{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:07:55Z","timestamp":1750306075837,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":29,"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:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1145\/3105831.3105832","type":"proceedings-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T19:35:01Z","timestamp":1501270501000},"page":"253-263","source":"Crossref","is-referenced-by-count":6,"title":["DyadChurn"],"prefix":"10.1145","author":[{"given":"Marwa N.","family":"Abd-Allah","sequence":"first","affiliation":[{"name":"Dept. of Computers and Information, Cairo University, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samhaa R.","family":"El-Beltagy","sequence":"additional","affiliation":[{"name":"Dept. of Computers and Information, Nile University, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akram","family":"Salah","sequence":"additional","affiliation":[{"name":"Dept. of Computers and Information, Cairo University, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","reference":[{"key":"key-10.1145\/3105831.3105832-1","unstructured":"Abd-Allah, M.N., Salah, A. and El-Beltagy, S.R. 2014. Enhanced Customer Churn Prediction using Social Network Analysis. Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media (2014), 11--12."},{"key":"key-10.1145\/3105831.3105832-2","doi-asserted-by":"crossref","unstructured":"Ahn, J.-H., Han, S.-P. and Lee, Y.-S. 2006. Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry. Telecommunications Policy. 30, 10 (Nov. 2006), 552--568.","DOI":"10.1016\/j.telpol.2006.09.006"},{"key":"key-10.1145\/3105831.3105832-3","doi-asserted-by":"crossref","unstructured":"Berger, E. 2001. Dynamic monopolies of constant size. Journal of Combinatorial Theory, Series B. 83, 2 (2001), 10.","DOI":"10.1006\/jctb.2001.2045"},{"key":"key-10.1145\/3105831.3105832-4","unstructured":"Clemente, M., Giner-Bosch, V. and San Mat&#237;as, S. 2010. Assessing classification methods for churn prediction by composite indicators. Manuscript, Dept. of Applied Statistics, OR & Quality, Universitat Polit&#232;cnica de Val&#232;ncia, Camino de Vera s\/n. 46022, (2010)."},{"key":"key-10.1145\/3105831.3105832-5","doi-asserted-by":"crossref","unstructured":"Dasgupta, K., Singh, R., Viswanathan, B., Chakraborty, D., Mukherjea, S., Nanavati, A.A. and Joshi, A. 2008. Social ties and their relevance to churn in mobile telecom networks. Proceedings of the 11th international conference on Extending database technology: Advances in database technology (New York, New York, USA, 2008), 668--677.","DOI":"10.1145\/1353343.1353424"},{"key":"key-10.1145\/3105831.3105832-6","unstructured":"Dawson, R. 2011. How Significant Is A Boxplot Outlier? Journal of Statistics Education. 19, 2 (2011), 1--13."},{"key":"key-10.1145\/3105831.3105832-7","unstructured":"Doran, D., Mendiratta, V., Phadke, C. and Uzunalioglu, H. 2011. Examining the Social Decomposition of Mobile Call Graphs. 2nd Conference on the Analysis of Mobile Phone Datasets (NetMob 11), Cambridge, MA (2011)."},{"key":"key-10.1145\/3105831.3105832-8","unstructured":"Doran, D., Mendiratta, V., Phadke, C. and Uzunalioglu, H. 2012. The Importance of Outlier Relationships in Mobile Call Graphs. Machine Learning and Applications (ICMLA), 2012 11th International Conference on (2012), 24--29."},{"key":"key-10.1145\/3105831.3105832-9","unstructured":"Dror, G., Boull&#233;, M., Guyon, I., Lemaire, V. and Vogel, D. 2011. The 2009 Knowledge Discovery and Data Mining Competition (KDD Cup 2009). (2011)."},{"key":"key-10.1145\/3105831.3105832-10","doi-asserted-by":"crossref","unstructured":"Fan, W. and Bifet, A. 2013. Mining Big Data?: Current Status, and Forecast to the Future. ACM SIGKDD Explorations Newsletter. 14, 2 (2013), 1--5.","DOI":"10.1145\/2481244.2481246"},{"key":"key-10.1145\/3105831.3105832-11","doi-asserted-by":"crossref","unstructured":"Granovetter, M. 1973. The Strength of Weak Ties. American journal of sociology. 78, 6 (1973), 1360--1380.","DOI":"10.1086\/225469"},{"key":"key-10.1145\/3105831.3105832-12","doi-asserted-by":"crossref","unstructured":"Granovetter, M. 1978. Threshold Models of Collective Behavior. American journal of sociology. 83, 6 (1978), 1420--1443.","DOI":"10.1086\/226707"},{"key":"key-10.1145\/3105831.3105832-13","unstructured":"Guille, A., Hacid, H., Favre, C. and Zighed, D.A. 2013. Information diffusion in online social networks: A survey. ACM SIGMOD Record. 42, 1 (May 2013), 17."},{"key":"key-10.1145\/3105831.3105832-14","doi-asserted-by":"crossref","unstructured":"Hung, S.-Y., Yen, D.C. and Wang, H.-Y. 2006. Applying data mining to telecom churn management. Expert Systems with Applications. 