Y. Bachrach, M. Kosinski, T. Graepel, P. Kohli, and D. Stillwell, Personality and patterns of Facebook usage, Proceedings of the 3rd Annual ACM Web Science Conference on, WebSci '12, pp.24-32
DOI : 10.1145/2380718.2380722

S. Bartunov, A. Korshunov, S. Park, W. Ryu, and H. Lee, Joint Link-attribute User Identity Resolution in Online Social Networks, SNA-KDD Workshop, p.2012

A. M. Benis, Npa personality theory. Speculations in Science & Technology, pp.167-175, 1990.

N. Bennacer, C. N. Jipmo, A. Penta, and G. Quercini, Matching User Profiles Across Social Networks, International Conference on Advanced Information Systems Engineering, pp.424-438
DOI : 10.1007/978-3-319-07881-6_29
URL : https://hal.archives-ouvertes.fr/hal-01005347

P. Bhattacharya, M. B. Zafar, N. Ganguly, S. Ghosh, and K. P. Gummadi, Inferring user interests in the Twitter social network, Proceedings of the 8th ACM Conference on Recommender systems, RecSys '14, pp.357-360
DOI : 10.1145/2645710.2645765

V. D. Blondel, J. Guillaume, R. Lambiotte, and E. Lefebvre, Fast unfolding of communities in large networks, Journal of Statistical Mechanics: Theory and Experiment, vol.2008, issue.10, p.10008, 2008.
DOI : 10.1088/1742-5468/2008/10/P10008
URL : https://hal.archives-ouvertes.fr/hal-01146070

S. Brin and L. Page, The anatomy of a large-scale hypertextual Web search engine, Computer Networks and ISDN Systems, vol.30, issue.1-7, pp.107-117, 1998.
DOI : 10.1016/S0169-7552(98)00110-X

F. Buccafurri, G. Lax, A. Nocera, and D. Ursino, Discovering Links among Social Networks, Machine Learning and Knowledge Discovery in Databases, pp.467-482
DOI : 10.1007/978-3-642-33486-3_30
URL : https://link.springer.com/content/pdf/10.1007%2F978-3-642-33486-3_30.pdf

W. A. Burkhard and R. M. Keller, Some approaches to best-match file searching, Communications of the ACM, vol.16, issue.4, pp.230-236, 1973.
DOI : 10.1145/362003.362025

I. Cantador, I. Fernández-tobías, and A. Bellogín, Relating personality types with user preferences in multiple entertainment domains, CEUR Workshop Proceedings. Shlomo Berkovsky, 2013.

F. Carmagnola and F. Cena, User identification for cross-system personalisation, Information Sciences, vol.179, issue.1-2, pp.16-32, 2009.
DOI : 10.1016/j.ins.2008.08.022
URL : https://iris.unito.it/bitstream/2318/69255/3/identification_4aperto.pdf

J. Chen, O. Zaïane, and R. Goebel, Local Community Identification in Social Networks, 2009 International Conference on Advances in Social Network Analysis and Mining, pp.237-242, 2009.
DOI : 10.1109/ASONAM.2009.14

R. L. Cilibrasi and P. M. Vitanyi, The Google Similarity Distance, IEEE Transactions on Knowledge and Data Engineering, vol.19, issue.3, 2007.
DOI : 10.1109/TKDE.2007.48

A. Clauset, M. E. Newman, and C. Moore, Finding community structure in very large networks, Physical Review E, vol.23, issue.6, p.66111, 2004.
DOI : 10.1140/epjb/e2004-00125-x

K. Cortis, S. Scerri, I. Rivera, and S. Handschuh, Discovering Semantic Equivalence of People Behind Online Profiles, Proceedings of the Resource Discovery (RED) Workshop, p.114

J. M. Digman, Personality structure: Emergence of the five-factor model. Annual review of psychology, pp.417-440, 1990.

Y. Ding and J. Jiang, Extracting Interest Tags from Twitter User Biographies, Information Retrieval Technology, pp.268-279
DOI : 10.1007/978-3-319-12844-3_23

