{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:01:48Z","timestamp":1743087708115,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811590306"},{"type":"electronic","value":"9789811590313"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-981-15-9031-3_17","type":"book-chapter","created":{"date-parts":[[2020,9,25]],"date-time":"2020-09-25T07:04:29Z","timestamp":1601017469000},"page":"189-200","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Measure to Quantify the Robustness of Social Network Under the Virus Attacks"],"prefix":"10.1007","author":[{"given":"Bo","family":"Song","sequence":"first","affiliation":[]},{"given":"Zhengjun","family":"Jing","sequence":"additional","affiliation":[]},{"given":"Y.","family":"Jay Guo","sequence":"additional","affiliation":[]},{"given":"Ren Ping","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Qian","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,22]]},"reference":[{"issue":"10231","key":"17_CR1","first-page":"1168","volume":"395","author":"T Lancet","year":"2020","unstructured":"Lancet, T.: The gendered dimensions of COVID-19. The Lancet 395(10231), 1168 (2020)","journal-title":"The Lancet"},{"issue":"10232","key":"17_CR2","doi-asserted-by":"publisher","first-page":"1257","DOI":"10.1016\/S0140-6736(20)30806-0","volume":"395","author":"M Dave","year":"2020","unstructured":"Dave, M., Seoudi, N., Coulthard, P.: Urgent dental care for patients during the COVID-19 pandemic. The Lancet 395(10232), 1257 (2020)","journal-title":"The Lancet"},{"key":"17_CR3","unstructured":"Cameron, H., Brian, O., Nicholas, S., et al.: Will COVID-19 fiscal recovery packages accelerate or retard progress on climate change? Oxford Review of Economic Policy (2020)"},{"issue":"9","key":"17_CR4","doi-asserted-by":"publisher","first-page":"3151","DOI":"10.3390\/ijerph17093151","volume":"19","author":"ND Odeh","year":"2020","unstructured":"Odeh, N.D., Babkair, H., Abu-Hammad, S., et al.: COVID-19: present and future challenges for dental practice. Int. J. Environ. Res. Public Health 19(9), 3151 (2020)","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"17_CR5","unstructured":"https:\/\/www.who.int\/docs\/default-source\/coronaviruse\/situation-reports\/20200601-covid-19-sitrep-133.pdf?sfvrsn=9a56f2ac_4"},{"issue":"1","key":"17_CR6","first-page":"012310","volume":"98","author":"C Wesley","year":"2018","unstructured":"Wesley, C., Mata Ang\u00e9lica, S., Ferreira, S.C.: Robustness and fragility of the susceptible-infected-susceptible epidemic models on complex networks. Phys. Rev. E 98(1), 012310 (2018)","journal-title":"Phys. Rev. E"},{"key":"17_CR7","doi-asserted-by":"publisher","first-page":"3981","DOI":"10.1007\/s10586-018-2580-6","volume":"22","author":"Y Jiang","year":"2018","unstructured":"Jiang, Y., Hu, A., Huang, J.: Importance-based entropy measures of complex networks\u2019 robustness to attacks. Cluster Comput. 22, 3981\u20133988 (2018)","journal-title":"Cluster Comput."},{"issue":"3","key":"17_CR8","first-page":"120","volume":"87","author":"R Pastor-Satorras","year":"2014","unstructured":"Pastor-Satorras, R., Castellano, C., Mieghem, P.V., et al.: Epidemic processes in complex networks. Rev. Modern Phys. 87(3), 120\u2013131 (2014)","journal-title":"Rev. Modern Phys."},{"issue":"12","key":"17_CR9","doi-asserted-by":"publisher","first-page":"1494","DOI":"10.1016\/j.comcom.2012.04.015","volume":"35","author":"PV Mieghem","year":"2012","unstructured":"Mieghem, P.V.: The viral conductance of a network. Comput. Commun. 35(12), 1494\u20131506 (2012)","journal-title":"Comput. Commun."},{"key":"17_CR10","unstructured":"Mina, Y., Robert, K., Caterina, S.: Viral conductance: quantifying the robustness of networks with respect to spread of epidemics. J. Computat. Sci., 2(2011), 286\u2013298 (2011)"},{"key":"17_CR11","doi-asserted-by":"crossref","unstructured":"Socievole, A., De Rango, F., Scoglio, C., et al.: Assessing network robustness under SIS epidemics: the relationship between epidemic threshold and viral conductance. Comput. Netw. 103, 196\u2013206 (2016)","DOI":"10.1016\/j.comnet.2016.04.016"},{"issue":"4","key":"17_CR12","doi-asserted-by":"publisher","first-page":"2046","DOI":"10.1109\/SURV.2013.031413.00127","volume":"15","author":"ST Zargar","year":"2013","unstructured":"Zargar, S.T., Joshi, J., Tipper, D.: A survey of defense mechanisms against distributed denial of service (DDoS) flooding attacks. IEEE Commun. Surv. Tutorials 15(4), 2046\u20132069 (2013)","journal-title":"IEEE Commun. Surv. Tutorials"},{"key":"17_CR13","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1109\/TIFS.2019.2926193","volume":"15","author":"B Song","year":"2019","unstructured":"Song, B., Wang, X., Ni, W., et al.: Reliability analysis of large-scale adaptive weighted networks. IEEE Trans. Inf. Forensics Security 15, 651\u2013665 (2019)","journal-title":"IEEE Trans. Inf. Forensics Security"},{"key":"17_CR14","doi-asserted-by":"publisher","first-page":"121729","DOI":"10.1016\/j.physa.2019.121729","volume":"532","author":"B Song","year":"2019","unstructured":"Song, B., Zhang, Z.H., Song, Y.R., et al.: Preferential redistribution in cascading failure by considering local real-time information. Physica A: Statal Mech. Appl. 532, 121729 (2019)","journal-title":"Physica A: Statal Mech. Appl."},{"issue":"7","key":"17_CR15","doi-asserted-by":"publisher","first-page":"488","DOI":"10.1002\/jez.b.22555","volume":"322","author":"D Guillaume","year":"2014","unstructured":"Guillaume, D., Diana, A., Alexander, D., et al.: Molecular mechanisms of paralogous compensation and the robustness of cellular networks. J. Experimental Zoology Part B Molecular Dev. Evol. 322(7), 488\u2013499 (2014)","journal-title":"J. Experimental Zoology Part B Molecular Dev. Evol."},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Banerjee, S., Chatterjee, A., Shakkottai, S.: Epidemic thresholds with external agents. In: Proceedings IEEE Infocom (2013)","DOI":"10.1109\/INFOCOM.2014.6848163"},{"issue":"1","key":"17_CR17","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1016\/j.cnsns.2014.04.023","volume":"20","author":"GH Zhu","year":"2015","unstructured":"Zhu, G.H., Chen, G.R., Zhang, H.F., et al.: Propagation dynamics of an epidemic model with infective media connecting two separated networks of populations. Commun. Nonlinear Sci. Numerical Simulat. 20(1), 240\u2013249 (2015)","journal-title":"Commun. Nonlinear Sci. Numerical Simulat."},{"issue":"1","key":"17_CR18","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3934\/cpaa.2019002","volume":"18","author":"A Perasso","year":"2019","unstructured":"Perasso, A.: Global stability and uniform persistence for an infection load-structured SI model with exponential growth velocity. Commun. Pure Appl. Anal. 18(1), 15\u201332 (2019)","journal-title":"Commun. Pure Appl. Anal."},{"key":"17_CR19","doi-asserted-by":"crossref","unstructured":"Li, C.C., Jiang, G.P., Song, Y.R., et al.: Modeling and analysis of epidemic spreading on community networks with heterogeneity. J. Parallel Distributed Comput. 119, 136\u2013145 (2018)","DOI":"10.1016\/j.jpdc.2018.04.009"},{"key":"17_CR20","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1038\/30918","volume":"393","author":"DJ Watts","year":"1998","unstructured":"Watts, D.J., Strogatz, S.H.: Collective dynamics of \u201csmall-world\u201d networks. Nature 393, 440\u2013442 (1998)","journal-title":"Nature"},{"issue":"5439","key":"17_CR21","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1126\/science.286.5439.509","volume":"286","author":"AL Barab\u00e1si","year":"1999","unstructured":"Barab\u00e1si, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509\u2013512 (1999)","journal-title":"Science"}],"container-title":["Communications in Computer and Information Science","Security and Privacy in Social Networks and Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-9031-3_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,25]],"date-time":"2021-04-25T02:43:33Z","timestamp":1619318613000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-15-9031-3_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811590306","9789811590313"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-9031-3_17","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"22 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SocialSec","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Security and Privacy in Social Networks and Big Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"socialsec2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/nsclab.org\/socialsec2020\/","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":"111","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":"38","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":"34% - 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":"3","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":"5.6","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}