{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:26:13Z","timestamp":1743009973112,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030653507"},{"type":"electronic","value":"9783030653514"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","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":[[2021]]},"DOI":"10.1007\/978-3-030-65351-4_48","type":"book-chapter","created":{"date-parts":[[2021,1,4]],"date-time":"2021-01-04T22:03:06Z","timestamp":1609797786000},"page":"597-609","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Interest Clustering Coefficient: A New Metric for Directed Networks Like Twitter"],"prefix":"10.1007","author":[{"given":"Thibaud","family":"Trolliet","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nathann","family":"Cohen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fr\u00e9d\u00e9ric","family":"Giroire","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luc","family":"Hogie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"St\u00e9phane","family":"P\u00e9rennes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,5]]},"reference":[{"issue":"3","key":"48_CR1","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/BF02523189","volume":"17","author":"N Alon","year":"1997","unstructured":"Alon, N., Yuster, R., Zwick, U.: Finding and counting given length cycles. Algorithmica 17(3), 209\u2013223 (1997)","journal-title":"Algorithmica"},{"key":"48_CR2","doi-asserted-by":"crossref","unstructured":"Barrat, A., Weigt, M.: On the properties of small-world network models. Eur. Phys. J. B-Condens. Matter Complex Syst. 13(3) (2000)","DOI":"10.1007\/s100510050067"},{"key":"48_CR3","unstructured":"Bollob\u00e1s, B., Borgs, C., Chayes, J., Riordan, O.: Directed scale-free graphs. In: ACM-SIAM Symposium on Discrete Algorithms (2003)"},{"issue":"4","key":"48_CR4","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1109\/MC.2005.132","volume":"38","author":"PO Bykin","year":"2005","unstructured":"Bykin, P.O., Roychowdhury, V.P.: Leveraging social networks to fight spam. Computer 38(4), 61\u201368 (2005)","journal-title":"Computer"},{"key":"48_CR5","doi-asserted-by":"crossref","unstructured":"Fagiolo, G.: Clustering in complex directed networks. Phys. Rev. E 76 (2007)","DOI":"10.1103\/PhysRevE.76.026107"},{"key":"48_CR6","doi-asserted-by":"crossref","unstructured":"Gabielkov, M., Rao, A., Legout, A.: Studying social networks at scale: macroscopic anatomy of the twitter social graph. In: ACM SIGMETRICS Performance Evaluation Review, Vol. 42, pp. 277\u2013288. ACM (2014)","DOI":"10.1145\/2637364.2591985"},{"key":"48_CR7","doi-asserted-by":"crossref","unstructured":"Granovetter, M.S.: The strength of weak ties. In: Social networks. Elsevier (1977)","DOI":"10.1016\/B978-0-12-442450-0.50025-0"},{"key":"48_CR8","doi-asserted-by":"crossref","unstructured":"Kwak, H., Lee, C., Park, H., Moon, S.: What is twitter, a social network or a news media? In: Proceedings of the 19th International Conference on World Wide Web, ACM (2010)","DOI":"10.1145\/1772690.1772751"},{"key":"48_CR9","doi-asserted-by":"crossref","unstructured":"Latapy, M.: Main-memory triangle computations for very large (sparse (power-law)) graphs. Theoret. Comput. Sci. 407(1\u20133), 458\u2013473 (2008)","DOI":"10.1016\/j.tcs.2008.07.017"},{"key":"48_CR10","doi-asserted-by":"crossref","unstructured":"Mislove, A., Marcon, M., Gummadi, K.P., Druschel, P., Bhattacharjee, B.: Measurement and analysis of online social networks. In: ACM IMC, pp. 29\u201342 (2007)","DOI":"10.1145\/1298306.1298311"},{"key":"48_CR11","doi-asserted-by":"crossref","unstructured":"Myers, S.A., Sharma, A., Gupta, P., Lin, J.: Information network or social network?: the structure of the twitter follow graph. In: Proceedings of the 23rd International Conference on World Wide Web, pp. 493\u2013498. ACM (2014)","DOI":"10.1145\/2567948.2576939"},{"key":"48_CR12","doi-asserted-by":"crossref","unstructured":"Sanei-Mehri, S.-V., Sariyuce, A.E., Tirthapura, S.: Butterfly counting in bipartite networks. In: ACM SIGKDD, pp. 2150\u20132159 (2018)","DOI":"10.1145\/3219819.3220097"},{"key":"48_CR13","doi-asserted-by":"crossref","unstructured":"Sar\u00e4maki, J., Kivel\u00e4a, M., Onnela, J.-P., Kaski, K., Kertesz, J.: Generalizations of the clustering coefficient to weighted complex networks. Phys. Rev. E 75(2) (2007)","DOI":"10.1103\/PhysRevE.75.027105"},{"key":"48_CR14","unstructured":"Shaban, H.: https:\/\/www.washingtonpost.com\/technology\/2019\/02\/07\/twitter-reveals-its-daily-active-user-numbers-first-time\/"},{"key":"48_CR15","doi-asserted-by":"crossref","unstructured":"Silva, N.B., Tsang, R., Cavalcanti, G.D.C., Tsang, J.: A graph-based friend recommendation system using genetic algorithm. In: 2010 IEEE Congress on Evolutionary Computation (CEC), pp. 1\u20137. IEEE (2010)","DOI":"10.1109\/CEC.2010.5586144"},{"key":"48_CR16","unstructured":"Trolliet, T., Cohen, N., Giroire, F., Hogie, L., P\u00e9rennes, S.: Interest clustering coefficient: a new metric for directed networks like twitter (2020). arXiv preprint: arXiv:2008.00517"},{"key":"48_CR17","unstructured":"Ugander, J., Karrer, B., Backstrom, L., Marlow, C.: The anatomy of the facebook social graph (2011). arXiv preprint: arXiv:1111.4503"},{"key":"48_CR18","doi-asserted-by":"crossref","unstructured":"Wang, J., Fu, A.W.-C., Cheng, J.: Rectangle counting in large bipartite graphs. In: 2014 IEEE International Congress on Big Data. IEEE (2014)","DOI":"10.1109\/BigData.Congress.2014.13"},{"issue":"6684","key":"48_CR19","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 small-world networks. Nature 393(6684), 440 (1998)","journal-title":"Nature"}],"container-title":["Studies in Computational Intelligence","Complex Networks &amp; Their Applications IX"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-65351-4_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,1,4]],"date-time":"2021-01-04T22:51:14Z","timestamp":1609800674000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-65351-4_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030653507","9783030653514"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-65351-4_48","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"5 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"COMPLEX NETWORKS 2020","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwcna2020","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"}}]}}