{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:55:16Z","timestamp":1753602916909,"version":"3.41.0"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030660451"},{"type":"electronic","value":"9783030660468"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/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":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-66046-8_42","type":"book-chapter","created":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T15:02:32Z","timestamp":1609686152000},"page":"512-523","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Double-Threshold Models for Network Influence Propagation"],"prefix":"10.1007","author":[{"given":"Alexander","family":"Semenov","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Veremyev","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eduardo L.","family":"Pasiliao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vladimir","family":"Boginski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,4]]},"reference":[{"key":"42_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10115-020-01461-4","volume":"62","author":"S Banerjee","year":"2020","unstructured":"Banerjee, S., Jenamani, M., Pratihar, D.K.: A survey on influence maximization in a social network. Knowl. Inf. Syst. 62, 1\u201339 (2020)","journal-title":"Knowl. Inf. Syst."},{"issue":"44","key":"42_CR2","doi-asserted-by":"publisher","first-page":"12368","DOI":"10.1073\/pnas.1605083113","volume":"113","author":"A Braunstein","year":"2016","unstructured":"Braunstein, A., Dall\u2019Asta, L., Semerjian, G., Zdeborov\u00e1, L.: Network dismantling. Proc. Natl. Acad. Sci. 113(44), 12368\u201312373 (2016)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"4","key":"42_CR3","doi-asserted-by":"publisher","first-page":"1777","DOI":"10.1016\/j.physa.2011.09.017","volume":"391","author":"D Chen","year":"2012","unstructured":"Chen, D., L\u00fc, L., Shang, M.-S., Zhang, Y.-C., Zhou, T.: Identifying influential nodes in complex networks. Phys. A: Stat. Mech. Appl. 391(4), 1777\u20131787 (2012)","journal-title":"Phys. A: Stat. Mech. Appl."},{"key":"42_CR4","doi-asserted-by":"crossref","unstructured":"Chen, W., Wang, Y., Yang, S.: Efficient influence maximization in social networks. In: Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2009) (June 2009)","DOI":"10.1145\/1557019.1557047"},{"issue":"20","key":"42_CR5","doi-asserted-by":"publisher","first-page":"208301","DOI":"10.1103\/PhysRevLett.117.208301","volume":"117","author":"P Clusella","year":"2016","unstructured":"Clusella, P., Grassberger, P., P\u00e9rez-Reche, F., Politi, A.: Immunization and targeted destruction of networks using explosive percolation. Phys. Rev. Lett. 117(20), 208301 (2016)","journal-title":"Phys. Rev. Lett."},{"issue":"1","key":"42_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-019-51209-6","volume":"9","author":"\u015e Erkol","year":"2019","unstructured":"Erkol, \u015e., Castellano, C., Radicchi, F.: Systematic comparison between methods for the detection of influential spreaders in complex networks. Sci. Rep. 9(1), 1\u201311 (2019)","journal-title":"Sci. Rep."},{"issue":"6","key":"42_CR7","doi-asserted-by":"publisher","first-page":"1420","DOI":"10.1086\/226707","volume":"83","author":"M Granovetter","year":"1978","unstructured":"Granovetter, M.: Threshold models of collective behavior. Am. J. Sociol. 83(6), 1420\u20131443 (1978)","journal-title":"Am. J. Sociol."},{"issue":"2","key":"42_CR8","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1145\/2503792.2503797","volume":"42","author":"A Guille","year":"2013","unstructured":"Guille, A., Hacid, H., Favre, C., Zighed, D.A.: Information diffusion in online social networks: a survey. SIGMOD Rec. 42(2), 17\u201328 (2013)","journal-title":"SIGMOD Rec."},{"key":"42_CR9","doi-asserted-by":"publisher","first-page":"012316","DOI":"10.1103\/PhysRevE.98.012316","volume":"98","author":"YS Im","year":"2018","unstructured":"Im, Y.S., Kahng, B.: Dismantling efficiency and network fractality. Phys. Rev. E 98, 012316 (2018)","journal-title":"Phys. Rev. E"},{"key":"42_CR10","doi-asserted-by":"crossref","unstructured":"Kempe, D., Kleinberg, J., Tardos, E.: Maximizing the spread of influence through a social network. In Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2003, pp. 137\u2013146. ACM, New York (2003)","DOI":"10.1145\/956750.956769"},{"issue":"11","key":"42_CR11","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1038\/nphys1746","volume":"6","author":"M Kitsak","year":"2010","unstructured":"Kitsak, M., et al.: Identification of influential spreaders in complex networks. Nat. Phys. 6(11), 888\u2013893 (2010)","journal-title":"Nat. Phys."},{"issue":"10","key":"42_CR12","doi-asserted-by":"publisher","first-page":"1852","DOI":"10.1109\/TKDE.2018.2807843","volume":"30","author":"Y Li","year":"2018","unstructured":"Li, Y., Fan, J., Wang, Y., Tan, K.