Aggarwal, C. C., Kong, X., Gu, Q., Han, J., & Philip, S. Y. (2014). Active learning: A survey. In Data Classification (pp. 589-623). Chapman and Hall/CRC.
Ajzen, I. (1987). Attitudes, traits, and actions: Dispositional prediction of behavior in personality and social psychology. In Advances in experimental social psychology (Vol. 20, pp. 1-63). Academic Press.
Alowibdi, J. S., Buy, U. A., Philip, S. Y., & Stenneth, L. (2014, August). Detecting deception in online social networks. In Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on (pp. 383-390). IEEE.
Alkemade, F., La Poutré, H., & Amman, H. M. (2006). Robust evolutionary algorithm design for socio-economic simulation. Computational Economics, 28(4), 355-370.
Amon, K. L., Campbell, A. J., Hawke, C., & Steinbeck, K. (2014). Facebook as a recruitment tool for adolescent health research: a systematic review. Academic Pediatrics, 14(5), 439-447.
Araujo, T., Neijens, P., & Vliegenthart, R. (2015). What Motivates Consumers To Re-Tweet Brand Con-tent?: The impact of information, emotion, and traceability on pass-along behavior. Journal of Adver-tising Research, 55(3), 284-295.
Armenatzoglou, N., Papadopoulos, S., & Papadias, D. (2013). A general framework for geo-social query processing. Proceedings of the VLDB Endowment, 6(10), 913-924.
Arcia, A. (2014). Facebook advertisements for inexpensive participant recruitment among women in ear-ly pregnancy. Health Education & Behavior, 41(3), 237-241.
Aslay, C., Lu, W., Bonchi, F., Goyal, A., & Lakshmanan, L. V. (2015). Viral marketing meets social ad-vertising: Ad allocation with minimum regret. Proceedings of the VLDB Endowment, 8(7), 814-825.
Atkinson, A. M., Ross-Houle, K. M., Begley, E., & Sumnall, H. (2017). An exploration of alcohol adver-tising on social networking sites: an analysis of content, interactions and young people’s perspectives. Addiction Research & Theory, 25(2), 91-102.
Bakshy, E., Eckles, D., Yan, R., & Rosenn, I. (2012, June). Social influence in social advertising: evi-dence from field experiments. In Proceedings of the 13th ACM conference on electronic commerce (pp. 146-161). ACM.
Banerjee, A. V. (1992). A simple model of herd behavior. The quarterly journal of economics, 107(3), 797-817.
Bass, F. M. (1969). A new product growth for model consumer durables. Management science, 15(5), 215-227.
Batterham, P. J. (2014). Recruitment of mental health survey participants using Internet advertising: con-tent, characteristics and cost effectiveness. International journal of methods in psychiatric research, 23(2), 184-191.
Belmonte-Jimenez, A. M. (1988). Young People as Users of Branded Applications on Mobile Devices.
Bennett, W. L., & Manheim, J. B. (2006). The one-step flow of communication. The ANNALS of the American Academy of Political and Social Science, 608(1), 213-232.
Bhatt, R., Chaoji, V., & Parekh, R. (2010, October). Predicting product adoption in large-scale social networks. In Proceedings of the 19th ACM international conference on Information and knowledge management (pp. 1039-1048). ACM
Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of political Economy, 100(5), 992-1026.
Bimpikis, K., Ozdaglar, A., & Yildiz, E. (2016). Competitive targeted advertising over networks. Opera-tions Research, 64(3), 705-720.
Bisgin, H., Agarwal, N., & Xu, X. (2012). A study of homophily on social media. World Wide Web, 15(2), 213-232.
Boerman, S. C., & Kruikemeier, S. (2016). Consumer responses to promoted tweets sent by brands and political parties. Computers in Human Behavior, 65, 285-294.
Brennan, L., & Binney, W. (2010). Fear, guilt, and shame appeals in social marketing. Journal of business Research, 63(2), 140-146.
Bromley, D. (2002). Comparing corporate reputations: League tables, quotients, benchmarks, or case studies?. Corporate reputation review, 5(1), 35-50.
Burt, R. S. (1987). Social contagion and innovation: Cohesion versus structural equivalence. American journal of Sociology, 92(6), 1287-1335.
Chen, Y. F., & Law, R. (2016). A review of research on electronic word-of-mouth in hospitality and tour-ism management. International Journal of Hospitality & Tourism Administration, 17(4), 347-372.
Chen, Y., Wang, Q., & Xie, J. (2011). Online social interactions: A natural experiment on word of mouth versus observational learning. Journal of marketing research, 48(2), 238-254.
Child, R. J. H., Mentes, J. C., Pavlish, C., & Phillips, L. R. (2014). Using Facebook and participant in-formation clips to recruit emergency nurses for research. Nurse Researcher (2014+), 21(6), 16.
Cho, J. (2008). Political ads and citizen communication. Communication Research, 35(4), 423-451.
Clemons, E. K. (2009). The complex problem of monetizing virtual electronic social networks. Decision Support Systems, 48(1), 46-56.
Clemons, E. K., Barnett, S., & Appadurai, A. (2007, August). The future of advertising and the value of social network websites: some preliminary examinations. In Proceedings of the ninth international con-ference on Electronic commerce (pp. 267-276). ACM.
Close, S., Smaldone, A., Fennoy, I., Reame, N., & Grey, M. (2013). Using information technology and social networking for recruitment of research participants: experience from an exploratory study of pe-diatric Klinefelter syndrome. Journal of medical Internet research, 15(3).
Corazza, O., Valeriani, G., Bersani, F. S., Corkery, J., Martinotti, G., Bersani, G., & Schifano, F. (2014). “Spice,”“kryptonite,”“black mamba”: An overview of brand names and marketing strategies of novel psychoactive substances on the web. Journal of Psychoactive Drugs, 46(4), 287-294.
Costa, H., Benevenuto, F., & Merschmann, L. H. (2013, March). Detecting tip spam in location-based social networks. In Proceedings of the 28th Annual ACM Symposium on Applied Computing (pp. 724-729). ACM.
Costa, H., Merschmann, L. H., Barth, F., & Benevenuto, F. (2014). Pollution, bad-mouthing, and local marketing: The underground of location-based social networks. Information Sciences, 279, 123-137.
Cunha, E., Magno, G., Gonçalves, M. A., Cambraia, C., & Almeida, V. (2014). He votes or she votes? Female and male discursive strategies in Twitter political hashtags. PloS one, 9(1), e87041.
De Cristofaro, E., Friedman, A., Jourjon, G., Kaafar, M. A., & Shafiq, M. Z. (2014, November). Paying for likes?: Understanding facebook like fraud using honeypots. In Proceedings of the 2014 Confer-ence on Internet Measurement Conference (pp. 129-136). ACM.
Deliens, T., Clarys, P., De Bourdeaudhuij, I., & Deforche, B. (2014). Determinants of eating behaviour in university students: a qualitative study using focus group discussions. BMC public health, 14(1), 53
Deliens, T., Deforche, B., De Bourdeaudhuij, I., & Clarys, P. (2015). Determinants of physical activity and sedentary behaviour in university students: a qualitative study using focus group discussions. BMC Public Health, 15(1), 201.
Dinh, T. N., Zhang, H., Nguyen, D. T., & Thai, M. T. (2014). Cost-effective viral marketing for time-critical campaigns in large-scale social networks. IEEE/ACM Transactions on Networking (ToN), 22(6), 2001-2011.
Donelle, L., & Booth, R. G. (2012). Health tweets: an exploration of health promotion on twitter. Online Journal of nursing, 17(4).
Enders, A., Hungenberg, H., Denker, H. P., & Mauch, S. (2008). The long tail of social networking.: Revenue models of social networking sites. European Management Journal, 26(3), 199-211.
Ensor, J., Cottam, A., & Band, C. (2001). Fostering knowledge management through the creative work environment: a portable model from the advertising industry. Journal of Information Science, 27(3), 147-155.
Fenner, Y., Garland, S. M., Moore, E. E., Jayasinghe, Y., Fletcher, A., Tabrizi, S. N., ... & Wark, J. D. (2012). Web-based recruiting for health research using a social networking site: an exploratory study. Journal of medical Internet research, 14(1).
Freeman, B., & Chapman, S. (2008). Gone viral? Heard the buzz? A guide for public health practitioners and researchers on how Web 2.0 can subvert advertising restrictions and spread health information. Journal of Epidemiology & Community Health, 62(9), 778-782.
Ginsburg, M., & Weisband, S. (2002, January). Social capital and volunteerism in virtual communities: The case of the internet chess club. In hicss (p. 171b). IEEE.
Gjoka, M., Sirivianos, M., Markopoulou, A., & Yang, X. (2008, August). Poking facebook: characteriza-tion of osn applications. In Proceedings of the first workshop on Online social networks (pp. 31-36). ACM.
Goel, S., & Goldstein, D. G. (2014). Predicting individual behavior with social networks. Marketing Sci-ence, 33(1), 82-93.
Goldenberg, J., Libai, B., & Muller, E. (2001). Talk of the network: A complex systems look at the un-derly process of word-of-mouth. Marketing letters, 12(3), 211-223.
Grbovic, M., Radosavljevic, V., Djuric, N., Bhamidipati, N., Savla, J., Bhagwan, V., & Sharp, D. (2015, August). E-commerce in your inbox: Product recommendations at scale. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1809-1818). ACM.
Greene, J. A., Choudhry, N. K., Kilabuk, E., & Shrank, W. H. (2011). Online social networking by pa-tients with diabetes: a qualitative evaluation of communication with Facebook. Journal of general in-ternal medicine, 26(3), 287-292.
Gupta, S., Lehmann, D. R., & Stuart, J. A. (2004). Valuing customers. Journal of marketing research, 41(1), 7-18.
Guha, S., Cheng, B., & Francis, P. (2010, November). Challenges in measuring online advertising sys-tems. In Proceedings of the 10th ACM SIGCOMM conference on Internet measurement (pp. 81-87). ACM.
Guillory, A., & Bilmes, J. (2010). Interactive submodular set cover. arXiv preprint arXiv:1002.3345.
Guha, S., Tang, K., & Francis, P. (2008, August). NOYB: Privacy in online social networks. In Proceed-ings of the first workshop on Online social networks (pp. 49-54). ACM.
Gunasekaran, B., Jayasinghe, Y., Fenner, Y., Moore, E. E., Wark, J. D., Fletcher, A., ... & Garland, S. M. (2013). Knowledge of human papillomavirus and cervical cancer among young women recruited using a social networking site. Sex Transm Infect, 89(4), 327-329.
Hadija, Z., Barnes, S. B., & Hair, N. (2012). Why we ignore social networking advertising. Qualitative Market Research: An International Journal, 15(1), 19-32.
Hale, T. M., Pathipati, A. S., Zan, S., & Jethwani, K. (2014). Representation of health conditions on Fa-cebook: content analysis and evaluation of user engagement. Journal of medical Internet research, 16(8).
Hansen, S. S., & Lee, J. K. (2013). What drives consumers to pass along marketer-generated eWOM in social network games? social and game factors in play. Journal of theoretical and applied electronic commerce research, 8(1), 53-68.
Hastings, G., & Sheron, N. (2013). Alcohol marketing: grooming the next generation.
Hastings, G., Brooks, O., Stead, M., Angus, K., Anker, T., & Farrell, T. (2010). Alcohol advertising: the last chance saloon. BMJ, 340(23 Jan), 184-186.
Harris, M. L., Loxton, D., Wigginton, B., & Lucke, J. C. (2015). Harris et al. respond to “Social media recruitment”. American journal of epidemiology, 181(10), 750-751.
Heidemann, J., Klier, M., & Probst, F. (2012). Online social networks: A survey of a global phenome-non. Computer networks, 56(18), 3866-3878.
Hemminki, E., Toiviainen, H. K., & Vuorenkoski, L. (2010). Co-operation between patient organisations and the drug industry in Finland. Social science & medicine, 70(8), 1171-1175.
Hernández-Méndez, J., & Muñoz-Leiva, F. (2015). What type of online advertising is most effective for eTourism 2.0? An eye tracking study based on the characteristics of tourists. Computers in Human Behavior, 50, 618-625.