31, 3 (Oct. 2006), 515--524.","DOI":"10.1016\/j.eswa.2005.09.080"},{"key":"key-10.1145\/3105831.3105832-15","unstructured":"International Telecommunication Union (ITU) 2015. Measuring the Information Society Report 2015 Executive Summary."},{"key":"key-10.1145\/3105831.3105832-16","unstructured":"KDD Cup 2009: Customer relationship prediction | Sig KDD: http:\/\/www.sigkdd.org\/kdd-cup-2009-customer-relationship-prediction. Accessed: 2014-03-28."},{"key":"key-10.1145\/3105831.3105832-17","doi-asserted-by":"crossref","unstructured":"Kempe, D., Kleinberg, J. and Tardos, &#201;. 2003. Maximizing the spread of influence through a social network. Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03 (New York, New York, USA, 2003), 137--146.","DOI":"10.1145\/956750.956769"},{"key":"key-10.1145\/3105831.3105832-18","doi-asserted-by":"crossref","unstructured":"Morris, S. 2000. Contagion. The Review of Economic Studies. 67, 1 (2000).","DOI":"10.1111\/1467-937X.00121"},{"key":"key-10.1145\/3105831.3105832-19","unstructured":"Nanavati, A.A., Gurumurthy, S., Das, G., Chakraborty, D., Dasgupta, K., Mukherjea, S. and Joshi, A. 2006. On the Structural Properties of Massive Telecom Call Graphs: Findings and Implications. Proceedings of the 15th ACM international conference on Information and knowledge management (2006), 435--444."},{"key":"key-10.1145\/3105831.3105832-20","doi-asserted-by":"crossref","unstructured":"Onnela, J.-P., Saram&#228;ki, J., Hyv&#246;nen, J., Szab&#243;, G., Lazer, D., Kaski, K., Kert&#233;sz, J. and Barab&#225;si, a-L. 2007. Structure and tie strengths in mobile communication networks. Proceedings of the National Academy of Sciences of the United States of America. 104, 18 (May 2007), 7332--6.","DOI":"10.1073\/pnas.0610245104"},{"key":"key-10.1145\/3105831.3105832-21","unstructured":"Peleg, D. 1997. Local majority voting, small coalitions and controlling monopolies in graphs: A review. Proc. of 3rd Colloquium on Structural Information and Communication Complexity (1997), 152--169."},{"key":"key-10.1145\/3105831.3105832-22","doi-asserted-by":"crossref","unstructured":"Phadke, C., Uzunalioglu, H., Mendiratta, V.B., Kushnir, D. and Doran, D. 2013. Prediction of Subscriber Churn Using Social Network Analysis. Bell Labs Technical Journal. 17, 4 (2013), 63--75.","DOI":"10.1002\/bltj.21575"},{"key":"key-10.1145\/3105831.3105832-23","unstructured":"Phua, C., Cao, H., Gomes, J.B. and Nguyen, M.N. 2012. Predicting Near-Future Churners and Win-Backs in the Telecommunications Industry. arXiv preprint arXiv:1210.6891. (2012), 1--4."},{"key":"key-10.1145\/3105831.3105832-24","unstructured":"Richter, Y., Yom-Tov, E. and Slonim, N. 2010. Predicting customer churn in mobile networks through analysis of social groups. SDM (2010), 732--741."},{"key":"key-10.1145\/3105831.3105832-25","unstructured":"SNAP: A general purpose network analysis and graph mining library in C++: 2014. http:\/\/snap.stanford.edu\/snap. Accessed: 2015-11-25."},{"key":"key-10.1145\/3105831.3105832-26","unstructured":"The R Project for Statistical Computing: https:\/\/www.r-project.org\/. Accessed: 2015-11-25."},{"key":"key-10.1145\/3105831.3105832-27","doi-asserted-by":"crossref","unstructured":"Wei, C.-P. and Chiu, I.-T. 2002. Turning telecommunications call details to churn prediction: a data mining approach. Expert systems with applications. 23, 2 (2002), 103--112.","DOI":"10.1016\/S0957-4174(02)00030-1"},{"key":"key-10.1145\/3105831.3105832-28","unstructured":"Weka 3 - Data Mining with Open Source Machine Learning Software in Java: http:\/\/www.cs.waikato.ac.nz\/ml\/weka\/. Accessed: 2015-12-25."},{"key":"key-10.1145\/3105831.3105832-29","unstructured":"Witten, I.H. and Frank, E. 2005. Data Mining: Practical machine learning tools and techniques."}],"event":{"number":"21","sponsor":["Univ of the West of England, University of the West of England","BytePress","Concordia University"],"acronym":"IDEAS 2017","name":"the 21st International Database Engineering & Applications Symposium","start":{"date-parts":[[2017,7,12]]},"location":"Bristol, United Kingdom","end":{"date-parts":[[2017,7,14]]}},"container-title":["Proceedings of the 21st International Database Engineering &amp; Applications Symposium on   - IDEAS 2017"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3105831.3105832","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3105832&ftid=1896576&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:30:03Z","timestamp":1750217403000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3105831.3105832"}},"subtitle":["Customer Churn Prediction using Strong Social Ties"],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1145\/3105831.3105832","relation":{},"subject":[],"published":{"date-parts":[[2017]]}}}