E. Choo, T. Yu, M. Chi, and Y. Sun, Revealing and incorporating implicit communities to improve recommender systems, Proceedings of the fifteenth ACM conference on Economics and computation, EC '14, pp.489-506, 2014.
DOI : 10.1145/2600057.2602906

S. Feng, L. Xing, A. Gogar, and Y. Choi, Distributional footprints of deceptive product reviews, p.ICWSM, 2012.

N. Jindal and B. Liu, Opinion spam and analysis, Proceedings of the international conference on Web search and web data mining , WSDM '08, pp.219-230, 2008.
DOI : 10.1145/1341531.1341560

URL : http://www.cs.uic.edu/~liub/FBS/opinion-spam-WSDM-08.pdf

N. Jindal, B. Liu, and E. P. Lim, Finding unusual review patterns using unexpected rules, Proceedings of the 19th ACM international conference on Information and knowledge management, CIKM '10, pp.1549-1552, 2010.
DOI : 10.1145/1871437.1871669

E. P. Lim, V. A. Nguyen, N. Jindal, B. Liu, and H. W. Lauw, Detecting product review spammers using rating behaviors, Proceedings of the 19th ACM international conference on Information and knowledge management, CIKM '10, pp.939-948, 2010.
DOI : 10.1145/1871437.1871557

Y. Lu, L. Zhang, Y. Xiao, and Y. Li, Simultaneously detecting fake reviews and review spammers using factor graph model, Proceedings of the 5th Annual ACM Web Science Conference on, WebSci '13, pp.225-233, 2013.
DOI : 10.1145/2464464.2464470

A. Mukherjee, A. Kumar, B. Liu, J. Wang, M. Hsu et al., Spotting opinion spammers using behavioral footprints, Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '13, pp.632-640, 2013.
DOI : 10.1145/2487575.2487580

A. Mukherjee, B. Liu, and N. Glance, Spotting fake reviewer groups in consumer reviews, Proceedings of the 21st international conference on World Wide Web, WWW '12, pp.191-200, 2012.
DOI : 10.1145/2187836.2187863

URL : http://www.cs.uic.edu/%7Eliub/publications/WWW-2012-group-spam-camera-final.pdf

M. E. Newman, S. H. Strogatz, and D. J. Watts, Random graphs with arbitrary degree distributions and their applications, Physical Review E, vol.44, issue.2, p.26118, 2001.
DOI : 10.2307/2666995

URL : http://arxiv.org/pdf/cond-mat/0007235

M. Ott, C. Cardie, and J. T. Hancock, Negative deceptive opinion spam, HLT- NAACL, pp.497-501, 2013.
DOI : 10.3115/v1/w14-2606

URL : https://doi.org/10.3115/v1/w14-2606

M. Ott, Y. Choi, C. Cardie, and J. T. Hancock, Finding deceptive opinion spam by any stretch of the imagination. arXiv preprint arXiv, pp.1107-4557, 2011.

D. Quercia, H. Askham, and J. Crowcroft, TweetLDA, Proceedings of the 3rd Annual ACM Web Science Conference on, WebSci '12, pp.247-250
DOI : 10.1145/2380718.2380750

A. A. Sheibani, Opinion mining and opinion spam: A literature review focusing on product reviews, 6th International Symposium on Telecommunications (IST), pp.6-1109, 2012.
DOI : 10.1109/ISTEL.2012.6483152

V. Singh, R. Piryani, A. Uddin, and P. Waila, Sentiment analysis of movie reviews: A new feature-based heuristic for aspect-level sentiment classification, 2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), pp.712-717, 2013.
DOI : 10.1109/iMac4s.2013.6526500

G. Wang, S. Xie, B. Liu, and P. S. Yu, Review Graph Based Online Store Review Spammer Detection, 2011 IEEE 11th International Conference on Data Mining, pp.11-1242, 2011.
DOI : 10.1109/ICDM.2011.124

URL : http://www.cs.uic.edu/%7Eliub/publications/ICDM-2011-final.pdf

S. Xie, G. Wang, S. Lin, and P. S. Yu, Review spam detection via temporal pattern discovery, Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '12, pp.823-831, 2012.
DOI : 10.1145/2339530.2339662

URL : https://www.cs.uic.edu/%7Eslin/assets/Xie_KDD2012.pdf

K. H. Yoo and U. Gretzel, Comparison of deceptive and truthful travel reviews. Information and communication technologies in tourism, pp.37-47, 2009.