P. Ferragina and U. Scaiella, TAGME, Proceedings of the 19th ACM international conference on Information and knowledge management, CIKM '10, pp.1625-1628, 2010.
DOI : 10.1145/1871437.1871689

M. Gamon, A. Aue, S. Corston-oliver, and E. Ringger, Pulse: Mining Customer Opinions from Free Text, Advances in Intelligent Data Analysis VI, pp.121-132, 2005.
DOI : 10.1007/11552253_12

O. Goga, H. Lei, S. H. Parthasarathi, G. Friedland, R. Sommer et al., Exploiting innocuous activity for correlating users across sites, Proceedings of the 22nd international conference on World Wide Web, WWW '13, pp.447-458
DOI : 10.1145/1900546.1900567
URL : https://hal.archives-ouvertes.fr/hal-00827649

J. Golbeck, C. Robles, M. Edmondson, and K. Turner, Predicting personality from twitter In Privacy, security, risk and trust (passat), ieee third international conference on and 2011 ieee third international conference on social computing (socialcom), pp.149-156, 2011.

J. Golbeck and M. Rothstein, Linking Social Networks on the Web with FOAF: A Semantic Web Case Study, AAAI, pp.1138-1143, 2008.

L. R. Goldberg, An alternative "description of personality": The Big-Five factor structure., Journal of Personality and Social Psychology, vol.59, issue.6, pp.1216-72, 1990.
DOI : 10.1037/0022-3514.59.6.1216

L. R. Goldberg, The structure of phenotypic personality traits., American Psychologist, vol.48, issue.1, p.26, 1993.
DOI : 10.1037/0003-066X.48.1.26

L. A. Gottschalk, The unobtrusive measurement of psychological states and traits. Text analysis for the social sciences: Methods for drawing statistical inferences from texts and transcripts, pp.117-129, 1997.

L. A. Gottschalk and G. C. Gleser, The measurement of psychological states through the content analysis of verbal behavior, 1969.

R. Gross and A. Acquisti, Information revelation and privacy in online social networks, Proceedings of the 2005 ACM workshop on Privacy in the electronic society , WPES '05, pp.71-80, 2005.
DOI : 10.1145/1102199.1102214

W. He, H. Liu, J. He, S. Tang, and X. Du, Extracting Interest Tags for Non-famous Users in Social Network, Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, CIKM '15, pp.861-870
DOI : 10.1145/1531674.1531710

J. B. Hirsh and J. B. Peterson, Personality and language use in self-narratives, Journal of Research in Personality, vol.43, issue.3, pp.524-527, 2009.
DOI : 10.1016/j.jrp.2009.01.006

P. Jain, P. Kumaraguru, and A. Joshi, @i seek 'fb.me', Proceedings of the 22nd International Conference on World Wide Web, WWW '13 Companion, pp.1259-1268
DOI : 10.1109/SP.2009.22

D. Jannach, M. Zanker, A. Felfernig, and G. Friedrich, Recommender Systems: An Introduction, 2010.
DOI : 10.1017/CBO9780511763113

C. N. Jipmo, G. Quercini, and N. Bennacer, Catégorisation et désambiguïsation des intérêts des individus dans le web social, EGC, pp.523-524

C. N. Jipmo, G. Quercini, and N. Bennacer, Catégorisation et Désambiguïsation des Intérêts des Individus dans le Web Social, EGC, pp.523-524

M. Joshi and N. Belsare, BlogHarvest: Blog Mining and Search Framework, In COMAD, pp.226-229, 2006.

C. G. Jung, PSYCHOLOGICAL TYPES, The Journal of Nervous and Mental Disease, vol.60, issue.2, 1923.
DOI : 10.1097/00005053-192408000-00081

R. Kannan, S. Vempala, and A. Vetta, On clusterings, Journal of the ACM, vol.51, issue.3, pp.497-515, 2004.
DOI : 10.1145/990308.990313

A. D. Kramer and K. Rodden, Word usage and posting behaviors, Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems , CHI '08, pp.1125-1128, 2008.
DOI : 10.1145/1357054.1357230

B. Krishnamurthy and C. E. Wills, On the Leakage of Personally Identifiable Information via Online Social Networks, Proceedings of the 2nd ACM Workshop on Online Social Networks, pp.7-12, 2009.