Hiebert, L. D. (1974). Risk, learning, and the adoption of fertilizer responsive seed varieties. American Journal of Agricultural Economics, 56(4), 764-768.
Huang, C. Y., Chou, C. J., & Lin, P. C. (2010). Involvement theory in constructing bloggers' intention to purchase travel products. Tourism Management, 31(4), 513-526.
Iyer, G., Soberman, D., & Villas-Boas, J. M. (2005). The targeting of advertising. Marketing Science, 24(3), 461-476.
Jenssen, B. P., Klein, J. D., Salazar, L. F., Daluga, N. A., & DiClemente, R. J. (2009). Exposure to To-bacco on the Internet: Content Analysis of Adolescents9 Internet Use. Pediatrics, 124(2), e180-e186.
Jing, P., Su, Y., Nie, L., Bai, X., Liu, J., & Wang, M. (2018). Low-rank multi-view embedding learning for micro-video popularity prediction. IEEE Transactions on Knowledge and Data Engineering, 30(8), 1519-1532
Jones, R. B., O'Connor, A., Brelsford, J., Parsons, N., & Skirton, H. (2012). Costs and difficulties of re-cruiting patients to provide e-health support: pilot study in one primary care trust. BMC medical in-formatics and decision making, 12(1), 25.
Kaytoue, M., Silva, A., Cerf, L., Meira Jr, W., & Raïssi, C. (2012, April). Watch me playing, i am a pro-fessional: a first study on video game live streaming. In Proceedings of the 21st International Confer-ence on World Wide Web (pp. 1181-1188). ACM.
Kapp, J. M., Peters, C., & Oliver, D. P. (2013). Research recruitment using Facebook advertising: big po-tential, big challenges. Journal of Cancer Education, 28(1), 134-137.
Kim, D. (2013). Under what conditions will social commerce business models survive?. Electronic Commerce Research and Applications, 12(2), 69-77.
Kosinski, M., Bachrach, Y., Kohli, P., Stillwell, D., & Graepel, T. (2014). Manifestations of user person-ality in website choice and behaviour on online social networks. Machine learning, 95(3), 357-380.
Krasnova, H., Hildebrand, T., & Guenther, O. (2009). Investigating the value of privacy on online social networks: conjoint analysis.
Knoll, J. (2016). Advertising in social media: a review of empirical evidence. International Journal of Advertising, 35(2), 266-300.
Korolova, A. (2010, December). Privacy violations using microtargeted ads: A case study. In Data Min-ing Workshops (ICDMW), 2010 IEEE International Conference on (pp. 474-482). IEEE.
Kwon, K. H., Stefanone, M. A., & Barnett, G. A. (2014). Social network influence on online behavioral choices: exploring group formation on social network sites. American Behavioral Scientist, 58(10), 1345-1360.
Lazarsfeld, P. F., & Merton, R. K. (1954). Friendship as a social process: A substantive and methodolog-ical analysis. Freedom and control in modern society, 18(1), 18-66.
Lee, J., & Hong, I. B. (2016). Predicting positive user responses to social media advertising: The roles of emotional appeal, informativeness, and creativity. International Journal of Information Management, 36(3), 360-373.
Liang, B. A., & Mackey, T. (2011). Direct-to-consumer advertising with interactive internet media: glob-al regulation and public health issues. Jama, 305(8), 824-825.
Li, Y., Zhang, D., & Tan, K. L. (2015). Real-time targeted influence maximization for online advertise-ments. Proceedings of the VLDB Endowment, 8(10), 1070-1081.
Liu, K., & Zhao, Q. (2010, March). Distributed learning in cognitive radio networks: Multi-armed bandit with distributed multiple players. In Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on (pp. 3010-3013). IEEE.
Li, Y. M., Lee, Y. L., & Lien, N. J. (2012). Online social advertising via influential endorsers. Interna-tional Journal of Electronic Commerce, 16(3), 119-154.
Lloret Romero, N. (2011). ROI. Measuring the social media return on investment in a library. The Bot-tom Line, 24(2), 145-151.
Liu, K., & Zhao, Q. (2010). Distributed learning in multi-armed bandit with multiple players. IEEE Transactions on Signal Processing, 58(11), 5667-5681.
