Birds of a feather scam together
Trustworthiness homophily in a business network
Bibliographic Data
| ID | 18943802 |
|---|---|
| Authors | M Barone (0000-0002-1439-5686), Michele Coscia (0000-0001-5984-5137, University of Namur, corresponding author) |
| Year | 2018 |
| Volume | 54 |
| Pages | 228-237 |
| Publication date | 2018-03-23 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Networks (JOURNAL) |
| Journal identifiers | ISSN: 0378-8733 • E-ISSN: 1879-2111 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.socnet.2018.01.009 |
| OpenAlex | W2789735762 |
| Language | EN |
| Citations received | 2 |
| References cited | 23 |
A framework to estimate actor trustworthiness in a network with mismatching reports. • Discovery of fraudulent businesses in a B2B network. • Discovery that the B2B system is characterized by fraud homophily. • Our trustworthiness score predicts the likelihood of being fined and by how much. Estimating the trustworthiness of a set of actors when all the available information is provided by the actors themselves is a hard problem. When two actors have conflicting reports about each other, how do we establish which of the two (if any) deserves our trust? In this paper, we model this scenario as a network problem: actors are nodes in a network and their reports about each other are the edges of the network. To estimate their trustworthiness levels, we develop an iterative framework which looks at all the reports about each connected actor pair to define its trustworthiness balance. We apply this framework to a customer/supplier business network. We show that our trustworthiness score is a significant predictor of the likelihood a business will pay a fine if audited. We show that the market network is characterized by homophily: businesses tend to connect to partners with similar trustworthiness degrees. This suggests that the topology of the network influences the behavior of the actors composing it, indicating that market regulatory efforts should take into account network theory to prevent further degeneration and failures
Audit · Business · Computer security · Homophily · Social media · Trustworthiness · World Wide Web · Complex Network Analysis Techniques · Computer Science · Experimental Behavioral Economics Studies · Game Theory and Applications · Psychology · Social Psychology
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0,29 |
| Citation span | 2019 - 2021 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |