{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T11:30:11Z","timestamp":1778499011224,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,8,27]],"date-time":"2019-08-27T00:00:00Z","timestamp":1566864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,8,27]]},"DOI":"10.1145\/3341161.3342866","type":"proceedings-article","created":{"date-parts":[[2020,1,15]],"date-time":"2020-01-15T21:07:04Z","timestamp":1579122424000},"page":"73-80","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Perturb and combine to identify influential spreaders in real-world networks"],"prefix":"10.1145","author":[{"given":"Antoine J.-P.","family":"Tixier","sequence":"first","affiliation":[{"name":"\u00c9cole Polytechnique, Palaiseau, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria Evgenia G.","family":"Rossi","sequence":"additional","affiliation":[{"name":"\u00c9cole Polytechnique, Palaiseau, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fragkiskos D.","family":"Malliaros","sequence":"additional","affiliation":[{"name":"Centrale-Sup\u00e9lec, Gif-sur-Yvette, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jesse","family":"Read","sequence":"additional","affiliation":[{"name":"\u00c9cole Polytechnique, Palaiseau, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michalis","family":"Vazirgiannis","sequence":"additional","affiliation":[{"name":"\u00c9cole Polytechnique, Palaiseau, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,1,15]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Perturb and combine to identify influential spreaders in real-world networks,\" arXiv preprint arXiv:1807.09586","author":"Tixier A. J.-P.","year":"2018","unstructured":"A. J.-P. Tixier , M.-E. G. Rossi , F. D. Malliaros , J. Read , and M. Vazirgiannis , \" Perturb and combine to identify influential spreaders in real-world networks,\" arXiv preprint arXiv:1807.09586 , 2018 . A. J.-P. Tixier, M.-E. G. Rossi, F. D. Malliaros, J. Read, and M. Vazirgiannis, \"Perturb and combine to identify influential spreaders in real-world networks,\" arXiv preprint arXiv:1807.09586, 2018."},{"key":"e_1_3_2_1_2_1","volume-title":"Siam","volume":"20","author":"Hoppensteadt F.","year":"1975","unstructured":"F. Hoppensteadt , Mathematical Theories of Populations : Demographics, Genetics, and Epidemics . Siam , 1975 , vol. 20 . F. Hoppensteadt, Mathematical Theories of Populations: Demographics, Genetics, and Epidemics. Siam, 1975, vol. 20."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1232722.1232727"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep05547"},{"key":"e_1_3_2_1_5_1","first-page":"43","volume-title":"ACM","author":"Balog K.","year":"2006","unstructured":"K. Balog , L. Azzopardi , and M. De Rijke , \" Formal models for expert finding in enterprise corpora,\" in Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval . ACM , 2006 , pp. 43 -- 50 . K. Balog, L. Azzopardi, and M. De Rijke, \"Formal models for expert finding in enterprise corpora,\" in Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval. ACM, 2006, pp. 43--50."},{"key":"e_1_3_2_1_6_1","first-page":"1860","article-title":"A graph degeneracy-based approach to keyword extraction,\" in Proceedings of the 2016 Conference on Empirical Methods","author":"Tixier A.","year":"2016","unstructured":"A. Tixier , F. Malliaros , and M. Vazirgiannis , \" A graph degeneracy-based approach to keyword extraction,\" in Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing , 2016 , pp. 1860 -- 1870 . A. Tixier, F. Malliaros, and M. Vazirgiannis, \"A graph degeneracy-based approach to keyword extraction,\" in Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016, pp. 1860--1870.","journal-title":"Natural Language Processing"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1038\/nphys1746"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.90.032812"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep19307"},{"key":"e_1_3_2_1_10_1","volume-title":"The core decomposition of networks: Theory, algorithms and applications","author":"Malliaros F.","year":"2019","unstructured":"F. Malliaros , C. Giatsidis , A. Papadopoulos , and M. Vazirgiannis , \" The core decomposition of networks: Theory, algorithms and applications ,\" 2019 . F. Malliaros, C. Giatsidis, A. Papadopoulos, and M. Vazirgiannis, \"The core decomposition of networks: Theory, algorithms and applications,\" 2019."