dc.contributor.author | Gao, J | |
dc.contributor.author | Hao, F | |
dc.contributor.author | Yang, E | |
dc.contributor.author | Yang, Y | |
dc.contributor.author | Min, G | |
dc.date.accessioned | 2021-02-04T11:20:28Z | |
dc.date.issued | 2020-12-04 | |
dc.description.abstract | As the network security gradually deviates from the virtual environment to the real environment, the security problems caused by abnormal users in social networks are becoming increasingly prominent. These abnormal users usually form a group which can be regarded as an isolated network. This paper aims to detect the isolated maximal cliques from a dynamic social network for identifying the abnormal users in order to cut off the source of fake information in time. By virtue of concept stability, an isolated maximal clique detection approach is proposed. Experimental results shown that the proposed algorithm has a high F-measure value for detecting the isolated maximal cliques in social network. | en_GB |
dc.description.sponsorship | National Natural Science Foundation of China (NSFC) | en_GB |
dc.description.sponsorship | Natural Science Basic Research Plan in Shaanxi Province of China | en_GB |
dc.description.sponsorship | Fund Program for the Scientific Activities of Selected Returned Overseas Professionals in Shaanxi Province | en_GB |
dc.description.sponsorship | European Union Horizon 2020 | en_GB |
dc.identifier.citation | Vol. 12398, pp. 131 - 144 | en_GB |
dc.identifier.doi | 10.1007/978-3-030-64243-3_11 | |
dc.identifier.grantnumber | 61702317 | en_GB |
dc.identifier.grantnumber | Grant No. 2019JM-379 | en_GB |
dc.identifier.grantnumber | 2017024 | en_GB |
dc.identifier.grantnumber | 840922 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/124608 | |
dc.language.iso | en | en_GB |
dc.publisher | Springer Verlag | en_GB |
dc.rights | © Springer Nature Switzerland AG 2020 | en_GB |
dc.subject | Isolated maximal clique | en_GB |
dc.subject | Concept stability | en_GB |
dc.subject | Formal Concept Analysis | en_GB |
dc.title | Concept Stability Based Isolated Maximal Cliques Detection in Dynamic Social Networks | en_GB |
dc.type | Conference paper | en_GB |
dc.date.available | 2021-02-04T11:20:28Z | |
dc.identifier.isbn | 9783030642426 | |
dc.identifier.issn | 0302-9743 | |
dc.description | This is the author accepted manuscript. The final version is available from Springer Verlag via the DOI in this record | en_GB |
dc.description | In: Green, Pervasive, and Cloud Computing, edited by Z. Yu, C. Becker, G. Xing. GPC 2020: International Conference on Green, Pervasive, and Cloud Computing, 13 - 15 November Xi'an, China | en_GB |
dc.identifier.journal | Lecture Notes in Computer Science | en_GB |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2020-12-04 | |
rioxxterms.type | Conference Paper/Proceeding/Abstract | en_GB |
refterms.dateFCD | 2021-02-04T11:13:15Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2021-02-04T11:20:42Z | |
refterms.panel | B | en_GB |