{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T00:37:33Z","timestamp":1742949453357,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031704208"},{"type":"electronic","value":"9783031704215"}],"license":[{"start":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T00:00:00Z","timestamp":1731542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T00:00:00Z","timestamp":1731542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-70421-5_25","type":"book-chapter","created":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T02:53:30Z","timestamp":1731725610000},"page":"301-308","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Using Graph Theory for\u00a0Clinical Data Management"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1612-2538","authenticated-orcid":false,"given":"Ilaria","family":"Lazzaro","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,14]]},"reference":[{"key":"25_CR1","doi-asserted-by":"publisher","first-page":"77","DOI":"10.3389\/fnana.2015.00077","volume":"9","author":"M Bastiani","year":"2015","unstructured":"Bastiani, M., Roebroeck, A.: Unraveling the multiscale structural organization and connectivity of the human brain: the role of diffusion MRI. Front. Neuroanat. 9, 77 (2015)","journal-title":"Front. Neuroanat."},{"key":"25_CR2","doi-asserted-by":"publisher","unstructured":"Bianconi, G.: 170Centrality Measures. In: Multilayer Networks: Structure and Function. Oxford University Press (2018). https:\/\/doi.org\/10.1093\/oso\/9780198753919.003.0009","DOI":"10.1093\/oso\/9780198753919.003.0009"},{"issue":"1","key":"25_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.physrep.2014.07.001","volume":"544","author":"S Boccaletti","year":"2014","unstructured":"Boccaletti, S., et al.: The structure and dynamics of multilayer networks. Phys. Rep. 544(1), 1\u2013122 (2014)","journal-title":"Phys. Rep."},{"key":"25_CR4","doi-asserted-by":"crossref","unstructured":"Cardillo, A., Zanin, M., G\u00f3mez-Gardenes, J., Romance, M., Garc\u00eda\u00a0del Amo, A.J., Boccaletti, S.: Modeling the multi-layer nature of the European air transport network: resilience and passengers re-scheduling under random failures. Eur. Phys. J. Spec. Top. 215, 23\u201333 (2013)","DOI":"10.1140\/epjst\/e2013-01712-8"},{"key":"25_CR5","doi-asserted-by":"crossref","unstructured":"De\u00a0Domenico, M.: Multilayer modeling and analysis of human brain networks. Giga Sci. 6(5), gix004 (2017)","DOI":"10.1093\/gigascience\/gix004"},{"issue":"4","key":"25_CR6","volume":"3","author":"M De Domenico","year":"2013","unstructured":"De Domenico, M., et al.: Mathematical formulation of multilayer networks. Phys. Rev. X 3(4), 041022 (2013)","journal-title":"Phys. Rev. X"},{"issue":"1","key":"25_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/ncomms7868","volume":"6","author":"M De Domenico","year":"2015","unstructured":"De Domenico, M., Sol\u00e9-Ribalta, A., Omodei, E., G\u00f3mez, S., Arenas, A.: Ranking in interconnected multilayer networks reveals versatile nodes. Nat. Commun. 6(1), 1\u20136 (2015)","journal-title":"Nat. Commun."},{"key":"25_CR8","doi-asserted-by":"crossref","unstructured":"Dickison, M.E., Magnani, M., Rossi, L.: Multilayer social networks. Cambridge University Press, Cambridge (2016)","DOI":"10.1017\/CBO9781139941907"},{"key":"25_CR9","doi-asserted-by":"crossref","unstructured":"Fox, M., Greicius, M.: Clinical applications of resting state functional connectivity. Front. Syst. Neurosci. 4, 19 (2010)","DOI":"10.3389\/fnsys.2010.00019"},{"issue":"1","key":"25_CR10","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1186\/s41044-020-00046-0","volume":"5","author":"Z Hammoud","year":"2020","unstructured":"Hammoud, Z., Kramer, F.: Multilayer networks: aspects, implementations, and application in biomedicine. Big Data Anal. 5(1), 2 (2020)","journal-title":"Big Data Anal."