{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T22:37:00Z","timestamp":1740177420721,"version":"3.37.3"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T00:00:00Z","timestamp":1559260800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T00:00:00Z","timestamp":1559260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Netw Sci"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1007\/s41109-019-0135-2","type":"journal-article","created":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T15:02:38Z","timestamp":1559314958000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Impact of network density on cascade size and community growth"],"prefix":"10.1007","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5783-1732","authenticated-orcid":false,"given":"Kazumasa","family":"Oida","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,5,31]]},"reference":[{"issue":"1","key":"135_CR1","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1186\/s40649-015-0023-6","volume":"2","author":"D Antoniades","year":"2015","unstructured":"Antoniades, D, Dovrolis C (2015) Co-evolutionary dynamics in social networks: A case study of twitter. Comput Soc Netw 2(1):14.","journal-title":"Comput Soc Netw"},{"issue":"1","key":"135_CR2","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1186\/s13174-017-0066-z","volume":"8","author":"P Arag\u00f3n","year":"2017","unstructured":"Arag\u00f3n, P, G\u00f3mez V, Garc\u00eda D, Kaltenbrunner A (2017) Generative models of online discussion threads: state of the art and research challenges. J Internet Serv Appl 8(1):15.","journal-title":"J Internet Serv Appl"},{"issue":"6","key":"135_CR3","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1038\/s41562-018-0346-z","volume":"2","author":"S Aral","year":"2018","unstructured":"Aral, S, Dhillon PS (2018) Social influence maximization under empirical influence models. Nat Hum Behav 2(6):375.","journal-title":"Nat Hum Behav"},{"issue":"2","key":"135_CR4","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1080\/0022250X.2018.1517761","volume":"43","author":"S Banisch","year":"2019","unstructured":"Banisch, S, Olbrich E (2019) Opinion polarization by learning from social feedback. J Math Sociol 43(2):76\u2013103.","journal-title":"J Math Sociol"},{"issue":"4","key":"135_CR5","doi-asserted-by":"publisher","first-page":"1078","DOI":"10.1109\/TCYB.2016.2537366","volume":"47","author":"Q Bao","year":"2017","unstructured":"Bao, Q, Cheung WK, Zhang Y, Liu J (2017) A component-based diffusion model with structural diversity for social networks. IEEE Trans Cybernet 47(4):1078\u20131089.","journal-title":"IEEE Trans Cybernet"},{"key":"135_CR6","doi-asserted-by":"crossref","unstructured":"Bose, A, Shin KG (2008) On capturing malware dynamics in mobile power-law networks In: Proceedings of the 4th International Conference on Security and Privacy in Communication Netowrks, 12.. ACM.","DOI":"10.1145\/1460877.1460893"},{"key":"135_CR7","doi-asserted-by":"crossref","unstructured":"Cheng, J, Adamic L, Dow PA, Kleinberg JM, Leskovec J (2014) Can cascades be predicted? In: Proceedings of the 23rd International Conference on World Wide Web, 925\u2013936.. ACM.","DOI":"10.1145\/2566486.2567997"},{"issue":"1","key":"135_CR8","first-page":"2","volume":"13","author":"M Cheung","year":"2017","unstructured":"Cheung, M, She J, Junus A, Cao L (2017) Prediction of virality timing using cascades in social media. ACM Trans Multimed Comput Commun Appl (TOMM) 13(1):2.","journal-title":"ACM Trans Multimed Comput Commun Appl (TOMM)"},{"key":"135_CR9","first-page":"1","volume":"18","author":"M Farajtabar","year":"2017","unstructured":"Farajtabar, M, Wang Y, Gomez-Rodriguez M, Li S, Zha H (2017) Coevolve: A joint point process model for information diffusion and network evolution. J Mach Learn Res 