{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T14:11:25Z","timestamp":1742998285939,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319721491"},{"type":"electronic","value":"9783319721507"}],"license":[{"start":{"date-parts":[[2017,11,27]],"date-time":"2017-11-27T00:00:00Z","timestamp":1511740800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-72150-7_98","type":"book-chapter","created":{"date-parts":[[2017,11,26]],"date-time":"2017-11-26T08:21:29Z","timestamp":1511684489000},"page":"1210-1222","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Fast Extraction Method of Functional Clusters from Large-Scale Spatial Networks Based on Transfer Learning"],"prefix":"10.1007","author":[{"given":"Takayasu","family":"Fushimi","sequence":"first","affiliation":[]},{"given":"Kazumi","family":"Saito","sequence":"additional","affiliation":[]},{"given":"Tetsuo","family":"Ikeda","sequence":"additional","affiliation":[]},{"given":"Kazuhiro","family":"Kazama","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,11,27]]},"reference":[{"key":"98_CR1","doi-asserted-by":"crossref","unstructured":"Aggarwal, A., Deshpande, A., Kannan, R.: Adaptive sampling for k-means clustering. In: Proceedings of the 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, pp. 15\u201328. Springer-Verlag, Berlin, Heidelberg (2009)","DOI":"10.1007\/978-3-642-03685-9_2"},{"issue":"4","key":"98_CR2","first-page":"298","volume":"4","author":"K Burckhart","year":"2012","unstructured":"Burckhart, K., Martin, O.J.: An interpretation of the recent evolution of the city of Barcelona through the traffic maps. J. Geogr. Inf. Syst. 4(4), 298\u2013311 (2012)","journal-title":"J. Geogr. Inf. Syst."},{"key":"98_CR3","doi-asserted-by":"crossref","unstructured":"Crucitti, P., Latora, V., Porta, S.: Centrality measures in spatial networks of urban streets. Phys. Rev. E 73(3), 036,125+ (2006)","DOI":"10.1103\/PhysRevE.73.036125"},{"issue":"1","key":"98_CR4","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1080\/0022250X.1994.9990134","volume":"19","author":"M Everett","year":"1994","unstructured":"Everett, M., Borgatti, S.: Regular equivalence: general theory. J. Math. Sociol. 19(1), 29\u201352 (1994)","journal-title":"J. Math. Sociol."},{"key":"98_CR5","unstructured":"Fushimi, T., Saito, K., Ikeda, T., Kazama, K.: Extracting and characterizing functional communities in spatial networks. In: Proceedings of the Workshop on Artificial Intelligence for Tourism (AI4Tourism2016), pp. 182\u2013193 (2016)"},{"key":"98_CR6","doi-asserted-by":"crossref","unstructured":"Fushimi, T., Saito, K., Ikeda, T., Kazama, K.: Functional cluster extraction from large spatial networks. In: Proceedings of the 2016 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2016), pp. 57\u201362 (2016)","DOI":"10.1109\/ASONAM.2016.7752213"},{"key":"98_CR7","doi-asserted-by":"crossref","unstructured":"Fushimi, T., Saito, K., Kazama, K.: Extracting communities in networks based on functional properties of nodes. In: D.\u00a0Richards, B.H. Kang (eds.) Proceedings of the 12th Pacific Rim Knowledge Acquisition Workshop (PKAW2012), pp. 328\u2013334. Springer-Verlag, Berlin, Heidelberg (2012)","DOI":"10.1007\/978-3-642-32541-0_28"},{"key":"98_CR8","doi-asserted-by":"crossref","unstructured":"Gilpin, S., Eliassi-Rad, T., Davidson, I.: Guided learning for role discovery (glrd): Framework, algorithms, and applications. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 113\u2013121. ACM, New York, NY, USA (2013)","DOI":"10.1145\/2487575.2487620"},{"key":"98_CR9","doi-asserted-by":"crossref","unstructured":"Henderson, K., Gallagher, B., Eliassi-Rad, T., Tong, H., Basu, S., Akoglu, L., Koutra, D., Faloutsos, C., Li, L.: Rolx: Structural role extraction & mining in large graphs. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1231\u20131239. ACM (2012)","DOI":"10.1145\/2339530.2339723"},{"key":"98_CR10","doi-asserted-by":"crossref","unstructured":"Henderson, K., Gallagher, B., Li, L., Akoglu, L., Eliassi-Rad, T., Tong, H., Faloutsos, C.: It\u2019s who you know: Graph mining using recursive structural features. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 663\u2013671. ACM, New York, NY, USA (2011)","DOI":"10.1145\/2020408.2020512"},{"issue":"5","key":"98_CR11","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1068\/b39110","volume":"41","author":"B Jiang","year":"2014","unstructured":"Jiang, B., Duan, Y., Lu, F., Yang, T., Zhao, J.: Topological structure of urban street networks from the perspective of degree correlations. Environ. Plan. 41(5), 813\u2013828 (2014)","journal-title":"Environ. Plan."