{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T10:06:09Z","timestamp":1750673169274},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319556987"},{"type":"electronic","value":"9783319556994"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-55699-4_38","type":"book-chapter","created":{"date-parts":[[2017,3,21]],"date-time":"2017-03-21T03:56:53Z","timestamp":1490068613000},"page":"610-622","source":"Crossref","is-referenced-by-count":4,"title":["Social User Profiling: A Social-Aware Topic Modeling Perspective"],"prefix":"10.1007","author":[{"given":"Chao","family":"Ma","sequence":"first","affiliation":[]},{"given":"Chen","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Yanjie","family":"Fu","sequence":"additional","affiliation":[]},{"given":"Hengshu","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Guiquan","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Enhong","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,3,22]]},"reference":[{"key":"38_CR1","doi-asserted-by":"crossref","unstructured":"Ahmed, A., Low, Y., Aly, M., Josifovski, V., Smola, A.J.: Scalable distributed inference of dynamic user interests for behavioral targeting. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 114\u2013122. ACM (2011)","DOI":"10.1145\/2020408.2020433"},{"key":"38_CR2","unstructured":"Al Zamal, F., Liu, W., Ruths, D.: Homophily and latent attribute inference: inferring latent attributes of twitter users from neighbors. In: ICWSM, vol. 270 (2012)"},{"key":"38_CR3","doi-asserted-by":"crossref","unstructured":"Andrieu, C., Freitas, N., Doucet, A., Jordan, M.I.: An introduction to MCMC for machine learning. Mach. Learn. 50(1\u20132), 5\u201343 (2003)","DOI":"10.1023\/A:1020281327116"},{"key":"38_CR4","doi-asserted-by":"crossref","unstructured":"Backstrom, L., Sun, E., Marlow, C.: Find me if you can: improving geographical prediction with social and spatial proximity. In: Proceedings of the 19th International Conference on World Wide Web, pp. 61\u201370. ACM (2010)","DOI":"10.1145\/1772690.1772698"},{"key":"38_CR5","unstructured":"Bergsma, S., Van Durme, B.: Using conceptual class attributes to characterize social media users. In: ACL, no. 1, pp. 710\u2013720 (2013)"},{"key":"38_CR6","unstructured":"Burger, J.D., Henderson, J.C.: An exploration of observable features related to blogger age. In: AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs, pp. 15\u201320 (2006)"},{"key":"38_CR7","doi-asserted-by":"crossref","unstructured":"Cha, Y., Bi, B., Hsieh, C.C., Cho, J.: Incorporating popularity in topic models for social network analysis. In: Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 223\u2013232. ACM (2013)","DOI":"10.1145\/2484028.2484086"},{"key":"38_CR8","unstructured":"Chen, X., Wang, Y., Agichtein, E., Wang, F.: A comparative study of demographic attribute inference in twitter. In: Proceedings of ICWSM (2015)"},{"key":"38_CR9","doi-asserted-by":"crossref","unstructured":"Cheng, Z., Caverlee, J., Lee, K.: You are where you tweet: a content-based approach to geo-locating twitter users. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, pp. 759\u2013768. ACM (2010)","DOI":"10.1145\/1871437.1871535"},{"key":"38_CR10","doi-asserted-by":"crossref","unstructured":"Culotta, A., Kumar, N.R., Cutler, J.: Predicting the demographics of twitter users from website traffic data. In: AAAI, pp. 72\u201378 (2015)","DOI":"10.1609\/aaai.v29i1.9204"},{"key":"38_CR11","doi-asserted-by":"crossref","unstructured":"Jones, R., Kumar, R., Pang, B., Tomkins, A.: I know what you did last summer: query logs and user privacy. In: Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management, pp. 909\u2013914. ACM (2007)","DOI":"10.1145\/1321440.1321573"},{"key":"38_CR12","first-page":"273","volume":"13","author":"D Jurgens","year":"2013","unstructured":"Jurgens, D.: That\u2019s what friends are for: inferring location in online social media platforms based on social relationships. ICWSM 13, 273\u2013282 (2013)","journal-title":"ICWSM"},{"key":"38_CR13","doi-asserted-by":"crossref","unstructured":"Li, R., Wang, C., Chang, K.C.C.: User profiling in an ego network: co-profiling attributes and relationships. In: Proceedings of the 23rd International Conference on World Wide Web, pp. 819\u2013830. ACM (2014)","DOI":"10.1145\/2566486.2568045"},{"key":"38_CR14","doi-asserted-by":"crossref","unstructured":"Lin, H., Zhu, H., Zuo, Y., Zhu, C., Wu, J., Xiong, H.: Collaborative company profiling: insights from an employee\u2019s perspective. In: AAAI (2017)","DOI":"10.1609\/aaai.v31i1.10751"},{"key":"38_CR15","unstructured":"Liu, W., Ruths, D.: What\u2019s in a name? Using first names as features for gender inference in twitter. In: AAAI Spring Symposium: Analyzing Microtext, vol. 13, p. 01 (2013)"},{"issue":"1","key":"38_CR16","first-page":"4","volume":"8","author":"J Mcauley","year":"2014","unstructured":"Mcauley, J., Leskovec, J.: Discovering social circles in ego networks. ACM Trans. Knowl. Discov. Data (TKDD) 8(1), 4 (2014)","journal-title":"ACM Trans. Knowl. Discov. Data (TKDD)"},{"key":"38_CR17","doi-asserted-by":"crossref","unstructured":"Mislove, A., Viswanath, B., Gummadi, K.P., Druschel, P.: You are who you know: inferring user profiles in online social networks. In: Proceedings of the Third ACM International Conference on Web Search and Data Mining, pp. 251\u2013260. ACM (2010)","DOI":"10.1145\/1718487.1718519"},{"key":"38_CR18","doi-asserted-by":"crossref","unstructured":"Pennacchiotti, M., Popescu, A.M.: Democrats, republicans and starbucks afficionados: user classification in twitter. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 430\u2013438. ACM (2011)","DOI":"10.1145\/2020408.2020477"},{"key":"38_CR19","doi-asserted-by":"crossref","unstructured":"Ramage, D., Hall, D., Nallapati, R., Manning, C.D.: Labeled lDA: a supervised topic model for credit attribution in multi-labeled corpora. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1-Volume 1, pp. 248\u2013256. Association for Computational Linguistics (2009)","DOI":"10.3115\/1699510.1699543"},{"key":"38_CR20","doi-asserted-by":"crossref","unstructured":"Rao, D., Yarowsky, D., Shreevats, A., Gupta, M.: Classifying latent user attributes in twitter. In: Proceedings of the 2nd International Workshop on Search and Mining User-generated Contents, pp. 37\u201344. ACM (2010)","DOI":"10.1145\/1871985.1871993"},{"key":"38_CR21","doi-asserted-by":"crossref","unstructured":"Xu, S., Bao, S., Fei, B., Su, Z., Yu, Y.: Exploring folksonomy for personalized search. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 155\u2013162. ACM (2008)","DOI":"10.1145\/1390334.1390363"},{"issue":"2","key":"38_CR22","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1007\/s10115-013-0717-8","volume":"41","author":"T Xu","year":"2014","unstructured":"Xu, T., Zhu, H., Chen, E., Huai, B., Xiong, H., Tian, J.: Learning to annotate via social interaction analytics. Knowl. Inf. Syst. 41(2), 251\u2013276 (2014)","journal-title":"Knowl. Inf. Syst."},{"key":"38_CR23","doi-asserted-by":"crossref","unstructured":"Yuan, N.J., Zhang, F., Lian, D., Zheng, K., Yu, S., Xie, X.: We know how you live: exploring the spectrum of urban lifestyles. In: Proceedings of the First ACM Conference on Online Social Networks, pp. 3\u201314. ACM (2013)","DOI":"10.1145\/2512938.2512945"},{"key":"38_CR24","doi-asserted-by":"crossref","unstructured":"Zhu, C., Zhu, H., Ge, Y., Chen, E., Liu, Q.: Tracking the evolution of social emotions: a time-aware topic modeling perspective. In: 2014 IEEE International Conference on Data Mining, pp. 697\u2013706. IEEE (2014)","DOI":"10.1109\/ICDM.2014.121"},{"key":"38_CR25","unstructured":"Zhu, X., Ghahramani, Z.: Learning from labeled and unlabeled data with label propagation (2002)"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-55699-4_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T18:52:50Z","timestamp":1692730370000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-55699-4_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319556987","9783319556994"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-55699-4_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}