J. Lafferty, A. Mccallum, and F. C. Pereira, Conditional random fields: Probabilistic models for segmenting and labeling sequence data, 2001.

X. Li, L. Guo, and Y. E. Zhao, Tag-based social interest discovery, Proceeding of the 17th international conference on World Wide Web , WWW '08, pp.675-684, 2008.
DOI : 10.1145/1367497.1367589

L. Little, P. Briggs, and L. Coventry, Who Knows about Me?: An Analysis of Age-related Disclosure Preferences, Proceedings of the 25th BCS Conference on Human-Computer Interaction , BCS-HCI '11, pp.84-87, 2011.

B. Liu, Sentiment Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies, pp.1-167

A. Malhotra, L. Totti, W. Meira, P. Kumaraguru, and V. Almeida, Studying User Footprints in Different Online Social Networks, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp.2012-114
DOI : 10.1109/ASONAM.2012.184

M. Michelson and S. A. Macskassy, Discovering users' topics of interest on twitter, Proceedings of the fourth workshop on Analytics for noisy unstructured text data, AND '10, pp.73-80, 2010.
DOI : 10.1145/1871840.1871852

R. Mihalcea and P. Tarau, Textrank: Bringing order into text, EMNLP, pp.404-411, 2004.

D. Milne and I. H. Witten, An effective, low-cost measure of semantic relatedness obtained from wikipedia links, Proceeding of AAAI Workshop on Wikipedia and Artificial Intelligence: an Evolving Synergy, pp.25-30, 2008.

A. Moro, A. Raganato, and R. Navigli, Entity Linking meets Word Sense Disambiguation: a Unified Approach, pp.231-244

M. Motoyama and G. Varghese, I seek you, Proceeding of the eleventh international workshop on Web information and data management, WIDM '09, pp.67-75, 2009.
DOI : 10.1145/1651587.1651604

A. Narayanan and V. Shmatikov, De-anonymizing Social Networks, 2009 30th IEEE Symposium on Security and Privacy, pp.173-187, 2009.
DOI : 10.1109/SP.2009.22
URL : http://arxiv.org/pdf/0903.3276

J. Nerbonne, The Secret Life of Pronouns. What Our Words Say About Us, Literary and Linguistic Computing, vol.1, issue.4, pp.139-142
DOI : 10.1075/ssol.1.1.04pen

M. E. Newman, Fast algorithm for detecting community structure in networks, Physical Review E, vol.33, issue.6, p.66133, 2004.
DOI : 10.1098/rsbl.2003.0057

M. E. Newman and M. Girvan, Finding and evaluating community structure in networks, Physical Review E, vol.65, issue.2, p.26113, 2004.
DOI : 10.1103/PhysRevE.68.065103
URL : http://arxiv.org/pdf/cond-mat/0308217

N. P. Nguyen, T. N. Dinh, Y. Xuan, and M. T. Thai, Adaptive algorithms for detecting community structure in dynamic social networks, 2011 Proceedings IEEE INFOCOM, pp.2282-2290, 2011.
DOI : 10.1109/INFCOM.2011.5935045

M. Obschonka and C. Fisch, Entrepreneurial personalities in political leadership, Small Business Economics, vol.91, issue.2, pp.1-19
DOI : 10.1037/0021-9010.91.2.259