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/0378-8733(83)90028-X"},{"key":"e_1_3_2_1_12_1","volume-title":"Generalized cores,\" arXiv preprint cs\/0202039","author":"Batagelj V.","year":"2002","unstructured":"V. Batagelj and M. Zaver\u0161nik , \" Generalized cores,\" arXiv preprint cs\/0202039 , 2002 . V. Batagelj and M. Zaver\u0161nik, \"Generalized cores,\" arXiv preprint cs\/0202039, 2002."},{"key":"e_1_3_2_1_13_1","first-page":"541","volume-title":"Springer","author":"Adiga A.","year":"2013","unstructured":"A. Adiga and A. K. S. Vullikanti , \"How robust is the core of a network?\" in Joint European Conference on Machine Learning and Knowledge Discovery in Databases . Springer , 2013 , pp. 541 -- 556 . A. Adiga and A. K. S. Vullikanti, \"How robust is the core of a network?\" in Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 2013, pp. 541--556."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.73.056101"},{"key":"e_1_3_2_1_15_1","volume-title":"variance, and arcing classifiers","author":"Breiman L.","year":"1996","unstructured":"L. Breiman , \"Bias , variance, and arcing classifiers ,\" 1996 . L. Breiman, \"Bias, variance, and arcing classifiers,\" 1996."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_2_1_18_1","first-page":"17","article-title":"On the evolution of random graphs","volume":"5","author":"Erd\u00f6s P.","year":"1960","unstructured":"P. Erd\u00f6s and A. R\u00e9nyi , \" On the evolution of random graphs ,\" Publ. Math. Inst. Hung. Acad. Sci , vol. 5 , pp. 17 -- 61 , 1960 . P. Erd\u00f6s and A. R\u00e9nyi, \"On the evolution of random graphs,\" Publ. Math. Inst. Hung. Acad. Sci, vol. 5, pp. 17--61, 1960.","journal-title":"Publ. Math. Inst. Hung. Acad. Sci"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.252631999"},{"key":"e_1_3_2_1_20_1","unstructured":"I. C. Ipsen and R. S. Wills \"Mathematical properties and analysis of google\u00e2\u0102Źs pagerank.\"  I. C. Ipsen and R. S. Wills \"Mathematical properties and analysis of google\u00e2\u0102Źs pagerank.\""},{"key":"e_1_3_2_1_21_1","first-page":"903","volume-title":"LAWRENCE ERLBAUM ASSOCIATES LTD","author":"Ng A. Y.","year":"2001","unstructured":"A. Y. Ng , A. X. Zheng , and M. I. Jordan , \" Link analysis, eigenvectors and stability,\" in International Joint Conference on Artificial Intelligence, vol. 17, no. 1 . LAWRENCE ERLBAUM ASSOCIATES LTD , 2001 , pp. 903 -- 910 . A. Y. Ng, A. X. Zheng, and M. I. Jordan, \"Link analysis, eigenvectors and stability,\" in International Joint Conference on Artificial Intelligence, vol. 17, no. 1. LAWRENCE ERLBAUM ASSOCIATES LTD, 2001, pp. 903--910."},{"key":"e_1_3_2_1_23_1","volume-title":"Jun.","author":"Leskovec J.","year":"2014","unstructured":"J. Leskovec and A. Krevl , \" SNAP Datasets: Stanford large network dataset collection,\" http:\/\/snap.stanford.edu\/data , Jun. 2014 . J. Leskovec and A. Krevl, \"SNAP Datasets: Stanford large network dataset collection,\" http:\/\/snap.stanford.edu\/data, Jun. 2014."},{"key":"e_1_3_2_1_24_1","first-page":"217","volume-title":"The enron corpus: A new dataset for email classification research,\" ECML '04: Proceedings of the 15th European Conference on Machine Learning","author":"Klimt B.","year":"2004","unstructured":"B. Klimt and Y. Yang , \" The enron corpus: A new dataset for email classification research,\" ECML '04: Proceedings of the 15th European Conference on Machine Learning , pp. 217 -- 226 , 2004 . B. Klimt and Y. Yang, \"The enron corpus: A new dataset for email classification research,\" ECML '04: Proceedings of the 15th European Conference on Machine Learning, pp. 217--226, 2004."},{"key":"e_1_3_2_1_25_1","first-page":"55","volume-title":"JSTOR","author":"Kermack W. O.","year":"1932","unstructured":"W. O. Kermack and A. G. McKendrick , \" Contributions to the mathematical theory of epidemics. ii. the problem of endemicity,\" vol. 138, no. 834 . JSTOR , 1932 , pp. 55 -- 83 . W. O. Kermack and A. G. McKendrick, \"Contributions to the mathematical theory of epidemics. ii. the problem of endemicity,\" vol. 138, no. 834. JSTOR, 1932, pp. 55--83."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/1284680.1284681"},{"key":"e_1_3_2_1_27_1","volume-title":"TextRank: bringing order into texts,\" in Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing (EMNLP)","author":"Mihalcea R.","year":"2004","unstructured":"R. Mihalcea and P. Tarau , \" TextRank: bringing order into texts,\" in Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics , 2004 . R. Mihalcea and P. Tarau, \"TextRank: bringing order into texts,\" in Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, 2004."