{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:34:35Z","timestamp":1743053675332,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819932993"},{"type":"electronic","value":"9789819933006"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-981-99-3300-6_6","type":"book-chapter","created":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T15:04:01Z","timestamp":1685459041000},"page":"63-79","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Cross-Platform Instant Messaging User Association Method Based on Supervised Learning"],"prefix":"10.1007","author":[{"given":"Pei","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Xiangyang","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Shaoyong","family":"Du","sequence":"additional","affiliation":[]},{"given":"Wenqi","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Jiashan","family":"Guo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,5,31]]},"reference":[{"key":"6_CR1","unstructured":"China Internet Network Information Center: The 47th China Statistical Report on Internet Development (2021)"},{"issue":"2","key":"6_CR2","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1109\/JSYST.2015.2415835","volume":"11","author":"J Li","year":"2017","unstructured":"Li, J., Yan, H., Liu, Z., Chen, X.: Location-sharing systems with enhanced privacy in mobile online social networks. IEEE Syst. J. 11(2), 439\u2013448 (2017)","journal-title":"IEEE Syst. J."},{"key":"6_CR3","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1117\/12.450035","volume":"4445","author":"H Wang","year":"2001","unstructured":"Wang, H., Li, Y., Chen, Y.: Co-location social networks: linking the physical world and cyberspace. Proc. SPIE 4445, 119\u2013129 (2001)","journal-title":"Proc. SPIE"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Yuan, F., Jose, J.M., Guo, G.: Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation, pp. 46\u201353. ICTAI, San Jose, CA, USA (2016)","DOI":"10.1109\/ICTAI.2016.0018"},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"Wang, R., Xue, M., Liu, K.: Data-Driven Privacy Analytics: A WeChat Case Study in Location-Based Social Networks, pp. 561\u2013570. ICTAI, San Jose, CA, USA (2016)","DOI":"10.1007\/978-3-319-21837-3_55"},{"key":"6_CR6","unstructured":"Number of monthly active WeChat users from 2nd quarter 2011 to 2nd quarter 2021. https:\/\/www.statista.com\/statistics\/255778\/number-of-active-wechat-messenger-accounts"},{"issue":"4","key":"6_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3391708","volume":"11","author":"J Kim","year":"2020","unstructured":"Kim, J., Lee, J.G., Lee, B.S.: Geosocial co-clustering: a novel framework for geosocial community detection. ACM Trans. Intell. Syst. Technol. 11(4), 1\u201326 (2020)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Xie, R., Chen, Y., Lin, S., Zhang, T.: Understanding Skout users\u2019 mobility patterns on a global scale: a data-driven study. World Wide Web 22(11) (2018)","DOI":"10.1007\/s11280-018-0551-8"},{"issue":"4","key":"6_CR9","first-page":"1","volume":"16","author":"I Nurgaliev","year":"2020","unstructured":"Nurgaliev, I., Qiang, Q.U., Bamakan, S.: Matching user identities across social networks with limited profile data. Front. Comput. Sci. 16(4), 1\u201314 (2020)","journal-title":"Front. Comput. Sci."},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Malhotra, A., Totti, L., Meira, W.: Studying user footprints in different online social networks. In: ASONAM, Istanbul, Turkey (2012)","DOI":"10.1109\/ASONAM.2012.184"},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Penas, P., Del Hoyo, R., Vea-Murgu\u00eda, J.: Collective knowledge ontology user profiling for Twitter \u2013 automatic user profiling. In: ICWIIAT, Atlanta, GA, USA (2013)","DOI":"10.1109\/WI-IAT.2013.62"},{"issue":"7","key":"6_CR12","doi-asserted-by":"publisher","first-page":"2005","DOI":"10.1109\/TKDE.2015.2397434","volume":"27","author":"S Liu","year":"2015","unstructured":"Liu, S., Wang, S.: Structured learning from heterogeneous behavior for social identity linkage. IEEE Trans. Knowl. Data Eng. 27(7), 2005\u20132019 (2015)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"6_CR13","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.future.2018.01.041","volume":"83","author":"Y Li","year":"2018","unstructured":"Li, Y., Zhang, Z., Peng, Y.: Matching user accounts based on user generated content across social networks. Future Gener. Comput. Syst. 83, 104\u2013115 (2018)","journal-title":"Future Gener. Comput. Syst."},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"Hao, T., Zhou, J., Cheng, Y., Huang, L., Wu, H.: User identification in cyber-physical space: a case study on mobile query logs and trajectories. In: SIGSPATIAL, California, CA, USA (2016)","DOI":"10.1145\/2996913.2997017"},{"key":"6_CR15","unstructured":"Chen, X., Xu, Q., Huang, R.: A cross-social network user identity recognition algorithm based on user trajectory. J. Electron. Inf. Technol. 40(11) (2018)"},{"key":"6_CR16","doi-asserted-by":"publisher","unstructured":"Zhou, P., Luo, X., Du, S., Li, L., Yang, Y., Liu, F.: A cross-platform instant messaging user association method based on spatio-temporal trajectory. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds.) ICAIS 2022. CCIS, vol. 1587, pp. 430\u2013444. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-06761-7_35","DOI":"10.1007\/978-3-031-06761-7_35"},{"key":"6_CR17","unstructured":"Zheng, Y., Xing, X., Ma, W.Y., Liu, F.: Bull. Tech. Comm. Data Eng. 33(2), 32\u201339 (2010)"}],"container-title":["Communications in Computer and Information Science","Big Data and Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-3300-6_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T15:05:23Z","timestamp":1685459123000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-3300-6_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819932993","9789819933006"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-3300-6_6","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"31 May 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors declare that they have no conflicts of interest to report regarding the present study.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of Interest"}},{"value":"ICBDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Big Data and Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xiamen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icbds2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icbds.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}