Pregled bibliografske jedinice broj: 1199273
Analysis of Complex Customer Networks: A Real-World Banking Example
Analysis of Complex Customer Networks: A Real-World Banking Example // MIPRO 2022 Proceedings / Skala, Karolj (ur.).
Rijeka, 2022. str. 357-362 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1199273 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Analysis of Complex Customer Networks: A Real-World Banking Example
Autori
Ljubičić, Karmela ; Merćep, Andro ; Kostanjčar, Zvonko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
MIPRO 2022 Proceedings
/ Skala, Karolj - Rijeka, 2022, 357-362
Skup
45th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2022)
Mjesto i datum
Opatija, Hrvatska, 23.05.2022. - 27.05.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
complex networks ; graph metrics ; social network analysis ; transaction networks ; banking
Sažetak
Complex customer networks are an important tool for better understanding customer behaviour and customers' mutual interdependence. Hence, it has been proven insightful in numerous customer-centric domains such as recommender systems and customer relationship management. Although previous research in this field is predominantly associated with telecommunication and e-commerce sectors, similar construction principles could be transferred to the financial sector, e.g. a customer network could be created based on transaction history or domain-specific relations such as loan debtor--guarantor or loan debtor--co-debtor. However, this research path is still underdeveloped. In this paper, we analyse real-world complex customer networks of a Croatian bank. Numerous graph metrics were calculated, and the obtained results prove that these networks are non-random. We also show that these networks are scale-free and exhibit the small-world effect based on graph properties like the node degree distribution and the average shortest path.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb