Cold Hard E-Cash: Friends and Vendors in the Venmo Digital Payments System

For millions around the globe, digital payment apps such as Venmo are replacing cash as the preferred method of payment between friends and vendors. Apps like Venmo bring a unique blend of convenience and social interactions into financial transactions. In this paper, we study the role of social relationships in the adoption of the Venmo digital payment system. We collect records of all 91 million public transactions conducted on Venmo since its introduction, a social graph connecting most of its 10.5 million users, and analyze the interplay between social relationships and financial transactions. We find that Venmo communities are very densely connected compared to other interaction networks, and are often driven by specific niche applications. We are able to extract both user-to-user and user-to-vendor transaction communities, and show that they exhibit dramatically different structural properties.

[1]  Saeideh Bakhshi,et al.  "I need to try this"?: a statistical overview of pinterest , 2013, CHI.

[2]  Ben Y. Zhao,et al.  Multi-scale dynamics in a massive online social network , 2012, Internet Measurement Conference.

[3]  Gayatri Swamynathan,et al.  Do social networks improve e-commerce?: a study on social marketplaces , 2008, WOSN '08.

[4]  Gang Wang,et al.  Unsupervised Clickstream Clustering for User Behavior Analysis , 2016, CHI.

[5]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[6]  Ben Y. Zhao,et al.  User interactions in social networks and their implications , 2009, EuroSys '09.

[7]  S A R A H M E I K L E J O H N,et al.  A Fistful of Bitcoins Characterizing Payments Among Men with No Names , 2013 .

[8]  Philip S. Yu,et al.  On Periodicity Detection and Structural Periodic Similarity , 2005, SDM.

[9]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[10]  Martin F. Porter,et al.  An algorithm for suffix stripping , 1997, Program.

[11]  Ben Y. Zhao,et al.  Understanding latent interactions in online social networks , 2010, IMC '10.

[12]  Sriram Subramanian,et al.  Spending Time with Money: From Shared Values to Social Connectivity , 2015, CSCW.

[13]  Stefan Katzenbeisser,et al.  Structure and Anonymity of the Bitcoin Transaction Graph , 2013, Future Internet.

[14]  Haewoon Kwak,et al.  Mining communities in networks: a solution for consistency and its evaluation , 2009, IMC '09.

[15]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[16]  Anja Feldmann,et al.  Understanding online social network usage from a network perspective , 2009, IMC '09.

[17]  Martin Rosvall,et al.  Maps of random walks on complex networks reveal community structure , 2007, Proceedings of the National Academy of Sciences.

[18]  A. Ndiwalana,et al.  Mobile Money Use in Uganda: A Preliminary Study , 2010 .

[19]  Yue Liu,et al.  Aggregate Characterization of User Behavior in Twitter and Analysis of the Retweet Graph , 2014, ACM Trans. Internet Techn..

[20]  Yan Liu,et al.  What is Tumblr: a statistical overview and comparison , 2014, SKDD.

[21]  Arum Park,et al.  Critical Success Factor of Noble Payment System: Multiple Case Studies , 2014 .

[22]  M. McPherson,et al.  Birds of a Feather: Homophily in Social Networks , 2001 .

[23]  M. Hasan,et al.  Assessing Service Quality Of Mobile Money Transfer In Bangladesh:A Case Study On bKash , 2013 .

[24]  Ben Y. Zhao,et al.  Beyond Social Graphs: User Interactions in Online Social Networks and their Implications , 2012, TWEB.

[25]  Adi Shamir,et al.  Quantitative Analysis of the Full Bitcoin Transaction Graph , 2013, Financial Cryptography.

[26]  Ali S. Hadi,et al.  Finding Groups in Data: An Introduction to Chster Analysis , 1991 .

[27]  Jon M. Kleinberg,et al.  Feedback effects between similarity and social influence in online communities , 2008, KDD.

[28]  Hosung Park,et al.  What is Twitter, a social network or a news media? , 2010, WWW '10.

[29]  Ben Y. Zhao,et al.  Scaling Microblogging Services with Divergent Traffic Demands , 2011, Middleware.

[30]  William Jack,et al.  Documenting the birth of a financial economy , 2012, Proceedings of the National Academy of Sciences.

[31]  M. Sarvary,et al.  Network Effects and Personal Influences: The Diffusion of an Online Social Network , 2011 .

[32]  B. P. Murphy,et al.  Handbook of Methods of Applied Statistics , 1968 .

[33]  Yiming Yang,et al.  A Comparative Study on Feature Selection in Text Categorization , 1997, ICML.

[34]  Lars Backstrom,et al.  The Anatomy of the Facebook Social Graph , 2011, ArXiv.