{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T16:53:31Z","timestamp":1732035211232},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2014,8,29]],"date-time":"2014-08-29T00:00:00Z","timestamp":1409270400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soc. Netw. Anal. Min."],"published-print":{"date-parts":[[2014,12]]},"DOI":"10.1007\/s13278-014-0231-3","type":"journal-article","created":{"date-parts":[[2014,8,28]],"date-time":"2014-08-28T09:31:50Z","timestamp":1409218310000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Detecting anomalies in social network data consumption"],"prefix":"10.1007","volume":"4","author":[{"given":"Cuneyt Gurcan","family":"Akcora","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Barbara","family":"Carminati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena","family":"Ferrari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Murat","family":"Kantarcioglu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,8,29]]},"reference":[{"key":"231_CR1","doi-asserted-by":"crossref","unstructured":"Akcora CG, Carminati B, Ferrari E (2012) Risks of friendships on social networks. In: Data Mining (ICDM), 2012 IEEE 12th International Conference","DOI":"10.1109\/ICDM.2012.57"},{"key":"231_CR2","unstructured":"Akcora CG, Carminati B, Ferrari E, Kantarcioglu M (2014) Twitter diff dataset: friends of users in 2009 and 2013. http:\/\/strict.dista.uninsubria.it\/?p=364 , 2014"},{"key":"231_CR3","unstructured":"Akcora CG, Carminati B, Ferrari E, Kantarcioglu M (2014) Twitter taf dataset: detecting topically anomalous friendships. http:\/\/strict.dista.uninsubria.it\/?p=442 , 2014"},{"key":"231_CR4","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1145\/2380718.2380720","volume":"2012","author":"P Anantharam","year":"2012","unstructured":"Anantharam P, Sheth A (2012) Topical anomaly detection from twitter stream. Proc ACM Web Sci 2012:11\u201314","journal-title":"Proc ACM Web Sci"},{"key":"231_CR5","first-page":"993","volume":"3","author":"D Blei","year":"2003","unstructured":"Blei D, Ng A, Jordan M (2003) Latent dirichlet allocation. J Mac Learn Res 3:993\u20131022","journal-title":"J Mac Learn Res"},{"issue":"1","key":"231_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jocs.2010.12.007","volume":"2","author":"J Bollen","year":"2011","unstructured":"Bollen J, Mao H, Zeng X (2011) Twitter mood predicts the stock market. J Comput Sci 2(1):1\u20138","journal-title":"J Comput Sci"},{"key":"231_CR7","doi-asserted-by":"crossref","unstructured":"Cataldi M, Di Caro L, Schifanella C (2010) Emerging topic detection on twitter based on temporal and social terms evaluation. In: Proceedings of the Tenth International Workshop on Multimedia Data Mining. ACM, p 4","DOI":"10.1145\/1814245.1814249"},{"issue":"3","key":"231_CR8","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1145\/1541880.1541882","volume":"41","author":"V Chandola","year":"2009","unstructured":"Chandola V, Banerjee A, Kumar V (2009) Anomaly detection: a survey. ACM Comput Surv (CSUR) 41(3):15","journal-title":"ACM Comput Surv (CSUR)"},{"key":"231_CR9","doi-asserted-by":"crossref","unstructured":"Choudhury MD (2011) Tie formation on twitter: homophily and structure of egocentric networks. In: SocialCom\/PASSAT, p 465\u2013470","DOI":"10.1109\/PASSAT\/SocialCom.2011.177"},{"key":"231_CR10","doi-asserted-by":"crossref","unstructured":"Chu Z, Gianvecchio S, Wang H, Jajodia S (2010) Who is tweeting on twitter: human, bot, or cyborg? In: Proceedings of the 26th Annual Computer Security Applications Conference, ACM, p 21\u201330","DOI":"10.1145\/1920261.1920265"},{"key":"231_CR11","first-page":"212","volume":"2","author":"JL Fleiss","year":"1981","unstructured":"Fleiss JL, Levin B, Paik MC (1981) The measurement of interrater agreement. Stat Methods Rates Proportions 2:212\u2013236","journal-title":"Stat Methods Rates Proportions"},{"key":"231_CR12","doi-asserted-by":"crossref","unstructured":"Gan G, Ma C, Wu J (2007) Data clustering. SIAM, Society for Industrial and Applied Mathematics","DOI":"10.1137\/1.9780898718348.ch1"},{"key":"231_CR13","doi-asserted-by":"crossref","unstructured":"Hong L, Davison B (2010) Empirical study of topic modeling in twitter. In: Proceedings of the First Workshop on Social Media Analytics, ACM, p 80\u201388","DOI":"10.1145\/1964858.1964870"},{"key":"231_CR14","doi-asserted-by":"crossref","unstructured":"Kwak H, Lee C, Park H, Moon S (2010) What is Twitter, a social network or a news media? In WWW \u201910: