Abstract
AbstractWe study the interplay between social ties and financial transactions made through a recent cryptocurrency called $\breve {G}1$Ğ1. It has the particularity of combining the usual transaction record with a reliable network of identified users. This gives the opportunity to observe exactly who sent money to whom over a social network. This social network is a key piece of this cryptocurrency, which therefore puts much effort in ensuring that nodes correspond to unique, well identified, real living human users, linked together only if they met at least once in real world. Using this data, we study how social ties impact the structure of transactions and conversely. We show that users make transactions almost exclusively with people they are connected with in the social network. Instead, they tend to build social connections with people they will never make transactions with.
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Computer Networks and Communications,Multidisciplinary
Reference30 articles.
1. Al-Saqaf, W, Seidler N (2017) Blockchain technology for social impact: opportunities and challenges ahead. J Cyber Policy:1–17. https://doi.org/10.1080/23738871.2017.1400084.
2. Bapna, R, Gupta A, Rice S, Sundararajan A (2017) Trust and the strength of ties in online social networks: An exploratory field experiment. MIS Q 41:115–130.
3. Barrat, A, Fernandez B, Lin KK, Young L-S (2013) Modeling temporal networks using random itineraries. Phys Rev Lett 110:158702.
4. BL et al. (2017) Duniter G1 client. https://g1.duniter.fr/.
5. Cloob. https://www.cloob.com. Accessed 20 Aug 2019.
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