Malthouse, E. C., & Blattberg, R. C. (2005). Can we predict customer lifetime value?. Journal of inter-active marketing, 19(1), 2-16.
Manchanda, P., Xie, Y., & Youn, N. (2008). The role of targeted communication and contagion in prod-uct adoption. Marketing Science, 27(6), 961-976
Månsson, M. (2011). Mediatized tourism. Annals of Tourism Research, 38(4), 1634-1652.
Weitzman, E. R., Cole, E., Kaci, L., & Mandl, K. D. (2011). Social but safe? Quality and safety of dia-betes-related online social networks. Journal of the American Medical Informatics Association, 18(3), 292-297
Mart, S., Mergendoller, J., & Simon, M. (2009). Alcohol promotion on Facebook. Journal of Global Drug Policy and Practice, 3(3), 1-8.
Margarida Barreto, A. (2013). Do users look at banner ads on Facebook?. Journal of Research in Inter-active Marketing, 7(2), 119-139.
Mart, S. M. (2011). Alcohol marketing in the 21st century: new methods, old problems. Substance use & misuse, 46(7), 889-892.
Mackey, T. K., & Liang, B. A. (2013). Pharmaceutical digital marketing and governance: illicit actors and challenges to global patient safety and public health. Globalization and health, 9(1), 45.
Malandrino, D., Scarano, V., & Spinelli, R. (2013, September). How increased awareness can impact at-titudes and behaviors toward online privacy protection. In Social Computing (SocialCom), 2013 In-ternational Conference on (pp. 57-62). IEEE.
Manderson, L., Canaway, R., Unantenne, N., Oldenburg, B., Lin, V., Hollingsworth, B., & de Courten, M. (2012). Care seeking, use of complementary therapies and self management among people with type 2 diabetes and cardiovascular disease. Australian Journal of Herbal Medicine, 24(1), 10.
Manski, C. F. (2009). Identification for prediction and decision. Harvard University Press.
.Moretti, E. (2011). Social learning and peer effects in consumption: Evidence from movie sales. Rev. Econom. Stud.78(1):356–393.
Mortazavi, M., Rahim Esfidani, M., & Shaemi Barzoki, A. (2014). Influencing VSN users’ purchase in-tentions: The roles of flow, trust and eWOM. Journal of Research in Interactive Marketing, 8(2), 102-123.
Murillo, A. C., Kwak, I. S., Bourdev, L., Kriegman, D., & Belongie, S. (2012, June). Urban tribes:
Nam, S., Manchanda, P., & Chintagunta, P. K. (2010). The effect of signal quality and contiguous word of mouth on customer acquisition for a video-on-demand service. Marketing Science, 29(4), 690-700.
Nekovee, M., Moreno, Y., Bianconi, G., & Marsili, M. (2007). Theory of rumour spreading in complex social networks. Physica A: Statistical Mechanics and its Applications, 374(1), 457-470.
Nelson, E. J., Hughes, J., Oakes, J. M., Pankow, J. S., & Kulasingam, S. L. (2014). Estimation of geo-graphic variation in human papillomavirus vaccine uptake in men and women: an online survey using facebook recruitment. Journal of Medical Internet Research, 16(9).
Osborne, S. L., Tabrizi, S. N., Brotherton, J. M., Cornall, A. M., Wark, J. D., Wrede, C. D., ... & Vac-cine Study Group. (2015). Assessing genital human papillomavirus genoprevalence in young Australi-an women following the introduction of a national vaccination program. Vaccine, 33(1), 201-208.
Parveen, F., Jaafar, N. I., & Ainin, S. (2015). Social media usage and organizational performance: Re-flections of Malaysian social media managers. Telematics and Informatics, 32(1), 67-78.
Pfeiffer, M., & Zinnbauer, M. (2010). Can Old Media Enhance New Media?: How Traditional Advertis-ing Pays off for an Online Social Network. Journal of Advertising Research, 50(1), 42-49.
Polonec, L. D., Major, A. M., & Atwood, L. E. (2006). Evaluating the Believability and Effectiveness of the Social Norms Message" Most Students Drink 0 to 4 Drinks When They Party". Health commu-nication, 20(1), 23-34.
Provost, F., Dalessandro, B., Hook, R., Zhang, X., & Murray, A. (2009, June). Audience selection for on-line brand advertising: privacy-friendly social network targeting. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 707-716). ACM.
Qin, J., Zhu, H., Zhu, Y., Lu, L., Xue, G., & Li, M. (2016). Post: Exploiting dynamic sociality for mo-bile advertising in vehicular networks. IEEE Transactions on Parallel and Distributed Systems, 27(6), 1770-1782.
Ramo, D. E., & Prochaska, J. J. (2012). Broad reach and targeted recruitment using Facebook for an online survey of young adult substance use. Journal of medical Internet research, 14(1)
Ramo, D. E., Rodriguez, T. M., Chavez, K., Sommer, M. J., & Prochaska, J. J. (2014). Facebook re-cruitment of young adult smokers for a cessation trial: methods, metrics, and lessons learned. Internet Interventions, 1(2), 58-64.
Remschmidt, C., Walter, D., Schmich, P., Wetzstein, M., Deleré, Y., & Wichmann, O. (2014). Knowledge, attitude, and uptake related to human papillomavirus vaccination among young women in Germany recruited via a social media site. Human vaccines & immunotherapeutics, 10(9), 2527-2535.
Scott, G. (2008). “They got their program, and I got mine”: A cautionary tale concerning the ethical im-plications of using respondent-driven sampling to study injection drug users. International Journal of Drug Policy, 19(1), 42-51.
Seifert, B., Morris, S. A., & Bartkus, B. R. (2003). Comparing big givers and small givers: Financial cor-relates of corporate philanthropy. Journal of business ethics, 45(3), 195-211.
Shah, D. (2009). Gossip algorithms. Foundations and Trends® in Networking, 3(1), 1-125.
Shriver, S. K., Nair, H. S., & Hofstetter, R. (2013). Social ties and user-generated content: Evidence from an online social network. Management Science, 59(6), 1425-1443.
Sinha, R. R., & Swearingen, K. (2001, June). Comparing recommendations made by online systems and friends. In DELOS workshop: personalisation and recommender systems in digital libraries (Vol. 106).
Smith, A. M. A., Grierson, J., Wain, D., Pitts, M., & Pattison, P. (2004). Associations between the sexu-al behaviour of men who have sex with men and the structure and composition of their social net-works. Sexually transmitted infections, 80(6), 455-458
Soares, A. M., Pinho, J. C., & Nobre, H. (2012). From social to marketing interactions: The role of social networks. Journal of Transnational Management, 17(1), 45-62.
Stieglitz, S., & Dang-Xuan, L. (2013). Emotions and information diffusion in social media—sentiment of microblogs and sharing behavior. Journal of Management Information Systems, 29(4), 217-248.
Sun, Y. F., & Li, S. (2014). Similarity-based community detection in social network of microblog. Jour-nal of Computer Research and Development, 51(12), 2797-2807.
Terlutter, R., & Capella, M. L. (2013). The gamification of advertising: analysis and research directions of in-game advertising, advergames, and advertising in social network games. Journal of Advertising, 42(2-3), 95-112.
Syred, J., Naidoo, C., Woodhall, S. C., & Baraitser, P. (2014). Would you tell everyone this? Facebook conversations as health promotion interventions. Journal of Medical Internet Research, 16(4).
Towner, T. L., & Dulio, D. A. (2012). New media and political marketing in the United States: 2012 and beyond. Journal of Political Marketing, 11(1-2), 95-119.
Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Effects of word-of-mouth versus traditional market-ing: findings from an internet social networking site. Journal of marketing, 73(5), 90-102.
Trusov, M., Bodapati, A. V., & Bucklin, R. E. (2010). Determining influential users in internet social networks. Journal of Marketing Research, 47(4), 643-658.
Truong, Y., & Simmons, G. (2010). Perceived intrusiveness in digital advertising: strategic marketing implications. Journal of Strategic Marketing, 18(3), 239-256.
Tucker, C. E. (2014). Social networks, personalized advertising, and privacy controls. Journal of Market-ing Research, 51(5), 546-562.
