{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T03:15:21Z","timestamp":1752549321781,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030934088"},{"type":"electronic","value":"9783030934095"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-93409-5_25","type":"book-chapter","created":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T03:18:22Z","timestamp":1641007102000},"page":"297-308","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Selecting Informative Features for Post-hoc Community Explanation"],"prefix":"10.1007","author":[{"given":"Sophie","family":"Sadler","sequence":"first","affiliation":[]},{"given":"Derek","family":"Greene","sequence":"additional","affiliation":[]},{"given":"Daniel","family":"Archambault","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,1]]},"reference":[{"issue":"10","key":"25_CR1","doi-asserted-by":"publisher","first-page":"P10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","volume":"2008","author":"VD Blondel","year":"2008","unstructured":"Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech. Theory Exp. 2008(10), P10008 (2008)","journal-title":"J. Stat. Mech. Theory Exp."},{"issue":"1","key":"25_CR2","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001). https:\/\/doi.org\/10.1023\/A:1010933404324","journal-title":"Mach. Learn."},{"issue":"2","key":"25_CR3","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1017\/S0033291717001751","volume":"48","author":"RC Brown","year":"2017","unstructured":"Brown, R.C., Fischer, T., Goldwich, A.D., Keller, F., Young, R., Plener, P.L.: #cutting: non-suicidal self-injury (NSSI) on Instagram. Psychol. Med. 48(2), 337\u2013346 (2017)","journal-title":"Psychol. Med."},{"issue":"1","key":"25_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/srep01825","volume":"3","author":"T Chakraborty","year":"2013","unstructured":"Chakraborty, T., Srinivasan, S., Ganguly, N., Bhowmick, S., Mukherjee, A.: Constant communities in complex networks. Sci. Rep. 3(1), 1\u20139 (2013)","journal-title":"Sci. Rep."},{"key":"25_CR5","doi-asserted-by":"publisher","unstructured":"Dao, V.L., Bothorel, C., Lenca, P.: Community structures evaluation in complex networks: a descriptive approach. In: Shmueli E., Barzel B., Puzis R. (eds) 3rd International Winter School and Conference on Network Science. NetSci-X 2017. Springer Proceedings in Complexity, pp. 11\u201319. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-55471-6_2 (2017)","DOI":"10.1007\/978-3-319-55471-6_2"},{"issue":"3\u20135","key":"25_CR6","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.physrep.2009.11.002","volume":"486","author":"S Fortunato","year":"2010","unstructured":"Fortunato, S.: Community detection in graphs. Phys. Rep. 486(3\u20135), 75\u2013174 (2010)","journal-title":"Phys. Rep."},{"key":"25_CR7","doi-asserted-by":"publisher","unstructured":"Francisco, A.P., Oliveira, A.L.: On community detection in very large networks. In: da F. Costa, L., Evsukoff, A., Mangioni, G., Menezes, R. (eds.) Complex Networks. CCIS, vol. 116, pp. 208\u2013216. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-25501-4_21","DOI":"10.1007\/978-3-642-25501-4_21"},{"key":"25_CR8","unstructured":"Hagberg, A., Swart, P.S.,\u00a0Chult, D.: Exploring network structure, dynamics, and function using networkx. Technical report, Los Alamos National Lab., NM (2008)"},{"key":"25_CR9","doi-asserted-by":"publisher","unstructured":"Keane, M.T., Kenny, E.M.: How case-based reasoning explains neural networks: a theoretical analysis of XAI using Post-Hoc explanation-by-example from a survey of ANN-CBR twin-systems. In: Bach, K., Marling, C. (eds) Case-Based Reasoning Research and Development. ICCBR 2019. LNCS, vol. 11680, pp. 155\u2013171. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-29249-2_11","DOI":"10.1007\/978-3-030-29249-2_11"},{"key":"25_CR10","unstructured":"Keane, M.T., Kenny, E.M.: The Twin-System Approach as One Generic Solution for XAI: An Overview of ANN-CBR Twins for Explaining Deep Learning. arXiv 1905.08069 (2019)"},{"issue":"5","key":"25_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1103\/PhysRevE.80.056117","volume":"80","author":"A Lancichinetti","year":"2009","unstructured":"Lancichinetti, A., Fortunato, S.: Community detection algorithms: a comparative analysis. Phys. Rev. E Stat. Nonlinear Soft Matter Phys. 80(5), 1\u201312 (2009)","journal-title":"Phys. Rev. E Stat. Nonlinear Soft Matter Phys."},{"issue":"1","key":"25_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/srep00336","volume":"2","author":"A Lancichinetti","year":"2012","unstructured":"Lancichinetti, A., Fortunato, S.: Consensus clustering in complex networks. Sci. Rep. 2(1), 1\u20137 (2012)","journal-title":"Sci. Rep."},{"issue":"4","key":"25_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1103\/PhysRevE.78.046110","volume":"78","author":"A Lancichinetti","year":"2008","unstructured":"Lancichinetti, A., Fortunato, S., Radicchi, F.: Benchmark graphs for testing community detection algorithms. Phys. Rev. E Stat. Nonlinear Soft Matter Physics 78(4), 1\u20136 (2008)","journal-title":"Phys. Rev. E Stat. Nonlinear Soft Matter Physics"},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Lee, A., Archambault, D.: Communities found by Users \u2013 not algorithms. