{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T06:03:39Z","timestamp":1743141819689,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030868895"},{"type":"electronic","value":"9783030868901"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-86890-1_20","type":"book-chapter","created":{"date-parts":[[2021,9,17]],"date-time":"2021-09-17T00:49:44Z","timestamp":1631839784000},"page":"348-367","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Comprehensive Degree Based Key Node Recognition Method in Complex Networks"],"prefix":"10.1007","author":[{"given":"Lixia","family":"Xie","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Honghong","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,17]]},"reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"Yu, E.: A Re-ranking algorithm for identifying influential nodes in complex networks. IEEE Access 8, 211281\u2013211290 (2020)","DOI":"10.1109\/ACCESS.2020.3038791"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Yu, E.Y.: Identifying critical nodes in complex networks via graph convolutional networks. Knowl.-Based Syst. 198, 1\u20138 (2020)","DOI":"10.1016\/j.knosys.2020.105893"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Yan, X.L.: Identifying influential spreaders in complex networks based on entropy weight method and gravity law. Chin. Phys. B 29(4), 582\u2013590 (2020)","DOI":"10.1088\/1674-1056\/ab77fe"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Ullah, A.: Identification of Influential nodes via effective distance-based centrality mechanism in complex networks. Complexity 2021(11), 1\u20136 (2021)","DOI":"10.1155\/2021\/8403738"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Qiu, L.Q.: Ranking influential nodes in complex networks based on local and global structures. Appl. Intell. 1\u201314 (2021)","DOI":"10.3390\/a14030082"},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Liu, J.G.: Ranking the spreading influence in complex networks. Physica A Stat. Mech. Appl. 392(18), 4154\u20134159 (2013)","DOI":"10.1016\/j.physa.2013.04.037"},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Zeng, A.: Ranking spreaders by decomposing complex networks. Phys. Lett. A 377(14), 1031\u20131035 (2013)","DOI":"10.1016\/j.physleta.2013.02.039"},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"Namtirtha, A.: Weighted kshell degree neighborhood: a new method for identifying the influential spreaders from a variety of complex network connectivity structures. Expert Syst. Appl. 139, 1\u201315 (2020)","DOI":"10.1016\/j.eswa.2019.112859"},{"key":"20_CR9","doi-asserted-by":"crossref","unstructured":"Wen, T.: Identification of influencers in complex networks by local information dimensionality. Inf. Sci. 512, 549\u2013562 (2020)","DOI":"10.1016\/j.ins.2019.10.003"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Berahmand, K.: A new local and multidimensional ranking measure to detect spreaders in social networks. Comput. 101(11), 1711\u20131733 (2019)","DOI":"10.1007\/s00607-018-0684-8"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"Bae, J.: Identifying and ranking influential spreaders in complex networks by neighborhood coreness. Phys. A: Statal Mech. Appl. 395, 549\u2013559 (2014)","DOI":"10.1016\/j.physa.2013.10.047"},{"key":"20_CR12","doi-asserted-by":"crossref","unstructured":"Kitsak, M.: Identification of influential spreaders in complex networks. Nat. Phys. 6(11), 888\u2013893 (2010)","DOI":"10.1038\/nphys1746"},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Ibnoulouafi, A.: M-Centrality: identifying key nodes based on global position and local degree variation. J. Stat. Mech. Theory Exp. (7), 1\u201330 (2018)","DOI":"10.1088\/1742-5468\/aace08"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Maji, G.: Influential spreaders identification in complex networks with potential edge weight based k-shell degree neighborhood method. J. Comput. Sci. 39, 1\u20139 (2020)","DOI":"10.1016\/j.jocs.2019.101055"},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Maji, G.: A systematic survey on influential spreaders identification in complex networks with a focus on K-shell based techniques. Expert Syst. Appl. 161, 1\u201318 (2020)","DOI":"10.1016\/j.eswa.2020.113681"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Zhang, D.Y.: Identifying and quantifying potential super-spreaders in social networks. Sci. Rep. 9(1), 1\u201311 (2019)","DOI":"10.1038\/s41598-019-51153-5"},{"key":"20_CR17","volume-title":"Information Security Risk Assessment Specification: GB\/T 20984\u20132007[S]","author":"China National Standardization Administration Committee","year":"2007","unstructured":"China National Standardization Administration Committee: Information Security Risk Assessment Specification: GB\/T 20984\u20132007[S]. China Standard Press, Beijing (2007)"},{"key":"20_CR18","unstructured":"Peng, J.H.: Utility based security risk measurement model. J. Beijing Univ. Posts Telecommun. 29(2), 59\u201361 (2006)"}],"container-title":["Lecture Notes in Computer Science","Information and Communications Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86890-1_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,17]],"date-time":"2021-09-17T01:02:16Z","timestamp":1631840536000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86890-1_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030868895","9783030868901"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86890-1_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"17 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICICS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information and Communications Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chongqing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icics2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.icics.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"182","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"49","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}