},{"key":"98_CR12","unstructured":"Jiang, C., Li, Y., Shao, M., Jia, P.: Accelerating clustering methods through fractal based analysis. In: 1st Workshop on Application of Self-similarity and Fractals in Data Mining (KDD2002 Workshop) (2002)"},{"key":"98_CR13","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, pp. 420\u2013429. ACM, New York, NY, USA (2007)","DOI":"10.1145\/1281192.1281239"},{"key":"98_CR14","unstructured":"Lin, F., Cohen, W.W.: Power iteration clustering. In: Proceedings of the 27th International Conference on Machine Learning (ICML-10), pp. 655\u2013662 (2010)"},{"issue":"1","key":"98_CR15","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1080\/0022250X.1971.9989788","volume":"1","author":"F Lorrain","year":"1971","unstructured":"Lorrain, F., White, H.: Structural equivalence of individuals in social networks. J. Math. Soc. 1(1), 49\u201380 (1971)","journal-title":"J. Math. Soc."},{"issue":"5","key":"98_CR16","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1068\/b32128","volume":"34","author":"DA Montis","year":"2007","unstructured":"Montis, D.A., Barthelemy, M., Chessa, A., Vespignani, A.: The structure of interurban traffic: a weighted network analysis. Environ. Plan. 34(5), 905\u2013924 (2007)","journal-title":"Environ. Plan."},{"key":"98_CR17","doi-asserted-by":"publisher","unstructured":"Newman, M.E.J.: Detecting community structure in networks. European Phys. J. B Condens. Matter Complex Syst. 38(2), 321\u2013330 (2004). https:\/\/doi.org\/10.1140\/epjb\/e2004-00124-y","DOI":"10.1140\/epjb\/e2004-00124-y"},{"issue":"3","key":"98_CR18","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.socnet.2010.03.006","volume":"32","author":"T Opsahl","year":"2010","unstructured":"Opsahl, T., Agneessens, F., Skvoretz, J.: Node centrality in weighted networks: generalizing degree and shortest paths. Soc. Netw. 32(3), 245\u2013251 (2010)","journal-title":"Soc. Netw."},{"key":"98_CR19","doi-asserted-by":"crossref","first-page":"814","DOI":"10.1038\/nature03607","volume":"435","author":"G Palla","year":"2005","unstructured":"Palla, G., Der\u00e9nyi, I., Farkas, I., Vicsek, T.: Uncovering the overlapping community structure of complex networks in nature and society. Nature 435, 814\u2013818 (2005)","journal-title":"Nature"},{"key":"98_CR20","unstructured":"Park, K., Yilmaz, A.: A social network analysis approach to analyze road networks. In: Proceedings of the ASPRS Annual Conference 2010 (2010)"},{"issue":"4","key":"98_CR21","doi-asserted-by":"crossref","first-page":"1112","DOI":"10.1109\/TKDE.2014.2349913","volume":"27","author":"RA Rossi","year":"2015","unstructured":"Rossi, R.A., Ahmed, N.K.: Role discovery in networks. IEEE Trans. Knowl. Data Eng. 27(4), 1112\u20131131 (2015)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"98_CR22","doi-asserted-by":"crossref","unstructured":"Rossi, R.A., Gallagher, B., Neville, J., Henderson, K.: Role-dynamics: Fast mining of large dynamic networks. In: Proceedings of the 21st International Conference Companion on World Wide Web, pp. 997\u20131006. ACM (2012)","DOI":"10.1145\/2187980.2188234"},{"key":"98_CR23","doi-asserted-by":"crossref","unstructured":"Rossi, R.A., Gallagher, B., Neville, J., Henderson, K.: Modeling dynamic behavior in large evolving graphs. In: Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, pp. 667\u2013676. ACM (2013)","DOI":"10.1145\/2433396.2433479"},{"issue":"3","key":"98_CR24","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/0378-8733(83)90028-X","volume":"5","author":"SB Seidman","year":"1983","unstructured":"Seidman, S.B.: Network structure and minimum degree. Soc. Netw. 5(3), 269\u2013287 (1983)","journal-title":"Soc. Netw."},{"key":"98_CR25","doi-asserted-by":"crossref","unstructured":"Vinod, H.: Integer programming and the theory of grouping, vol.\u00a064. Off. J. Am. Stat. Assoc. (1969)","DOI":"10.1080\/01621459.1969.10500990"},{"key":"98_CR26","doi-asserted-by":"crossref","unstructured":"Wang, P., Hunter, T., Bayen, A.M., Schechtner, K., Gonzalez, M.C.: Understanding road usage patterns in urban areas. Sci. Rep. 2, 1001 (2012) ( arXiv:1212.5327 )","DOI":"10.1038\/srep01001"}],"container-title":["Studies in Computational Intelligence","Complex Networks & Their Applications VI"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-72150-7_98","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,6]],"date-time":"2019-10-06T17:01:46Z","timestamp":1570381306000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-72150-7_98"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,27]]},"ISBN":["9783319721491","9783319721507"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-72150-7_98","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2017,11,27]]}}}