Van Hoye, G., Van Hooft, E. A., & Lievens, F. (2009). Networking as a job search behaviour: A social network perspective. Journal of Occupational and Organizational Psychology, 82(3), 661-682.
Vesnic-Alujevic, L., & Van Bauwel, S. (2014). YouTube: A political advertising tool? A case study of the use of YouTube in the campaign for the European Parliament elections. Journal of Political Mar-keting, 13(3), 195-212.
Vigil, J. M. (2010). Political leanings vary with facial expression processing and psychosocial function-ing. Group Processes & Intergroup Relations, 13(5), 547-558.
Villiard, H., & Moreno, M. A. (2012). Fitness on facebook: advertisements generated in response to pro-file content. Cyberpsychology, Behavior, and Social Networking, 15(10), 564-568.
Volkova, S., Bachrach, Y., Armstrong, M., & Sharma, V. (2015, January). Inferring Latent User Proper-ties from Texts Published in Social Media. In AAAI (pp. 4296-4297).
Wang, C., Raina, R., Fong, D., Zhou, D., Han, J., & Badros, G. (2011, July). Learning relevance from heterogeneous social network and its application in online targeting. In Proceedings of the 34th inter-national ACM SIGIR conference on Research and development in Information Retrieval (pp. 655-664). ACM.
Wei, C., Khoury, R., & Fong, S. (2013). Web 2.0 Recommendation service by multi-collaborative filter-ing trust network algorithm. Information Systems Frontiers, 15(4), 533-551.
Wen, C., Tan, B. C., & Chang, K. T. T. (2009). Advertising effectiveness on social network sites: an in-vestigation of tie strength, endorser expertise and product type on consumer purchase intention. ICIS 2009 Proceedings, 151.
Winer, R. S. (2009). New communications approaches in marketing: Issues and research directions. Journal of interactive marketing, 23(2), 108-117.
Xin, R. S., Gonzalez, J. E., Franklin, M. J., & Stoica, I. (2013, June). Graphx: A resilient distributed graph system on spark. In First International Workshop on Graph Data Management Experiences and Systems (p. 2). ACM.
Yang, W. S., Dia, J. B., Cheng, H. C., & Lin, H. T. (2006, January). Mining social networks for targeted advertising. In System Sciences, 2006. HICSS'06. Proceedings of the 39th Annual Hawaii Interna-tional Conference on (Vol. 6, pp. 137a-137a). IEEE.
Yang, W. S., & Dia, J. B. (2008). Discovering cohesive subgroups from social networks for targeted ad-vertising. Expert Systems with Applications, 34(3), 2029-2038.
Yang, T. (2012). The decision behavior of Facebook users. Journal of Computer Information Systems, 52(3), 50-59.
Zhang, C., Shou, L., Chen, K., Chen, G., & Bei, Y. (2012a). Evaluating geo-social influence in location-based social networks. In Proceedings of the 21st ACM international conference on Information and knowledge management (pp. 1442-1451). ACM.
Zhang, X., de Pablos, P. O., & Zhu, H. (2012b). The impact of second life on team learning outcomes from the perspective of IT capabilities. The International journal of engineering education, 28(6), 1388-1392.
Zhang, M., Jansen, B. J., & Chowdhury, A. (2011). Business engagement on Twitter: a path analysis. Electronic Markets, 21(3), 161.
Zhang, J., Liu, Y., & Chen, Y. (2015). Social learning in networks of friends versus strangers. Marketing Science, 34(4), 573-589.
Zhang, H., Zhang, H., Kuhnle, A., & Thai, M. T. (2016a). Profit maximization for multiple products in online social networks. In Computer Communications, IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on (pp. 1-9). IEEE.
Zhang, Y., Bai, Y., Chen, L., Bian, K., & Li, X. (2016b). Influence maximization in messenger-based social networks. In Global Communications Conference (GLOBECOM), 2016 IEEE (pp. 1-6). IEEE.
Zubcsek, P. P., & Sarvary, M. (2011). Advertising to a social network. Quantitative Marketing and Eco-nomics, 9(1), 71-107.
Zhu, W. Y., Peng, W. C., Chen, L. J., Zheng, K., & Zhou, X. (2015, August). Modeling user mobility for location promotion in location-based social networks. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1573-1582). ACM.