},{"key":"e_1_3_2_1_28_1","first-page":"151","volume-title":"Gowvis: a web application for graph-of-words-based text visualization and summarization,\" Proceedings of ACL-2016 System Demonstrations","author":"Tixier A.","year":"2016","unstructured":"A. Tixier , K. Skianis , and M. Vazirgiannis , \" Gowvis: a web application for graph-of-words-based text visualization and summarization,\" Proceedings of ACL-2016 System Demonstrations , pp. 151 -- 156 , 2016 . A. Tixier, K. Skianis, and M. Vazirgiannis, \"Gowvis: a web application for graph-of-words-based text visualization and summarization,\" Proceedings of ACL-2016 System Demonstrations, pp. 151--156, 2016."},{"key":"e_1_3_2_1_29_1","first-page":"216","volume-title":"Association for Computational Linguistics","author":"Hulth A.","year":"2003","unstructured":"A. Hulth , \"Improved automatic keyword extraction given more linguistic knowledge,\" in Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics , 2003 , pp. 216 -- 223 . A. Hulth, \"Improved automatic keyword extraction given more linguistic knowledge,\" in Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, 2003, pp. 216--223."},{"key":"e_1_3_2_1_30_1","first-page":"382","volume-title":"Main core retention on graph-of-words for single-document keyword extraction,\" in European Conference on Information Retrieval","author":"Rousseau F.","year":"2015","unstructured":"F. Rousseau and M. Vazirgiannis , \" Main core retention on graph-of-words for single-document keyword extraction,\" in European Conference on Information Retrieval . Springer , 2015 , pp. 382 -- 393 . F. Rousseau and M. Vazirgiannis, \"Main core retention on graph-of-words for single-document keyword extraction,\" in European Conference on Information Retrieval. Springer, 2015, pp. 382--393."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/582415.582418"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000027783.34431.42"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1080\/095400996116811"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-3324-9"},{"key":"e_1_3_2_1_35_1","volume-title":"Adversarial attacks on neural networks for graph data,\" arXiv preprint arXiv:1805.07984","author":"Z\u00fcgner D.","year":"2018","unstructured":"D. Z\u00fcgner , A. Akbarnejad , and S. G\u00fcnnemann , \" Adversarial attacks on neural networks for graph data,\" arXiv preprint arXiv:1805.07984 , 2018 . D. Z\u00fcgner, A. Akbarnejad, and S. G\u00fcnnemann, \"Adversarial attacks on neural networks for graph data,\" arXiv preprint arXiv:1805.07984, 2018."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms1396"},{"key":"e_1_3_2_1_37_1","first-page":"1097","volume-title":"Imagenet classification with deep convolutional neural networks,\" in Advances in neural information processing systems","author":"Krizhevsky A.","year":"2012","unstructured":"A. Krizhevsky , I. Sutskever , and G. E. Hinton , \" Imagenet classification with deep convolutional neural networks,\" in Advances in neural information processing systems , 2012 , pp. 1097 -- 1105 . A. Krizhevsky, I. Sutskever, and G. E. Hinton, \"Imagenet classification with deep convolutional neural networks,\" in Advances in neural information processing systems, 2012, pp. 1097--1105."},{"key":"e_1_3_2_1_38_1","volume-title":"Efficient estimation of word representations in vector space,\" arXiv preprint arXiv:1301.3781","author":"Mikolov T.","year":"2013","unstructured":"T. Mikolov , K. Chen , G. Corrado , and J. Dean , \" Efficient estimation of word representations in vector space,\" arXiv preprint arXiv:1301.3781 , 2013 . T. Mikolov, K. Chen, G. Corrado, and J. Dean, \"Efficient estimation of word representations in vector space,\" arXiv preprint arXiv:1301.3781, 2013."}],"event":{"name":"ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining","location":"Vancouver British Columbia Canada","acronym":"ASONAM '19","sponsor":["SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","IEEE CS"]},"container-title":["Proceedings of the 2019 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3341161.3342866","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3341161.3342866","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:38:25Z","timestamp":1750199905000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3341161.3342866"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,27]]},"references-count":37,"alternative-id":["10.1145\/3341161.3342866","10.1145\/3341161"],"URL":"https:\/\/doi.org\/10.1145\/3341161.3342866","relation":{},"subject":[],"published":{"date-parts":[[2019,8,27]]},"assertion":[{"value":"2020-01-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}