{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:32:55Z","timestamp":1742913175087,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"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_67","type":"book-chapter","created":{"date-parts":[[2017,11,26]],"date-time":"2017-11-26T08:21:29Z","timestamp":1511684489000},"page":"829-842","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Representing Emoji Usage Using Directed Networks: A Twitter Case Study"],"prefix":"10.1007","author":[{"given":"Halley","family":"Fede","sequence":"first","affiliation":[]},{"given":"Isaiah","family":"Herrera","sequence":"additional","affiliation":[]},{"given":"S. M.","family":"Mahdi Seyednezhad","sequence":"additional","affiliation":[]},{"given":"Ronaldo","family":"Menezes","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,11,27]]},"reference":[{"issue":"5439","key":"67_CR1","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1126\/science.286.5439.509","volume":"286","author":"AL Barab\u00e1si","year":"1999","unstructured":"Barab\u00e1si, A.L., Albert, R.: Emergence of scaling in random networks. science 286(5439), 509\u2013512 (1999)","journal-title":"science"},{"key":"67_CR2","unstructured":"Barbieri, F., Ronzano, F., Saggion, H.: What does this emoji mean? a vector space skip-gram model for twitter emojis. In: LREC (2016)"},{"key":"67_CR3","doi-asserted-by":"crossref","unstructured":"Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech. Theory Experiment 2008(10), P10008 (2008)","DOI":"10.1088\/1742-5468\/2008\/10\/P10008"},{"key":"67_CR4","unstructured":"Unicode Consortium: Unicode emoji (2017). \nhttp:\/\/unicode.org\/reports\/tr51\/index.html"},{"key":"67_CR5","unstructured":"Evans, V.: The Emoji Code: The Linguistics Behind Smiley Faces and Scaredy Cats. Picador, USA (2017)"},{"key":"67_CR6","unstructured":"Gottke, J.: Instagram emoji study emojis lead to higher interactions (2017). \nhttps:\/\/www.quintly.com\/blog\/2017\/01\/instagram-emoji-study-higher-interactions\/"},{"key":"67_CR7","doi-asserted-by":"crossref","unstructured":"Hartman, R., Faustino, J., Pinheiro, D., Menezes, R.: Assessing the suitability of network community detection to available meta-data using rank stability. In: Proceedings of the International Conference on Web Intelligence, pp. 162\u2013169. ACM (2017)","DOI":"10.1145\/3106426.3106493"},{"key":"67_CR8","doi-asserted-by":"crossref","unstructured":"Lu, X., Ai, W., Liu, X., Li, Q., Wang, N., Huang, G., Mei, Q.: Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 770\u2013780. ACM (2016)","DOI":"10.1145\/2971648.2971724"},{"key":"67_CR9","doi-asserted-by":"crossref","unstructured":"Newman, M.: Networks: An Introduction. Oxford university press, New York (2010)","DOI":"10.1093\/acprof:oso\/9780199206650.001.0001"},{"key":"67_CR10","unstructured":"Page, L., Brin, S., Motwani, R., Winograd, T.: The pagerank citation ranking: Bringing order to the web. Technical report, Stanford InfoLab (1999)"},{"key":"67_CR11","unstructured":"Pavalanathan, U., Eisenstein, J.: Emoticons vs. emojis on twitter: a causal inference approach. arXiv preprint \narXiv:1510.08480\n\n (2015)"},{"key":"67_CR12","doi-asserted-by":"crossref","unstructured":"Peixoto, T.P.: Hierarchical block structures and high-resolution model selection in large networks. Phys. Rev. X 4(1), 011047 (2014)","DOI":"10.1103\/PhysRevX.4.011047"},{"key":"67_CR13","doi-asserted-by":"crossref","unstructured":"Seyednezhad, S.M., Menezes, R.: Understanding subject-based emoji usage using network science. In: Workshop on Complex Networks CompleNet, pp. 151\u2013159. Springer (2017)","DOI":"10.1007\/978-3-319-54241-6_13"},{"key":"67_CR14","doi-asserted-by":"crossref","unstructured":"Wijeratne, S., Balasuriya, L., Sheth, A., Doran, D.: Emojinet: Building a machine readable sense inventory for emoji. In: International Conference on Social Informatics, pp. 527\u2013541. Springer (2016)","DOI":"10.1007\/978-3-319-47880-7_33"}],"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_67","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,2,15]],"date-time":"2018-02-15T12:55:53Z","timestamp":1518699353000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-72150-7_67"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,27]]},"ISBN":["9783319721491","9783319721507"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-72150-7_67","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]]}}}