-L.: Influence maximization on social graphs: a survey. IEEE Trans. Knowl. Data Eng. 30(10), 1852\u20131872 (2018)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"7563","key":"42_CR13","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1038\/nature14604","volume":"524","author":"F Morone","year":"2015","unstructured":"Morone, F., Makse, H.A.: Influence maximization in complex networks through optimal percolation. Nature 524(7563), 65\u201368 (2015)","journal-title":"Nature"},{"key":"42_CR14","doi-asserted-by":"crossref","unstructured":"Pan, T., Li, X., Kuhnle, A., Thai, M.T.: Influence diffusion in online social networks with propagation rate changes. IEEE Trans. Netw. Sci. Eng. 1 (2020)","DOI":"10.1109\/TNSE.2020.3015935"},{"issue":"1","key":"42_CR15","doi-asserted-by":"publisher","first-page":"5547","DOI":"10.1038\/srep05547","volume":"4","author":"S Pei","year":"2014","unstructured":"Pei, S., Muchnik, L., Andrade Jr., J.S., Zheng, Z., Makse, H.A.: Searching for superspreaders of information in real-world social media. Sci. Rep. 4(1), 5547 (2014)","journal-title":"Sci. Rep."},{"key":"42_CR16","doi-asserted-by":"publisher","first-page":"012318","DOI":"10.1103\/PhysRevE.95.012318","volume":"95","author":"F Radicchi","year":"2017","unstructured":"Radicchi, F., Castellano, C.: Fundamental difference between superblockers and superspreaders in networks. Phys. Rev. E 95, 012318 (2017)","journal-title":"Phys. Rev. E"},{"key":"42_CR17","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1016\/j.omega.2015.06.014","volume":"59","author":"M Samadi","year":"2016","unstructured":"Samadi, M., Nikolaev, A., Nagi, R.: A subjective evidence model for influence maximization in social networks. Omega 59, 263\u2013278 (2016)","journal-title":"Omega"},{"key":"42_CR18","volume-title":"Micromotives and Macrobehavior","author":"TC Schelling","year":"2006","unstructured":"Schelling, T.C.: Micromotives and Macrobehavior. WW Norton & Company, New York (2006)"},{"issue":"1","key":"42_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40649-019-0075-0","volume":"7","author":"A Semenov","year":"2020","unstructured":"Semenov, A., Veremyev, A., Nikolaev, A., Pasiliao, E.L., Boginski, V.: Network-based indices of individual and collective advising impacts in mathematics. Comput. Soc. Netw. 7(1), 1\u201318 (2020). https:\/\/doi.org\/10.1186\/s40649-019-0075-0","journal-title":"Comput. Soc. Netw."},{"key":"42_CR20","series-title":"SpringerBriefs in Computer Science","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/978-3-319-23105-1_4","volume-title":"Diffusion in Social Networks","author":"P Shakarian","year":"2015","unstructured":"Shakarian, P., Bhatnagar, A., Aleali, A., Shaabani, E., Guo, R.: The independent cascade and linear threshold models. Diffusion in Social Networks. SCS, pp. 35\u201348. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-23105-1_4"},{"issue":"1","key":"42_CR21","doi-asserted-by":"publisher","first-page":"37954","DOI":"10.1038\/srep37954","volume":"6","author":"L Zdeborov\u00e1","year":"2016","unstructured":"Zdeborov\u00e1, L., Zhang, P., Zhou, H.-J.: Fast and simple decycling and dismantling of networks. Sci. Rep. 6(1), 37954 (2016)","journal-title":"Sci. Rep."},{"issue":"1.1","key":"42_CR22","first-page":"37","volume":"37","author":"H Zhang","year":"2014","unstructured":"Zhang, H., Mishra, S., Thai, M.T., Wu, J., Wang, Y.: Recent advances in information diffusion and influence maximization in complex social networks. Oppor. Mob. Soc. Netw. 37(1.1), 37 (2014)","journal-title":"Oppor. Mob. Soc. Netw."},{"key":"42_CR23","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.cnsns.2019.01.032","volume":"74","author":"F Zhou","year":"2019","unstructured":"Zhou, F., L\u00fc, L., Mariani, M.S.: Fast influencers in complex networks. Commun. Nonlinear Sci. Numer. Simul. 74, 69\u201383 (2019)","journal-title":"Commun. Nonlinear Sci. Numer. Simul."}],"container-title":["Lecture Notes in Computer Science","Computational Data and Social Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-66046-8_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T03:48:58Z","timestamp":1748836138000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-66046-8_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030660451","9783030660468"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-66046-8_42","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"4 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CSoNet","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Data and Social Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dallas, TX","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","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":"11 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csonet2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/optnetsci.cise.ufl.edu\/CSoNet\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"83","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":"20","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":"24% - 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":"3,4","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":"3","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)"}}]}}