{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:41:57Z","timestamp":1760708517835},"publisher-location":"Berlin, Heidelberg","reference-count":23,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642372094"},{"type":"electronic","value":"9783642372100"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-37210-0_39","type":"book-chapter","created":{"date-parts":[[2013,3,2]],"date-time":"2013-03-02T00:59:56Z","timestamp":1362185996000},"page":"359-367","source":"Crossref","is-referenced-by-count":6,"title":["Which Targets to Contact First to Maximize Influence over Social Network"],"prefix":"10.1007","author":[{"given":"Kazumi","family":"Saito","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masahiro","family":"Kimura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kouzou","family":"Ohara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroshi","family":"Motoda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"doi-asserted-by":"crossref","unstructured":"Bakshy, E., Hofman, J., Mason, W., Watts, D.: Everyone\u2019s an influencer: Quantifying influences on twitter. In: Proceedings of the 4th International Conference on Web Search and Data Mining (WSDM 2011), pp. 65\u201374 (2011)","key":"39_CR1","DOI":"10.1145\/1935826.1935845"},{"doi-asserted-by":"crossref","unstructured":"Chen, W., Wang, C., Wang, Y.: Scalable influence maximization for prevalent viral marketing in large-scale social networks. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010), pp. 1029\u20131038 (2010)","key":"39_CR2","DOI":"10.1145\/1835804.1835934"},{"doi-asserted-by":"crossref","unstructured":"Chen, W., Yuan, Y., Zhang, L.: Scalable influence maximization in social networks under the linear threshold model. In: Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 2010), pp. 88\u201397 (2010)","key":"39_CR3","DOI":"10.1109\/ICDM.2010.118"},{"key":"39_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1007\/978-3-642-15037-1_18","volume-title":"Knowledge Management and Acquisition for Smart Systems and Services","author":"T. Fushimi","year":"2010","unstructured":"Fushimi, T., Saito, K., Kimura, M., Motoda, H., Ohara, K.: Finding relation between pageRank and voter model. In: Kang, B.-H., Richards, D. (eds.) PKAW 2010. LNCS, vol.\u00a06232, pp. 208\u2013222. Springer, Heidelberg (2010)"},{"unstructured":"Goyal, A., Lu, W., Lakshmanan, L.: Influence spread in large-scale social networks - a belief propagation approach. In: Proceedings of the 20th International World Wide Web Conference (WWW 2011), pp. 47\u201348 (2011)","key":"39_CR5"},{"key":"39_CR6","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1145\/1046456.1046462","volume":"6","author":"D. Gruhl","year":"2004","unstructured":"Gruhl, D., Guha, R., Liben-Nowell, D., Tomkins, A.: Information diffusion through blogspace. SIGKDD Explorations\u00a06, 43\u201352 (2004)","journal-title":"SIGKDD Explorations"},{"doi-asserted-by":"crossref","unstructured":"Kempe, D., Kleinberg, J., Tardos, E.: Maximizing the spread of influence through a social network. In: Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2003), pp. 137\u2013146 (2003)","key":"39_CR7","DOI":"10.1145\/956755.956769"},{"unstructured":"Kimura, M., Saito, K., Motoda, H.: Efficient estimation of influence functions fot sis model on social networks. In: Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI-2009) (2009)","key":"39_CR8"},{"unstructured":"Kimura, M., Saito, K., Nakano, R.: Extracting influential nodes for information diffusion on a social network. In: Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI-2007), pp. 1371\u20131376 (2007)","key":"39_CR9"},{"key":"39_CR10","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1007\/s10618-009-0150-5","volume":"20","author":"M. Kimura","year":"2010","unstructured":"Kimura, M., Saito, K., Nakano, R., Motoda, H.: Extracting influential nodes on a social network for information diffusion. Data Mining and Knowledge Discovery\u00a020, 70\u201397 (2010)","journal-title":"Data Mining and Knowledge Discovery"},{"issue":"11","key":"39_CR11","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1145\/1400214.1400232","volume":"51","author":"J. Kleinberg","year":"2008","unstructured":"Kleinberg, J.: The convergence of social and technological networks. Communications of ACM\u00a051(11), 66\u201372 (2008)","journal-title":"Communications of ACM"},{"key":"39_CR12","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/978-3-540-30115-8_22","volume-title":"Machine Learning: ECML 2004","author":"B. Klimt","year":"2004","unstructured":"Klimt, B., Yang, Y.: The enron corpus: A new dataset for email classification research. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) ECML 2004. LNCS (LNAI), vol.\u00a03201, pp. 217\u2013226. Springer, Heidelberg (2004)"},{"doi-asserted-by":"crossref","unstructured":"Leskovec, J., Adamic, L.A., Huberman, B.A.: The dynamics of viral marketing. In: Proceedings of the 7th ACM Conference on Electronic Commerce (EC 2006), pp. 228\u2013237 (2006)","key":"39_CR13","DOI":"10.1145\/1134707.1134732"},{"doi-asserted-by":"crossref","unstructured":"Leskovec, J., Krause, A., Guestrin, C., Faloutsos, C., VanBriesen, J., Glance, N.: Cost-effective outbreak detection in networks. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2007), pp. 420\u2013429 (2007)","key":"39_CR14","DOI":"10.1145\/1281192.1281239"},{"key":"39_CR15","doi-asserted-by":"publisher","first-page":"35101","DOI":"10.1103\/PhysRevE.66.035101","volume":"66","author":"M.E.J. Newman","year":"2002","unstructured":"Newman, M.E.J., Forrest, S., Balthrop, J.: Email networks and the spread of computer viruses. Physical Review E\u00a066, 035101 (2002)","journal-title":"Physical Review E"},{"key":"39_CR16","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1007\/978-3-642-33486-3_33","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"H. Nguyen","year":"2012","unstructured":"Nguyen, H., Zheng, R.: Influence spread in large-scale social networks \u2013 A belief propagation approach. In: Flach, P.A., De Bie, T., Cristianini, N. (eds.) ECML PKDD 2012, Part II. LNCS (LNAI), vol.\u00a07524, pp. 515\u2013530. Springer, Heidelberg (2012)"},{"key":"39_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/978-3-642-29047-3_16","volume-title":"Social Computing, Behavioral - Cultural Modeling and Prediction","author":"K. Ohara","year":"2012","unstructured":"Ohara, K., Saito, K., Kimura, M., Motoda, H.: Effect of in\/Out-degree correlation on influence degree of two contrasting information diffusion models. In: Yang, S.J., Greenberg, A.M., Endsley, M. (eds.) SBP 2012. LNCS, vol.\u00a07227, pp. 131\u2013138. Springer, Heidelberg (2012)"},{"doi-asserted-by":"crossref","unstructured":"Richardson, M., Domingos, P.: Mining knowledge-sharing sites for viral marketing. In: Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2002), pp. 61\u201370 (2002)","key":"39_CR18","DOI":"10.1145\/775047.775057"},{"key":"39_CR19","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1007\/978-3-642-04747-3_24","volume-title":"Discovery Science","author":"K. Saito","year":"2009","unstructured":"Saito, K., Kimura, M., Motoda, H.: Discovering influential nodes for sis models in social networks. In: Gama, J., Costa, V.S., Jorge, A.M., Brazdil, P.B. (eds.) DS 2009. LNCS (LNAI), vol.\u00a05808, pp. 302\u2013316. Springer, Heidelberg (2009)"},{"key":"39_CR20","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1007\/978-3-642-05224-8_25","volume-title":"Advances in Machine Learning","author":"K. Saito","year":"2009","unstructured":"Saito, K., Kimura, M., Ohara, K., Motoda, H.: Learning continuous-time information diffusion model for social behavioral data analysis. In: Zhou, Z.-H., Washio, T. (eds.) ACML 2009. LNCS (LNAI), vol.\u00a05828, pp. 322\u2013337. Springer, Heidelberg (2009)"},{"key":"39_CR21","first-page":"517","volume-title":"Proceedings of the Twenty-Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI 2010)","author":"D. Sheldon","year":"2010","unstructured":"Sheldon, D., Dilkina, B., Elmachtoub, A., Finseth, R., Sabharwal, A., Conrad, J., Gomes, C., Shmoys, D., Allen, W., Amundsen, O., Vaughan, W.: Maximizing the spread of cascades using network design. In: Proceedings of the Twenty-Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI 2010), pp. 517\u2013526. AUAI Press, Corvallis (2010)"},{"key":"39_CR22","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1086\/518527","volume":"34","author":"D.J. Watts","year":"2007","unstructured":"Watts, D.J., Dodds, P.S.: Influence, networks, and public opinion formation. Journal of Consumer Research\u00a034, 441\u2013458 (2007)","journal-title":"Journal of Consumer Research"},{"key":"39_CR23","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"548","DOI":"10.1007\/978-3-642-33486-3_35","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"Y. Yang","year":"2012","unstructured":"Yang, Y., Chen, E., Liu, Q., Xiang, B., Xu, T., Shad, S.A.: On approximation of real-world influence spread. In: Flach, P.A., De Bie, T., Cristianini, N. (eds.) ECML PKDD 2012, Part II. LNCS (LNAI), vol.\u00a07524, pp. 548\u2013564. Springer, Heidelberg (2012)"}],"container-title":["Lecture Notes in Computer Science","Social Computing, Behavioral-Cultural Modeling and Prediction"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-37210-0_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,11]],"date-time":"2019-05-11T09:48:12Z","timestamp":1557568092000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-37210-0_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642372094","9783642372100"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-37210-0_39","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}