{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T10:17:07Z","timestamp":1786184227134,"version":"3.56.0"},"publisher-location":"New York, New York, USA","reference-count":22,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"ARC Center of Excellence for Mathematical and Statistical Frontiers (ACEMS)"},{"name":"Data to Decisions Cooperative Research Centre (D2DCRC)"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1145\/3041021.3053903","type":"proceedings-article","created":{"date-parts":[[2018,1,11]],"date-time":"2018-01-11T18:39:25Z","timestamp":1515695965000},"page":"1493-1498","source":"Crossref","is-referenced-by-count":16,"title":["The Nature and Origin of Heavy Tails in Retweet Activity"],"prefix":"10.1145","author":[{"given":"Peter","family":"Mathews","sequence":"first","affiliation":[{"name":"The University of Adelaide, Adelaide, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lewis","family":"Mitchell","sequence":"additional","affiliation":[{"name":"The University of Adelaide, Adelaide, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giang","family":"Nguyen","sequence":"additional","affiliation":[{"name":"The University of Adelaide, Adelaide, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nigel","family":"Bean","sequence":"additional","affiliation":[{"name":"The University of Adelaide, Adelaide, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","reference":[{"key":"key-10.1145\/3041021.3053903-1","unstructured":"Twitter Counter, 2008 (accessed March 20, 2016)."},{"key":"key-10.1145\/3041021.3053903-2","unstructured":"Alexa. The top 500 sites on the web, May 2016.texttthttp:\/\/www.alexa.com\/topsites."},{"key":"key-10.1145\/3041021.3053903-3","unstructured":"E. Bakshy, J. M. Hofman, W. A. Mason, and D. J. Watts. Identifying influencers on Twitter. In Fourth ACM International Conference on Web Seach and Data Mining (WSDM), 2011."},{"key":"key-10.1145\/3041021.3053903-4","doi-asserted-by":"crossref","unstructured":"A.-L. Barab&#225;si. The origin of bursts and heavy tails in human dynamics. Nature, 435:207, 2005.","DOI":"10.1038\/nature03459"},{"key":"key-10.1145\/3041021.3053903-5","doi-asserted-by":"crossref","unstructured":"A.-L. Barab&#225;si and R. Albert. Emergence of scaling in random networks. Science, 286(5439):509--512, 1999.","DOI":"10.1126\/science.286.5439.509"},{"key":"key-10.1145\/3041021.3053903-6","doi-asserted-by":"crossref","unstructured":"A.-L. Barab&#225;si, R. Albert, and H. Jeong. Mean field theory for scale-free random networks. Physica A Statistical Mechanics and its Applications, 272:173--187, Oct. 1999.","DOI":"10.1016\/S0378-4371(99)00291-5"},{"key":"key-10.1145\/3041021.3053903-7","doi-asserted-by":"crossref","unstructured":"H. Bauke. Parameter estimation for power-law distributions by maximum likelihood methods. The European Physical Journal B, 58(2):167--173, 2007.","DOI":"10.1140\/epjb\/e2007-00219-y"},{"key":"key-10.1145\/3041021.3053903-8","doi-asserted-by":"crossref","unstructured":"D. R. Bild, Y. Liu, R. P. Dick, Z. M. Mao, and D. S. Wallach. Aggregate characterization of user behavior in Twitter and analysis of the retweet graph. ACM Trans. Internet Technol., 15(1):4:1--4:24, Mar. 2015.","DOI":"10.1145\/2700060"},{"key":"key-10.1145\/3041021.3053903-9","doi-asserted-by":"crossref","unstructured":"A. Clauset, C. R. Shalizi, and M. E. J. Newman. Power-law distributions in empirical data. SIAM Rev., 51(4):661--703, Nov. 2009.","DOI":"10.1137\/070710111"},{"key":"key-10.1145\/3041021.3053903-10","doi-asserted-by":"crossref","unstructured":"R. Crane and D. Sornette. Robust dynamic classes revealed by measuring the response function of a social system. Proceedings of the National Academy of Sciences, 105(41):15649--15653, 2008.","DOI":"10.1073\/pnas.0803685105"},{"key":"key-10.1145\/3041021.3053903-11","doi-asserted-by":"crossref","unstructured":"Y. Ding and X. Li. Time weight collaborative filtering. In Proceedings of the 14th ACM International Conference on Information and Knowledge Management, CIKM '05, pages 485--492, New York, NY, USA, 2005.","DOI":"10.1145\/1099554.1099689"},{"key":"key-10.1145\/3041021.3053903-12","doi-asserted-by":"crossref","unstructured":"C. Doerr, N. Blenn, and P. Van Mieghem. Lognormal infection times of online information spread. PLoS ONE, 8(5):1--6, 05 2013.","DOI":"10.1371\/journal.pone.0064349"},{"key":"key-10.1145\/3041021.3053903-13","unstructured":"Y. M. Ioannides and H. G. Overman. Zipf's law for cities: an empirical examination . Regional Science and Urban Economics, 33(2):127--137, 2003."