},{"key":"25_CR11","first-page":"133","volume":"2023","author":"I Lazzaro","year":"2023","unstructured":"Lazzaro, I., Milano, M., Cannataro, M.: Analysis and visualization of multilayer networks. Numer. Comput. Theory Algorithms NUMTA 2023, 133 (2023)","journal-title":"Numer. Comput. Theory Algorithms NUMTA"},{"key":"25_CR12","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1007\/978-3-031-63778-0_7","volume-title":"Computational Science - ICCS 2024","author":"I Lazzaro","year":"2024","unstructured":"Lazzaro, I., Milano, M., Cannataro, M.: A pipeline for the analysis of multilayer brain networks. In: Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds.) Computational Science - ICCS 2024, pp. 86\u201398. Springer Nature Switzerland, Cham (2024)"},{"key":"25_CR13","doi-asserted-by":"publisher","unstructured":"Mandke, K., et al.: Comparing multilayer brain networks between groups: Introducing graph metrics and recommendations. NeuroImage 166, 371\u2013384 (2018). https:\/\/doi.org\/10.1016\/j.neuroimage.2017.11.016, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811917309230","DOI":"10.1016\/j.neuroimage.2017.11.016"},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"McGee, F., Ghoniem, M., Melan\u00e7on, G., Otjacques, B., Pinaud, B.: The state of the art in multilayer network visualization. In: Computer Graphics Forum. vol.\u00a038, pp. 125\u2013149. Wiley Online Library (2019)","DOI":"10.1111\/cgf.13610"},{"key":"25_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1756-0381-4-10","volume":"4","author":"GA Pavlopoulos","year":"2011","unstructured":"Pavlopoulos, G.A., et al.: Using graph theory to analyze biological networks. BioData Mining 4, 1\u201327 (2011)","journal-title":"BioData Mining"},{"key":"25_CR16","unstructured":"Scott, J.: Network Analysis: A Handbook. Sage Publications (1992)"},{"key":"25_CR17","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1007\/978-3-030-05411-3_60","volume-title":"Complex Networks and Their Applications VII","author":"B \u0160krlj","year":"2019","unstructured":"\u0160krlj, B., Kralj, J., Lavra\u010d, N.: Py3plex: a library for scalable multilayer network analysis and visualization. In: Aiello, L.M., Cherifi, C., Cherifi, H., Lambiotte, R., Li\u00f3, P., Rocha, L.M. (eds.) COMPLEX NETWORKS 2018. SCI, vol. 812, pp. 757\u2013768. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-05411-3_60"},{"issue":"2","key":"25_CR18","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1109\/TMI.2020.3030047","volume":"40","author":"CM Ting","year":"2020","unstructured":"Ting, C.M., Samdin, S.B., Tang, M., Ombao, H.: Detecting dynamic community structure in functional brain networks across individuals: a multilayer approach. IEEE Trans. Med. Imaging 40(2), 468\u2013480 (2020)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"25_CR19","doi-asserted-by":"publisher","unstructured":"Vijayan, V., Critchlow, D., Milenkovi\u0107, T.: Alignment of dynamic networks. Bioinformatics 33(14), i180\u2013i189 (2017). https:\/\/doi.org\/10.1093\/bioinformatics\/btx246, https:\/\/doi.org\/10.1093\/bioinformatics\/btx246","DOI":"10.1093\/bioinformatics\/btx246"},{"issue":"1","key":"25_CR20","first-page":"5458","volume":"18","author":"JD Wilson","year":"2017","unstructured":"Wilson, J.D., Palowitch, J., Bhamidi, S., Nobel, A.B.: Community extraction in multilayer networks with heterogeneous community structure. J. Mach. Learn. Res. 18(1), 5458\u20135506 (2017)","journal-title":"J. Mach. Learn. Res."}],"container-title":["Communications in Computer and Information Science","New Trends in Database and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-70421-5_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T03:05:23Z","timestamp":1731726323000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70421-5_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,14]]},"ISBN":["9783031704208","9783031704215"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70421-5_25","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024,11,14]]},"assertion":[{"value":"14 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADBIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Advances in Databases and Information Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bayonne","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adbis2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.sigappfr.org\/adbis2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}