M. Obschonka, C. Fisch, and R. Boyd, Using digital footprints in entrepreneurship research: A Twitter-based personality analysis of superstar entrepreneurs and managers, Journal of Business Venturing Insights, vol.8, pp.13-23
DOI : 10.1016/j.jbvi.2017.05.005

A. Ochiai, Zoogeographical Studies on the Soleoid Fishes Found in Japan and its Neighhouring Regions-II, NIPPON SUISAN GAKKAISHI, vol.22, issue.9, pp.526-530, 1957.
DOI : 10.2331/suisan.22.526

A. Odic, M. Tkalcic, J. F. Tasic, and A. Kosir, Personality and social context: Impact on emotion induction from movies, UMAP Workshops, 2013.

D. Parra and P. Brusilovsky, Collaborative filtering for social tagging systems, Proceedings of the third ACM conference on Recommender systems, RecSys '09, pp.237-240, 2009.
DOI : 10.1145/1639714.1639757

D. M. Pennock, E. Horvitz, S. Lawrence, and C. L. Giles, Collaborative filtering by personality diagnosis: A hybrid memory-and model-based approach, Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence, pp.473-480, 2000.

D. Perito, C. Castelluccia, M. A. Kaafar, and P. Manils, How Unique and Traceable Are Usernames?, Privacy Enhancing Technologies, pp.1-17, 2011.
DOI : 10.1007/978-3-642-22263-4_1
URL : https://hal.archives-ouvertes.fr/hal-00747495

G. Quercini, N. Bennacer, M. Ghufran, and C. N. Jipmo, LIAISON: reconciLIAtion of Individuals Profiles Across SOcial Networks, Advances in Knowledge Discovery and Management, pp.229-253, 2017.
DOI : 10.1109/NBiS.2010.35

E. Raad, R. Chbeir, and A. Dipanda, User Profile Matching in Social Networks, 2010 13th International Conference on Network-Based Information Systems, pp.297-304, 2010.
DOI : 10.1109/NBiS.2010.35
URL : https://hal.archives-ouvertes.fr/hal-00643509

M. Raghuram, K. Akshay, and K. Chandrasekaran, Efficient User Profiling in Twitter Social Network Using Traditional Classifiers, Intelligent Systems Technologies and Applications, pp.399-411
DOI : 10.1007/978-3-319-23258-4_35

M. S. Raje and A. Singh, Personality Detection by Analysis of Twitter Profiles, International Conference on Soft Computing and Pattern Recognition, pp.667-675
DOI : 10.1109/BRICS-CCI-CBIC.2013.41

D. Rawlings and V. Ciancarelli, Music Preference and the Five-Factor Model of the NEO Personality Inventory, Psychology of Music, vol.20, issue.2, pp.120-132, 1997.
DOI : 10.1007/978-1-4899-2043-0_13

P. J. Rentfrow, L. R. Goldberg, and R. Zilca, Listening, Watching, and Reading: The Structure and Correlates of Entertainment Preferences, Journal of Personality, vol.109, issue.2, pp.223-258, 2011.
DOI : 10.1037/0033-2909.109.3.371

P. J. Rentfrow and S. D. Gosling, The do re mi's of everyday life: The structure and personality correlates of music preferences., Journal of Personality and Social Psychology, vol.84, issue.6, p.1236, 2003.
DOI : 10.1037/0022-3514.84.6.1236

M. Rowe, Interlinking Distributed Social Graphs, Linked Data on the Web Workshop, p.114, 2009.

H. A. Schwartz, J. C. Eichstaedt, M. L. Kern, L. Dziurzynski, S. M. Ramones et al., Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach, PLoS ONE, vol.59, issue.9, pp.73791-2013
DOI : 10.1371/journal.pone.0073791.s004

N. Spasojevic, J. Yan, A. Rao, and P. Bhattacharyya, LASTA, Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '14, pp.1809-1818
DOI : 10.1145/2623330.2623350

K. Steinhaeuser and N. V. Chawla, Identifying and evaluating community structure in complex networks, Pattern Recognition Letters, vol.31, issue.5, pp.413-421, 2010.
DOI : 10.1016/j.patrec.2009.11.001

J. Stoyanovich, S. Amer-yahia, C. Marlow, and C. Yu, Leveraging Tagging to Model User Interests in del. icio. us, AAAI Spring Symposium: Social Information Processing, pp.104-109, 2008.