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 2396\u20132400 (2016)","DOI":"10.1145\/2858036.2858071"},{"key":"25_CR15","doi-asserted-by":"publisher","first-page":"52370","DOI":"10.1109\/ACCESS.2020.2980581","volume":"8","author":"O Loyola-Gonzalez","year":"2020","unstructured":"Loyola-Gonzalez, O., Gutierrez-Rodr\u00edguez, A.E., Medina-P\u00e9rez, M.A., Monroy, R., Mart\u00ednez-Trinidad, J.F., Carrasco-Ochoa, J.A., Garcia-Borroto, M.: An explainable artificial intelligence model for clustering numerical databases. IEEE Access 8, 52370\u201352384 (2020)","journal-title":"IEEE Access"},{"key":"25_CR16","unstructured":"Lundberg, S.M., Lee, S.I.: A unified approach to interpreting model predictions. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, pp. 4768\u20134777 (2017)"},{"key":"25_CR17","unstructured":"Molnar, C.: Interpretable machine learning. Lulu.com (2020)"},{"key":"25_CR18","doi-asserted-by":"crossref","unstructured":"Morichetta, A., Casas, P., Mellia, M.: EXPLAIN-IT: towards explainable AI for unsupervised network traffic analysis. In: Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks, pp. 22\u201328 (2019)","DOI":"10.1145\/3359992.3366639"},{"key":"25_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/ncomms11863","volume":"7","author":"M Newman","year":"2016","unstructured":"Newman, M., Clauset, A.: Structure and inference in annotated networks. Nat. Commun. 7, 1\u201311 (2016)","journal-title":"Nat. Commun."},{"issue":"08","key":"25_CR20","doi-asserted-by":"publisher","first-page":"P08001","DOI":"10.1088\/1742-5468\/2012\/08\/P08001","volume":"2012","author":"G Orman","year":"2012","unstructured":"Orman, G., Labatut, V., Cherifi, H.: Comparative evaluation of community detection algorithms: a topological approach. J. Stat. Mech. Theory Exp. 2012(08), P08001 (2012)","journal-title":"J. Stat. Mech. Theory Exp."},{"issue":"3","key":"25_CR21","doi-asserted-by":"publisher","first-page":"036106","DOI":"10.1103\/PhysRevE.76.036106","volume":"76","author":"UN Raghavan","year":"2007","unstructured":"Raghavan, U.N., Albert, R., Kumara, S.: Near linear time algorithm to detect community structures in large-scale networks. Phys. Rev. E 76(3), 036106 (2007)","journal-title":"Phys. Rev. E"},{"key":"25_CR22","doi-asserted-by":"crossref","unstructured":"Ribeiro, M.T., Singh, S., Guestrin, C.: \u201cWhy should I trust you?\u201d Explaining the predictions of any classifier. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1135\u20131144 (2016)","DOI":"10.1145\/2939672.2939778"},{"issue":"4","key":"25_CR23","doi-asserted-by":"publisher","first-page":"1118","DOI":"10.1073\/pnas.0706851105","volume":"105","author":"M Rosvall","year":"2008","unstructured":"Rosvall, M., Bergstrom, C.T.: Maps of random walks on complex networks reveal community structure. Proc Natl. Acad. Sci. USA 105(4), 1118\u20131123 (2008)","journal-title":"Proc Natl. Acad. Sci. USA"},{"issue":"6090","key":"25_CR24","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1126\/science.1217330","volume":"337","author":"TW Valente","year":"2012","unstructured":"Valente, T.W.: Network interventions. Science 337(6090), 49\u201353 (2012)","journal-title":"Science"},{"issue":"2","key":"25_CR25","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1177\/1090198120901497","volume":"47","author":"TW Valente","year":"2020","unstructured":"Valente, T.W., Yon, G.G.V.: Diffusion\/contagion processes on social networks. Health Educ. Beha. 47(2), 235\u2013248 (2020)","journal-title":"Health Educ. Beha."},{"key":"25_CR26","first-page":"841","volume":"31","author":"S Wachter","year":"2017","unstructured":"Wachter, S., Mittelstadt, B., Russell, C.: Counterfactual explanations without opening the black box: Automated decisions and the GDPR. Harvard J. Law Technol. 31, 841 (2017)","journal-title":"Harvard J. Law Technol."},{"key":"25_CR27","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1038\/30918","volume":"393","author":"DJ Watts","year":"1998","unstructured":"Watts, D.J., Strogatz, S.H.: Collective dynamics of \u201csmall-world\u2019\u2019 networks. Nature 393, 440\u2013442 (1998)","journal-title":"Nature"},{"issue":"1","key":"25_CR28","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/s10115-013-0693-z","volume":"42","author":"J Yang","year":"2013","unstructured":"Yang, J., Leskovec, J.: Defining and evaluating network communities based on ground-truth. Knowl. Inf. Syst. 42(1), 181\u2013213 (2013). https:\/\/doi.org\/10.1007\/s10115-013-0693-z","journal-title":"Knowl. Inf. Syst."}],"container-title":["Studies in Computational Intelligence","Complex Networks & Their Applications X"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-93409-5_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,27]],"date-time":"2023-04-27T20:34:44Z","timestamp":1682627684000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-93409-5_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030934088","9783030934095"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-93409-5_25","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"1 January 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"COMPLEX NETWORKS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Complex Networks and Their Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Madrid","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwcna2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.complexnetworks.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}