Algorithmic Assortative Matching on a Digital Social Medium
References
- (2017) Matching patterns when group size exceeds two. Amer. Econom. J. Microeconomics 9(1):352–384.Crossref, Google Scholar
- (2019) Decoding team and individual impact in science and invention. Proc. Natl. Acad. Sci. USA 116(28):13885–13890.Crossref, Google Scholar
- (2020) The welfare effects of social media. Amer. Econom. Rev. 110(3):629–676.Crossref, Google Scholar
- (2016) Play with Me? Understanding and Measuring the Social Aspect of Casual Gaming. (Sturtevant N, Magerko B, eds. The Workshops of the Twelfth AAAI Conf. Artificial Intelligence and Interactive Digital Entertainment: Technical Reports WS-16-21 – WS-16-23 (AAAI Press, Palo Alto, CA), 115–121.Google Scholar
- (2012) High wage workers match with high wage firms: Clear evidence of the effects of limited mobility bias. Econom. Lett. 117(3):824–827.Crossref, Google Scholar
- AppAnnie (2021) The state of mobile 2021. Technical report, App Annie.Google Scholar
- (2018) Exposure to opposing views on social media can increase political polarization. Proc. Natl. Acad. Sci. USA 115(37):9216–9221.Crossref, Google Scholar
- (2015) Do your online friends make you pay? A randomized field experiment on peer influence in online social networks. Management Sci. 61(8):1902–1920.Link, Google Scholar
- (2018) Monetizing freemium communities: Does paying for premium increase social engagement? Management Inform. Systems Quart. 42(3):719–735.Crossref, Google Scholar
- (2016) One-way mirrors in online dating: A randomized field experiment. Management Sci. 62(11):3100–3122.Link, Google Scholar
- (1973) A theory of marriage: Part I. J. Political Econom. 81(4):813–846.Crossref, Google Scholar
- (2013) From natural variation to optimal policy? The importance of endogenous peer group formation. Econometrica 81(3):855–882.Crossref, Google Scholar
- (2021) Supply chain dynamics with assortative matching. J. Evolutionary Econom. 31(1):179–206.Crossref, Google Scholar
- (2017) Customer life time value prediction using embeddings. Matwin S (general chair), Yu S (general chair), Farooq F (general chair), eds. Proc. 23rd ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining, Halifax, NS, Canada (Association for Computing Machinery, New York).Google Scholar
- (2002) SMOTE: Synthetic minority over-sampling technique. J. Artificial Intelligence Res. 16(1):321–357.Crossref, Google Scholar
- (2018) Can self selection create high-performing teams? J. Econom. Behav. Organ. 148:20–33.Crossref, Google Scholar
- (2016) Xgboost: A scalable tree boosting system. Balaji Krishnapuram (general chair), Shah M (general chair), eds. Proc. 22nd ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (Association for Computing Machinery, New York), 785–794.Google Scholar
- (2020) A snapshot of the frontiers of fairness in machine learning. Comm. ACM 63(5):82–89.Crossref, Google Scholar
- (2015) How Facebook knows who all your friends are, even better than you do. The Washington Post.Google Scholar
- (2013) Engineering optimal network effects via social media features and seeding in markets for digital goods and services. Inform. Systems Res. 24(1):164–185.Link, Google Scholar
- (2003) Is assortative matching efficient? Econom. Theory 21(2):475–493.Crossref, Google Scholar
- (2005) “Counting your customers” the easy way: An alternative to the Pareto/NBD model. Marketing Sci. 24(2):275–284.Link, Google Scholar
- GameAnalytics (2019) Global market trends: Mobile gaming benchmarks. Technical report, GameAnalytics.Google Scholar
- (2014) Estimating demand for mobile applications in the new economy. Management Sci. 60(6):1470–1488.Link, Google Scholar
- (1999) Persistence of interindustry wage differentials: A reexamination using matched worker firm panel data. J. Labor Econom. 17(3):492–533.Crossref, Google Scholar
