Do you trade with your friends or become friends with your trading partners? A case study in the G1 cryptocurrency
| Autor: | Matthieu Latapy, Nicolas Gensollen |
|---|---|
| Přispěvatelé: | ComplexNetworks, LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
FOS: Computer and information sciences
Cryptocurrency Computer Networks and Communications Internet privacy 01 natural sciences [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI] 03 medical and health sciences [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] 0103 physical sciences [INFO]Computer Science [cs] 010306 general physics 030304 developmental biology Social and Information Networks (cs.SI) Structure (mathematical logic) 0303 health sciences Multidisciplinary Social network business.industry Computer Science - Social and Information Networks Computational Mathematics Interpersonal ties Financial transaction Key (cryptography) Business Database transaction Breve |
| Zdroj: | Applied Network Science Applied Network Science, Springer, 2020, 5 (1), pp.25. ⟨10.1007/s41109-020-00266-2⟩ |
| ISSN: | 2364-8228 |
| Popis: | We 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. |
| Databáze: | OpenAIRE |
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