M. David, . Blei, Y. Andrew, . Ng, I. Michael et al., Latent dirichlet allocation, the Journal of machine Learning research, vol.3, issue.57, pp.993-1022, 2003.

D. Blei and J. Lafferty, Correlated topic models, 2006.

M. David, . Blei, D. John, and . Lafferty, Dynamic topic models, Proceedings of the 23rd international conference on Machine learning, pp.113-120, 2006.

M. David and . Blei, Probabilistic Topic Models, Commun. ACM, vol.55, issue.4, pp.77-84, 2012.

M. Bouguessa, B. Dumoulin, and S. Wang, Identifying authoritative actors in question-answering forums, Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD 08, pp.866-874, 2008.
DOI : 10.1145/1401890.1401994

G. John, S. Breslin, and . Decker, Andreas Harth and Uldis Bojars SIOC: an approach to connect web-based communities, IJWBC, vol.2, issue.2, pp.133-142, 2006.

G. John, S. Breslin, and . Decker, The Future of Social Networks on the Internet: The Need for Semantics, IEEE Internet Computing, vol.11, issue.6, pp.86-90, 2007.

C. Basave-2014-]-amparo-elizabeth-cano-basave, Y. He, and R. Xu, Automatic labelling of topic models learned from twitter by summarisation, p.2014

]. Chang, J. Boyd-graber, C. Wang, S. Gerrish, and D. M. Blei, Reading Tea Leaves: How Humans Interpret Topic Models, Neural Information Processing Systems, 2009.

C. Shuo and A. Pal, Routing Questions for Collaborative Answering in Community Question Answering, Proceedings of the, pp.494-501, 2013.

. Scott-deerwester, T. Susan, . Dumais, W. George, . Furnas et al., Indexing by latent semantic analysis, Journal of the American Society for Information Science, vol.41, issue.6, p.391, 1990.
DOI : 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9

Q. Diao, J. Jiang, F. Zhu, and E. Lim, Finding bursty topics from microblogs, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers, pp.536-544, 2012.

G. Erétéo, M. Buffa, F. Gandon, and O. Corby, Analysis of a Real Online Social Network Using Semantic Web Frameworks, 8th International Semantic Web Conference Proceedings, pp.180-195, 2009.

]. Feigenbaum, I. Herman, T. Hongsermeier, E. N. Bibliography, and S. Stephens, The Semantic Web in Action, Scientific American, vol.297, issue.6, pp.90-97, 2007.
DOI : 10.1038/scientificamerican1207-90

F. Gandon, M. Buffa, E. Cabrio, O. Corby, C. Faron-zucker et al., Challenges in Bridging Social Semantics and Formal Semantics on the Web, 5h International Conference, pp.3-15, 2013.
DOI : 10.1007/978-3-319-09492-2_1

URL : https://hal.archives-ouvertes.fr/hal-01059273

]. Gargi, W. Lu, S. Vahab, S. Mirrokni, and . Yoon, Large- Scale Community Detection on YouTube for Topic Discovery and Exploration, ICWSM, p.29, 2011.

M. Girvan, E. Mark, and . Newman, Community structure in social and biological networks, Proceedings of the national academy of sciences, pp.7821-7826, 2002.
DOI : 10.1073/pnas.122653799

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC122977

L. Thomas, M. Griffiths, and . Steyvers, Finding scientific topics, Proceedings of the National Academy of Sciences, pp.5228-5235, 2004.

]. Guo, S. Xu, S. Bao, and Y. Yu, Tapping on the Potential of Q&#38;a Community by Recommending Answer Providers, Proceedings of the 17th ACM Conference on Information and Knowledge Management , CIKM '08, pp.921-930, 2008.

]. Guo, S. Xu, S. Bao, and Y. Yu, Tapping on the potential of q&a community by recommending answer providers, Proceeding of the 17th ACM conference on Information and knowledge mining, CIKM '08, 2008.
DOI : 10.1145/1458082.1458204

]. Harper, D. Raban, S. Rafaeli, and J. A. Konstan, Predictors of answer quality in online Q&A sites, Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems , CHI '08, pp.865-874, 2008.
DOI : 10.1145/1357054.1357191

]. Hofmann, Probabilistic latent semantic analysis, Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence, pp.289-296, 1999.