18:1\u201349.","journal-title":"J Mach Learn Res"},{"issue":"1","key":"135_CR10","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1287\/mnsc.2015.2158","volume":"62","author":"S Goel","year":"2015","unstructured":"Goel, S, Anderson A, Hofman J, Watts DJ (2015) The structural virality of online diffusion. Manag Sci 62(1):180\u2013196.","journal-title":"Manag Sci"},{"key":"135_CR11","doi-asserted-by":"crossref","unstructured":"Goel, S, Watts DJ, Goldstein DG (2012) The structure of online diffusion networks In: Proceedings of the 13th ACM Conference on Electronic Commerce, 623\u2013638.. ACM.","DOI":"10.1145\/2229012.2229058"},{"key":"135_CR12","doi-asserted-by":"crossref","unstructured":"Hours, H, Fleury E, Karsai M (2016) Link prediction in the twitter mention network: impacts of local structure and similarity of interest In: Data Mining Workshops (ICDMW), 2016 IEEE 16th International Conference On, 454\u2013461.. IEEE.","DOI":"10.1109\/ICDMW.2016.0071"},{"key":"135_CR13","doi-asserted-by":"crossref","unstructured":"Jin, H (2017) Detection and characterization of influential cross-lingual information diffusion on social networks In: Proceedings of the 26th International Conference on World Wide Web Companion, 741\u2013745. International World Wide Web Conferences Steering Committee.","DOI":"10.1145\/3041021.3055365"},{"key":"135_CR14","doi-asserted-by":"crossref","unstructured":"Junus, A, Ming C, She J, Jie Z (2015) Community-aware prediction of virality timing using big data of social cascades In: Big Data Computing Service and Applications (BigDataService), 2015 IEEE First International Conference On, 487\u2013492.. IEEE.","DOI":"10.1109\/BigDataService.2015.40"},{"key":"135_CR15","doi-asserted-by":"crossref","unstructured":"Kempe, D, Kleinberg J, Tardos \u00c9 (2003) Maximizing the spread of influence through a social network In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 137\u2013146.. ACM.","DOI":"10.1145\/956750.956769"},{"key":"135_CR16","doi-asserted-by":"crossref","unstructured":"Kempe, D, Kleinberg J, Tardos \u00c9 (2005) Influential nodes in a diffusion model for social networks In: International Colloquium on Automata, Languages, and Programming, 1127\u20131138.. Springer.","DOI":"10.1007\/11523468_91"},{"key":"135_CR17","doi-asserted-by":"crossref","unstructured":"Krishnan, S, Butler P, Tandon R, Leskovec J, Ramakrishnan N (2016) Seeing the forest for the trees: new approaches to forecasting cascades In: Proceedings of the 8th ACM Conference on Web Science, 249\u2013258.. ACM.","DOI":"10.1145\/2908131.2908155"},{"key":"135_CR18","doi-asserted-by":"crossref","unstructured":"Leskovec, J, Backstrom L, Kumar R, Tomkins A (2008) Microscopic evolution of social networks In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 462\u2013470.. ACM.","DOI":"10.1145\/1401890.1401948"},{"key":"135_CR19","doi-asserted-by":"crossref","unstructured":"Li, C-T, Lin Y-J, Yeh M-Y (2015) The roles of network communities in social information diffusion In: Big Data (Big Data), 2015 IEEE International Conference On, 391\u2013400.. IEEE.","DOI":"10.1109\/BigData.2015.7363780"},{"key":"135_CR20","doi-asserted-by":"crossref","unstructured":"Myers, SA, Leskovec J (2014) The bursty dynamics of the twitter information network In: Proceedings of the 23rd International Conference on World Wide Web, 913\u2013924.. ACM.","DOI":"10.1145\/2566486.2568043"},{"issue":"5","key":"135_CR21","doi-asserted-by":"publisher","first-page":"5678","DOI":"10.1103\/PhysRevE.61.5678","volume":"61","author":"C Moore","year":"2000","unstructured":"Moore, C, Newman ME (2000) Epidemics and percolation in small-world networks. Phys Rev E 61(5):5678.","journal-title":"Phys Rev E"},{"issue":"6","key":"135_CR22","doi-asserted-by":"publisher","first-page":"066130","DOI":"10.1103\/PhysRevE.69.066130","volume":"69","author":"Y