Proceedings of the 19th international conference on World wide web, ACM, New York, NY, USA, p 591\u2013600","DOI":"10.1145\/1772690.1772751"},{"key":"231_CR15","unstructured":"Lee S, Kim J (2012) Warningbird: detecting suspicious urls in twitter stream. In: Symposium on Network and Distributed System Security (NDSS)"},{"key":"231_CR16","doi-asserted-by":"crossref","unstructured":"Leetaru K, Wang S, Cao G, Padmanabhan A, Shook E (2013) Mapping the global twitter heartbeat: The geography of twitter. First Monday 18(5)","DOI":"10.5210\/fm.v18i5.4366"},{"key":"231_CR17","doi-asserted-by":"crossref","unstructured":"Lucia W, Akcora CG, Ferrari E (2013) Multi-dimensional conversation analysis across online social networks. In: Cloud and Green Computing (CGC), 2013 Third International Conference, IEEE, p 369\u2013376","DOI":"10.1109\/CGC.2013.65"},{"key":"231_CR18","doi-asserted-by":"crossref","unstructured":"Mathioudakis M, Koudas N (2010) Twittermonitor: trend detection over the twitter stream. In: Proceedings of the 2010 international conference on Management of data. ACM, p 1155\u20131158","DOI":"10.1145\/1807167.1807306"},{"key":"231_CR19","doi-asserted-by":"crossref","unstructured":"McPherson M, Smith-Lovin L, Cook JM (2001) Birds of a feather: homophily in social networks. Ann Rev Sociol 415\u2013444","DOI":"10.1146\/annurev.soc.27.1.415"},{"key":"231_CR20","doi-asserted-by":"crossref","unstructured":"Meeder B, Karrer B, Sayedi A, Ravi R, Borgs C, Chayes J (2011) We know who you followed last summer: inferring social link creation times in twitter. In: Proceedings of the 20th international conference on World wide web. ACM, p 517\u2013526","DOI":"10.1145\/1963405.1963479"},{"key":"231_CR21","unstructured":"Pak A, Paroubek P (2010) Twitter as a corpus for sentiment analysis and opinion mining. In: Proceedings of LREC, vol 2010"},{"issue":"1","key":"231_CR22","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/s13174-010-0003-x","volume":"1","author":"P Papadimitriou","year":"2010","unstructured":"Papadimitriou P, Dasdan A, Garcia-Molina H (2010) Web graph similarity for anomaly detection. J Internet Serv Appl 1(1):19\u201330","journal-title":"J Internet Serv Appl"},{"key":"231_CR23","doi-asserted-by":"crossref","unstructured":"Ramage D, Dumais S, Liebling D (2010) Characterizing microblogs with topic models. In: ICWSM","DOI":"10.1609\/icwsm.v4i1.14026"},{"key":"231_CR24","doi-asserted-by":"crossref","unstructured":"Sakaki T, Okazaki M, Matsuo Y (2010) Earthquake shakes twitter users: real-time event detection by social sensors. In: Proceedings of the 19th international conference on World wide web. ACM, p 851\u2013860","DOI":"10.1145\/1772690.1772777"},{"key":"231_CR25","doi-asserted-by":"crossref","unstructured":"Takahashi T, Tomioka R, Yamanishi K (2011) Discovering emerging topics in social streams via link anomaly detection. In Data Mining (ICDM), 2011 IEEE 11th International Conference. IEEE, p 1230\u20131235","DOI":"10.1109\/ICDM.2011.53"},{"key":"231_CR26","unstructured":"Thomases H (2010) Twitter marketing: an hour a day. Sybex"},{"issue":"16","key":"231_CR27","doi-asserted-by":"crossref","first-page":"4165","DOI":"10.1016\/j.physa.2011.12.021","volume":"391","author":"AL Traud","year":"2012","unstructured":"Traud AL, Mucha PJ, Porter MA (2012) Social structure of facebook networks. Phys A Stat Mech Appl 391(16):4165\u20134180","journal-title":"Phys A Stat Mech Appl"},{"key":"231_CR28","doi-asserted-by":"crossref","unstructured":"Zhao W, Jiang J, Weng J, He J, Lim E-P, Yan H, Li X (2011) Comparing twitter and traditional media using topic models. Adv Inf Retr 338\u2013349","DOI":"10.1007\/978-3-642-20161-5_34"}],"container-title":["Social Network Analysis and Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13278-014-0231-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13278-014-0231-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13278-014-0231-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T08:08:08Z","timestamp":1689494888000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13278-014-0231-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,8,29]]},"references-count":28,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2014,12]]}},"alternative-id":["231"],"URL":"https:\/\/doi.org\/10.1007\/s13278-014-0231-3","relation":{},"ISSN":["1869-5450","1869-5469"],"issn-type":[{"value":"1869-5450","type":"print"},{"value":"1869-5469","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,8,29]]},"article-number":"231"}}