]. Hofmann, Probabilistic latent semantic indexing, Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '99, pp.50-57, 1999.
DOI : 10.1145/312624.312649

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

]. Hu, J. Yao, and B. Cui, User Group Oriented Temporal Dynamics Exploration, Twenty-Eighth AAAI14, pp.34-41, 2014.

]. Hulpus, C. Hayes, M. Karnstedt, and D. Greene, Unsupervised graph-based topic labelling using dbpedia, Proceedings of the sixth ACM international conference on Web search and data mining, WSDM '13, pp.465-474, 2013.
DOI : 10.1145/2433396.2433454

URL : https://aran.library.nuigalway.ie/bitstream/10379/4528/1/wsdm_noCopyright.pdf

B. Jiwoon-jeon, J. Croft, and . Ho-lee, Finding similar questions in large question and answer archives, Proceedings of the 14th ACM international conference on Information and knowledge management , CIKM '05, pp.84-90, 2005.
DOI : 10.1145/1099554.1099572

J. Ji and B. Wang, Learning to rank for question routing in community question answering Community-based Topic Modeling for Social Tagging, Proceedings of the 22nd ACM international conference on Proc. of the 19th ACM CIKM, CIKM '10, pp.1565-1568, 2010.

L. Liu and M. Zsu, Encyclopedia of database systems, 2009.

]. Ma, A. Sun, Q. Yuan, and G. Cong, A Tri-Role Topic Model for Domain-Specific Question Answering, Twenty-Ninth AAAI Conference on Artificial Intelligence, p.2015, 2015.

M. Peter, Ontologies are us: A unified model of social networks and semantics, Web Semantics: Science, Services and Agents on the World Wide Web, vol.5, issue.1, pp.5-15, 2007.

]. Moens, J. Li, and T. Chua, Mining user generated content, 2014.

A. Moro, A. Raganato, and R. Navigli, Entity Linking meets Word Sense Disambiguation: a Unified Approach, Transactions of the Association for Computational Linguistics (TACL), vol.2, pp.231-244, 2014.

Y. Andrew, M. I. Ng, Y. Jordan, and . Weiss, On Spectral Clustering: Analysis and an algorithm, ADVANCES IN NEURAL INFORMATION PRO- CESSING SYSTEMS, pp.849-856, 2001.

]. Omitola, A. Sebastián, J. G. Ríos, and . Breslin, Social semantic web mining. Synthesis Lectures on the Semantic Web: Theory and Technology, 2015.
DOI : 10.2200/s00623ed1v01y201412wbe010

]. Page, S. Brin, R. Motwani, and T. Winograd, The PageRank citation ranking: bringing order to the web, 1999.

A. Pal and J. A. Konstan, Expert identification in community question answering, Proceedings of the 19th ACM international conference on Information and knowledge management, CIKM '10, pp.1505-1508, 2010.
DOI : 10.1145/1871437.1871658

A. Pal, R. Farzan, A. Joseph, . Konstan, E. Robert et al., Early Detection of Potential Experts in Question Answering Communities, User Modeling, Adaption and Personalization, pp.231-242, 2011.
DOI : 10.1007/978-3-642-22362-4_20

H. Christos, H. Papadimitriou, P. Tamaki, S. Raghavan, and . Vempala, Latent semantic indexing: A probabilistic analysis, Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, pp.159-168, 1998.

H. Park and C. Chung, An efficient MapReduce algorithm for counting triangles in a very large graph, Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, CIKM '13, pp.539-548, 2013.
DOI : 10.1145/2505515.2505563

S. The and . Project, Semantically-Interlinked Online Communities, from Humans to Machines In Coordination, Organizations, Institutions and Norms in Agent Systems V, COIN 2009 International Workshops, COIN@AAMAS, pp.179-194, 2009.