- (2009) The importance of firms in wage determination. Labour Econom. 16(2):149–160.Crossref, Google Scholar
- (2007) Disposition, history and contributions in public goods experiments. J. Econom. Behav. Organ. 62(2):304–315.Crossref, Google Scholar
- (2004) Valuing customers. J. Marketing Res. 41(1):7–18.Crossref, Google Scholar
- (2010) Matching and sorting in online dating. Amer. Econom. Rev. 100(1):130–163.Crossref, Google Scholar
- (1993) The O-ring theory of economic development. Quart. J. Econom. 108(3):551–575.Crossref, Google Scholar
- (2016) Excessive dependence on mobile social apps: A rational addiction perspective. Inform. Systems Res. 27(4):919–939.Link, Google Scholar
- (2017) Fee or free: When should firms charge for online content? Management Sci. 63(4):1150–1165.Link, Google Scholar
- (2007) Beauty is a beast, frog is a prince: Assortative matching with nontransferabilities. Econometrica 75(4):1073–1102.Crossref, Google Scholar
- (2006) Bagging and boosting classification trees to predict churn. J. Marketing Res. 43(2):276–286.Crossref, Google Scholar
- (2021) Social media, news consumption, and polarization: Evidence from a field experiment. Amer. Econom. Rev. 111(3):831–870.Crossref, Google Scholar
- (2010) An empirical assessment of assortative matching in the labor market. Labour Econom. 17(6):919–929.Crossref, Google Scholar
- (2014) Economics of free under perpetual licensing: Implications for the software industry. Inform. Systems Res. 25(1):173–199.Link, Google Scholar
- (2015) Crushing candy: The free-to-play game in its connective commodity form. Soc. Media Soc. 1(2):1–12.Google Scholar
- (2013) Content or community? A digital business strategy for content providers in the social age. Management Inform. Systems Quart. 37(2):591–616.Crossref, Google Scholar
- (2005) Voluntary association in public goods experiments: Reciprocity, mimicry and efficiency. Econom. J. (London) 115(506):1032–1053.Google Scholar
- (2022) Price promotions and “freemium” app monetization. Quant. Marketing Econom. Forthcoming.Crossref, Google Scholar
- (2000) Assortative matching and search. Econometrica 68(2):343–369.Crossref, Google Scholar
- (2018) Customer lifetime value prediction in non-contractual freemium settings: Chasing high-value users using deep neural networks and SMOTE. Bui T, ed. Proc. 51st Hawaii Internat. Conf. System Sci., HICSS 2018, 923–932.Google Scholar
- (2015) Predicting purchase decisions in mobile free-to-play games. Jhala A, Sturtevant N, eds. Proc. AAAI Conf. Artificial Intelligence Interactive Digital Entertainment (AAAI Press, Palo Alto, CA), 11(1):79–85.Google Scholar
- Supercell (2018) How to find a clan. Technical report, Clash of Clans Community Support. https://clashofclans.com/blog/news/how-to-find-a-clan.html.Google Scholar
- (1998) Supermodularity and Complementarity (Princeton University Press).Crossref, Google Scholar
- (2013) SMOTE for regression. Correia LM, Reis LP, Cascalho JM, eds. Proc. 16th Portuguese Conf. Artificial Intelligence, EPIA 2013 (Springer, New York), 378–389.Google Scholar
- (2018) The sources of wage variation and the direction of assortative matching: Evidence from a three-way high-dimensional fixed effects regression model. Labour Econom. 54:47–60.Crossref, Google Scholar
- (2016) An engagement-based customer lifetime value system for e-commerce. Balaji Krishnapuram (general chair), Shah M (general chair), eds. Proc. 22nd ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (Association for Computing Machinery, New York), 293–302.Google Scholar
- (2003) The commercial use of segmentation and predictive modeling techniques for database marketing in the Netherlands. Decision Support Systems 34(4):471–481.Crossref, Google Scholar
- (2004) Mining with rarity: A unifying framework. SIGKDD Explorations Newsletter 6(1):7–19.Crossref, Google Scholar
- (2015) Match effects. Res. Econom. 69(1):100–121.Crossref, Google Scholar

