.jcat | C1 | - |
local.publisher.place | GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.relation.ispartofseriesnr | 12179 | - |
dc.identifier.doi | 10.1007/978-3-030-52705-1_30 | - |
dc.identifier.isi | 000713415600030 | - |
local.provider.type | CrossRef | - |
local.bibliographicCitation.btitle | Rough Sets | - |
local.uhasselt.international | yes | - |
item.contributor | FUENTES HERRERA, Ivett | - |
item.contributor | Pina, Arian | - |
item.contributor | NAPOLES RUIZ, Gonzalo | - |
item.contributor | Arco, Leticia | - |
item.contributor | VANHOOF, Koen | - |
item.validation | ecoom 2022 | - |
item.validation | vabb 2022 | - |
item.fulltext | With Fulltext | - |
item.accessRights | Open Access | - |
item.fullcitation | FUENTES HERRERA, Ivett; Pina, Arian; NAPOLES RUIZ, Gonzalo; Arco, Leticia & VANHOOF, Koen (2020) Rough Net Approach for Community Detection Analysis in Complex Networks. In: Rough Sets, p. 401 -415. | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
manuscript.pdf | Peer-reviewed author version | 1.46 MB | Adobe PDF | View/Open |
Fuentes2020_Chapter_RoughNetApproachForCommunityDe.pdf Restricted Access | Published version | 2.76 MB | Adobe PDF | View/Open Request a copy |
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