Moreno","year":"2004","unstructured":"Moreno, Y, Nekovee M, Pacheco AF (2004) Dynamics of rumor spreading in complex networks. Phys Rev E 69(6):066130.","journal-title":"Phys Rev E"},{"issue":"1","key":"135_CR23","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/TCSS.2018.2883614","volume":"6","author":"K Oida","year":"2019","unstructured":"Oida, K, Okubo K (2019) Adopter community formation accelerated by repeaters of product advertisement campaigns. IEEE Trans Comput Soc Syst 6(1):56\u201372.","journal-title":"IEEE Trans Comput Soc Syst"},{"issue":"8","key":"135_CR24","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1145\/1787234.1787254","volume":"53","author":"G Szabo","year":"2010","unstructured":"Szabo, G, Huberman BA (2010) Predicting the popularity of online content. Commun ACM 53(8):80\u201388.","journal-title":"Commun ACM"},{"issue":"2","key":"135_CR25","doi-asserted-by":"publisher","first-page":"022302","DOI":"10.1103\/PhysRevE.97.022302","volume":"97","author":"EM Tur","year":"2018","unstructured":"Tur, EM, Zeppini P, Frenken K (2018) Diffusion with social reinforcement: The role of individual preferences. Phys Rev E 97(2):022302.","journal-title":"Phys Rev E"},{"issue":"9","key":"135_CR26","doi-asserted-by":"publisher","first-page":"5766","DOI":"10.1073\/pnas.082090499","volume":"99","author":"DJ Watts","year":"2002","unstructured":"Watts, DJ (2002) A simple model of global cascades on random networks. Proc Natl Acad Sci 99(9):5766\u20135771.","journal-title":"Proc Natl Acad Sci"},{"key":"135_CR27","doi-asserted-by":"publisher","first-page":"2522","DOI":"10.1038\/srep02522","volume":"3","author":"L Weng","year":"2013","unstructured":"Weng, L, Menczer F, Ahn Y-Y (2013) Virality prediction and community structure in social networks. Sci Rep 3:2522.","journal-title":"Sci Rep"},{"key":"135_CR28","doi-asserted-by":"crossref","unstructured":"Weng, L, Menczer F, Ahn Y-Y (2014) Predicting successful memes using network and community structure In: ICWSM.","DOI":"10.1609\/icwsm.v8i1.14530"},{"key":"135_CR29","doi-asserted-by":"crossref","unstructured":"Weng, L, Ratkiewicz J, Perra N, Gon\u00e7alves B, Castillo C, Bonchi F, Schifanella R, Menczer F, Flammini A (2013) The role of information diffusion in the evolution of social networks In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 356\u2013364.. ACM.","DOI":"10.1145\/2487575.2487607"},{"key":"135_CR30","doi-asserted-by":"crossref","unstructured":"Zhao, Q, Erdogdu MA, He HY, Rajaraman A, Leskovec J (2015) Seismic: A self-exciting point process model for predicting tweet popularity In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1513\u20131522.. ACM.","DOI":"10.1145\/2783258.2783401"}],"container-title":["Applied Network Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41109-019-0135-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s41109-019-0135-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41109-019-0135-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,17]],"date-time":"2023-09-17T03:19:10Z","timestamp":1694920750000},"score":1,"resource":{"primary":{"URL":"https:\/\/appliednetsci.springeropen.com\/articles\/10.1007\/s41109-019-0135-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,31]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["135"],"URL":"https:\/\/doi.org\/10.1007\/s41109-019-0135-2","relation":{},"ISSN":["2364-8228"],"issn-type":[{"type":"electronic","value":"2364-8228"}],"subject":[],"published":{"date-parts":[[2019,5,31]]},"assertion":[{"value":"13 November 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 April 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 May 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The author declare that no competing interests exist.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"29"}}