Payment platforms have significantly evolved in recent years to keep pace with the proliferation of online and cashless payments. These platforms are increasingly aligned with online social networks, allowing users to interact with each other and transfer small amounts of money in a Peer-to-Peer fashion. This poses new challenges for analysing payment data, as traditional methods are only user-centric or business-centric and neglect the network users build during the interaction. This paper proposes a first methodology for measuring user value in modern payment platforms. We combine quantitative user-centric metrics with an analysis of the graph created by users’ activities and its topological features inspired by the evolution of opinions in social networks. We showcase our approach using a dataset from a large operational payment platform and show how it can support business decisions and marketing campaign design, e.g., by targeting specific users.
User Value in Modern Payment Platforms: A Graph Approach / Arditti, Laura; Trevisan, Martino; Vassio, Luca; Lazzari, Alberto De; Danese, Alberto. - STAMPA. - (2022), pp. 71-78. (Intervento presentato al convegno 2022 IEEE International Conference on Data Mining Workshops (ICDMW) tenutosi a Orlando, Florida nel 28 November - 1 December 2022) [10.1109/ICDMW58026.2022.00018].
User Value in Modern Payment Platforms: A Graph Approach
Arditti, Laura;Trevisan, Martino;Vassio, Luca;
2022
Abstract
Payment platforms have significantly evolved in recent years to keep pace with the proliferation of online and cashless payments. These platforms are increasingly aligned with online social networks, allowing users to interact with each other and transfer small amounts of money in a Peer-to-Peer fashion. This poses new challenges for analysing payment data, as traditional methods are only user-centric or business-centric and neglect the network users build during the interaction. This paper proposes a first methodology for measuring user value in modern payment platforms. We combine quantitative user-centric metrics with an analysis of the graph created by users’ activities and its topological features inspired by the evolution of opinions in social networks. We showcase our approach using a dataset from a large operational payment platform and show how it can support business decisions and marketing campaign design, e.g., by targeting specific users.File | Dimensione | Formato | |
---|---|---|---|
2022_ICDM_Larus_published.pdf
non disponibili
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
344.15 kB
Formato
Adobe PDF
|
344.15 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
2022_ICDM_Larus_accepted.pdf
accesso aperto
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
PUBBLICO - Tutti i diritti riservati
Dimensione
1.28 MB
Formato
Adobe PDF
|
1.28 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2976472