F. Stutzman, An Evaluation of Identity-Sharing Behavior in Social Network Communities, Journal, vol.3, issue.1, 2006.

Y. R. Tausczik and J. W. Pennebaker, The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods, Journal of Language and Social Psychology, vol.5, issue.1, pp.24-54, 2010.
DOI : 10.1023/B:GRUP.0000011944.62889.6f

K. H. Tso-sutter, L. B. Marinho, and L. Schmidt-thieme, Tag-aware recommender systems by fusion of collaborative filtering algorithms, Proceedings of the 2008 ACM symposium on Applied computing , SAC '08, pp.1995-1999, 2008.
DOI : 10.1145/1363686.1364171

E. C. Tupes and R. E. , Recurrent Personality Factors Based on Trait Ratings, Journal of Personality, vol.23, issue.1, pp.225-251, 1992.
DOI : 10.1037/e522552009-001
URL : http://www.dtic.mil/cgi-bin/GetTRDoc?AD=AD0267778&Location=U2&doc=GetTRDoc.pdf

E. Viennet, Community detection based on structural and attribute similarities, ICDS 2012 The Sixth International Conference on Digital Society, pp.7-12

T. Vu and V. Perez, Interest mining from user tweets, Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, CIKM '13, pp.1869-1872, 2013.
DOI : 10.1145/2505515.2507883

T. Wang, H. Liu, J. He, and X. Du, Mining User Interests from Information Sharing Behaviors in Social Media, Advances in Knowledge Discovery and Data Mining, pp.85-98
DOI : 10.1007/978-3-642-37456-2_8

X. Wang, H. Liu, and W. Fan, Connecting users with similar interests via tag network inference, Proceedings of the 20th ACM international conference on Information and knowledge management, CIKM '11, pp.1019-1024, 2011.
DOI : 10.1145/2063576.2063723
URL : http://www.public.asu.edu/~huanliu/papers/cikm11Wang.pdf

Z. Wen and C. Lin, On the quality of inferring interests from social neighbors, Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '10, pp.373-382, 2010.
DOI : 10.1145/1835804.1835853

Z. Wen and C. Lin, Improving user interest inference from social neighbors, Proceedings of the 20th ACM international conference on Information and knowledge management, CIKM '11, pp.1001-1006, 2011.
DOI : 10.1145/2063576.2063720

J. Weng, E. Lim, J. Jiang, and Q. He, TwitterRank, Proceedings of the third ACM international conference on Web search and data mining, WSDM '10, pp.261-270, 2010.
DOI : 10.1145/1718487.1718520

Z. Xu, R. Lu, L. Xiang, and Q. Yang, Discovering User Interest on Twitter with a Modified Author-Topic Model, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, pp.422-429, 2011.
DOI : 10.1109/WI-IAT.2011.47

R. Zafarani and H. Liu, Connecting Corresponding Identities across Communities, Third International AAAI Conference on Weblogs and Social Media, p.114, 2009.

F. Zarrinkalam, H. Fani, E. Bagheri, M. Kahani, and W. Du, Semantics-Enabled User Interest Detection from Twitter, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pp.469-476, 2015.
DOI : 10.1109/WI-IAT.2015.182

Z. Zhang, T. Zhou, and Y. Zhang, Personalized Recommendation via Integrated Diffusion on User?Item?Tag Tripartite Graphs. Physica A: Statistical Mechanics and its Applications, pp.179-186, 2010.
DOI : 10.1016/j.physa.2009.08.036
URL : http://arxiv.org/pdf/0904.1989