G. Qu, X. Qiu, C. He, H. Zhang, J. Wu et al., Probabilistic question recommendation for question answering communities, Proceedings of the 18th international conference on World wide web, WWW '09, pp.1229-1230, 2009.
DOI : 10.1145/1526709.1526942

C. Shah and J. Pomerantz, Evaluating and predicting answer quality in community QA, Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval, SIGIR '10, pp.411-418, 2010.
DOI : 10.1145/1835449.1835518

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

N. Andrew, E. Smith, C. Fischer, and . Yongjian, How does brandrelated user-generated content differ across YouTube, Facebook, and Twitter, Journal of Interactive Marketing, vol.26, issue.2, pp.102-113, 2012.

]. Sun, Y. Xiao, H. Wang, and W. Wang, On conceptual labeling of a bag of words, Proceedings of the 24th International Conference on Artificial Intelligence, pp.1326-1332, 2015.

J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang et al., Arnet- Miner: extraction and mining of academic social networks, Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, pp.990-998, 2008.

S. Thrun, L. K. Saul, and B. Schölkopf, Advances in neural information processing systems 16 [neural information processing systems, NIPS 2003, december 8-13, 2003, vancouver and whistler, british columbia, 2004.

]. Wang, C. Zhai, X. Hu, and R. Sproat, Mining correlated bursty topic patterns from coordinated text streams, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '07, pp.784-793, 2007.
DOI : 10.1145/1281192.1281276

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

]. Watson, Causewired: plugging in, getting involved, changing the world, 2008.

X. Wei and W. B. Croft, LDA-based document models for ad-hoc retrieval, Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '06, pp.178-185, 2006.
DOI : 10.1145/1148170.1148204

H. Wu, Y. Wang, and X. Cheng, Incremental probabilistic latent semantic analysis for automatic question recommendation, Proceedings of the 2008 ACM conference on Recommender systems, RecSys '08, pp.99-106, 2008.
DOI : 10.1145/1454008.1454026

S. Xie-2013-]-jierui-xie, B. K. Kelley, and . Szymanski, Overlapping community detection in networks: The state-of-the-art and comparative study, ACM Comput. Surv, vol.45, issue.4, pp.43-71, 2013.

]. Xu, Y. Ke, Y. Wang, H. Cheng, and J. Cheng, A modelbased approach to attributed graph clustering, SIGMOD Conference, pp.505-516, 2012.

]. Yang, J. Mcauley, and J. Leskovec, Community Detection in Networks with Node Attributes, 2013 IEEE 13th International Conference on Data Mining, pp.1151-1156, 2013.
DOI : 10.1109/ICDM.2013.167

M. Liu-yang, S. Qiu, F. Gottipati, J. Zhu, H. Jiang et al., CQArank: jointly model topics and expertise in community question answering, Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, pp.99-108, 2013.

]. Yao, B. Cui, Y. Huang, and Y. Zhou, Detecting bursty events in collaborative tagging systems, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), pp.780-783, 2010.
DOI : 10.1109/ICDE.2010.5447922

]. Yao, B. Cui, Y. Huang, and Y. Zhou, Bursty event detection from collaborative tags, World Wide Web, vol.2, issue.4, pp.171-195, 2012.
DOI : 10.1007/s11280-011-0136-2

H. Yin, B. Cui, H. Lu, Y. Huang, and J. Yao, A unified model for stable and temporal topic detection from social media data, Data Engineering (ICDE), 2013 IEEE 29th International Conference on, pp.661-672, 2013.

M. S. Zhang, L. Ackerman, and . Adamic, Expertise networks in online communities, Proceedings of the 16th international conference on World Wide Web , WWW '07, pp.221-230, 2007.
DOI : 10.1145/1242572.1242603

J. Wayne-xin-zhao, J. Jiang, J. Weng, E. He, H. Lim et al., Comparing twitter and traditional media using topic models, Advances in Information Retrieval, pp.338-349, 2011.

]. Zhou, S. Lai, K. Liu, and J. Zhao, Topic-sensitive probabilistic model for expert finding in question answer communities, Proceedings of the 21st ACM international conference on Information and knowledge management, CIKM '12, pp.1662-1666, 2012.
DOI : 10.1145/2396761.2398493

]. Zhou, M. R. Lyu, and I. King, A classification-based approach to question routing in community question answering, Proceedings of the 21st international conference companion on World Wide Web, WWW '12 Companion, p.12, 2012.
DOI : 10.1145/2187980.2188201