},{"key":"key-10.1145\/3041021.3053903-14","doi-asserted-by":"crossref","unstructured":"A. Kupavskii, L. Ostroumova, A. Umnov, S. Usachev, P. Serdyukov, G. Gusev, and A. Kustarev. Prediction of retweet cascade size over time. In Proceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM '12, pages 2335--2338, New York, NY, USA, 2012.","DOI":"10.1145\/2396761.2398634"},{"key":"key-10.1145\/3041021.3053903-15","doi-asserted-by":"crossref","unstructured":"L. Li, L. Zheng, F. Yang, and T. Li. Modeling and broadening temporal user interest in personalized news recommendation. Expert Syst. Appl., 41(7):3168--3177, June 2014.","DOI":"10.1016\/j.eswa.2013.11.020"},{"key":"key-10.1145\/3041021.3053903-16","doi-asserted-by":"crossref","unstructured":"Y. Lu, P. Zhang, Y. Cao, Y. Hu, and L. Guo. On the frequency distribution of retweets. Procedia Computer Science, 31:747--753, 2014.","DOI":"10.1016\/j.procs.2014.05.323"},{"key":"key-10.1145\/3041021.3053903-17","doi-asserted-by":"crossref","unstructured":"H. Mahmoud. Polya Urn Models. Chapman &#38; Hall\/CRC, 1st edition, 2008.","DOI":"10.1201\/9781420059847"},{"key":"key-10.1145\/3041021.3053903-18","doi-asserted-by":"crossref","unstructured":"M. Mitzenmacher. A brief history of generative models for power law and lognormal distributions. Internet Mathematics, 1:226--251, 2004.","DOI":"10.1080\/15427951.2004.10129088"},{"key":"key-10.1145\/3041021.3053903-19","doi-asserted-by":"crossref","unstructured":"M. E. J. Newman. Power laws, Pareto distributions and Zipf's law. Contemporary Physics, 2005.","DOI":"10.1080\/00107510500052444"},{"key":"key-10.1145\/3041021.3053903-20","doi-asserted-by":"crossref","unstructured":"A. V&#225;zquez, J. a. G. Oliveira, Z. Dezs&#246;, K.-I. Goh, I. Kondor, and A.-L. Barab&#225;si. Modeling bursts and heavy tails in human dynamics. Phys. Rev. E, 73:036127, Mar. 2006.","DOI":"10.1103\/PhysRevE.73.036127"},{"key":"key-10.1145\/3041021.3053903-21","doi-asserted-by":"crossref","unstructured":"S. Wu, J. M. Hofman, W. A. Mason, and D. J. Watts. Who says what to whom on Twitter. In Proceedings of the 20th International Conference on World Wide Web, WWW '11, pages 705--714, New York, NY, USA, 2011.","DOI":"10.1145\/1963405.1963504"},{"key":"key-10.1145\/3041021.3053903-22","doi-asserted-by":"crossref","unstructured":"Q. Zhao, M. A. Erdogdu, H. Y. He, A. Rajaraman, and J. Leskovec. 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, KDD '15, pages 1513--1522, New York, NY, USA, 2015.","DOI":"10.1145\/2783258.2783401"}],"event":{"name":"the 26th International Conference","location":"Perth, Australia","acronym":"WWW '17 Companion","number":"26","sponsor":["SIGWEB, ACM Special Interest Group on Hypertext, Hypermedia, and Web","IW3C2, International World Wide Web Conference Committee"],"start":{"date-parts":[[2017,4,3]]},"end":{"date-parts":[[2017,4,7]]}},"container-title":["Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3041021.3053903","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3053903&ftid=1865254&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:03:18Z","timestamp":1750215798000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3041021.3053903"}},"subtitle":[],"proceedings-subject":"World Wide Web Companion","short-title":[],"issued":{"date-parts":[[2017]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1145\/3041021.3053903","relation":{},"subject":[],"published":{"date-parts":[[2017]]}}}