#5371. Large-scale peer-to-peer loan consensus based on minimum cost consensus

September 2026publication date
Proposal available till 12-06-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Statistics, Probability and Uncertainty;
Modeling and Simulation;
Strategy and Management;
Management Science and Operations Research;
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
2350 $1200 $1050 $900 $
Contract №5371.1 Contract №5371.2 Contract №5371.3 Contract №5371.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

Abstract:
Large-scale decision-making, which involves a large number of participants, is common in practical applications. While cost is a crucial factor in large- scale decision-making, research on minimum cost consensus in group decision-making are mainly focused on a small number of experts. The goal of this paper is to expand the application of minimum cost consensus models to large-scale decision-making problems, and provide an approach for modeling and optimizing the cost in large-scale decision-making. This paper randomly collected a sample of 103 loans from one of the leading U.S. peer-to-peer loan platforms-Lending Club, and constructed several loan consensuses models. The minimum cost of loan consensus and changes of borrowers’ group opinions under such scenarios were studied. In addition, we discussed the effects of different loan consensus levels on the adjustments of interest rates and the consensus costs.
Keywords:
Group decision; group negotiation; large-scale; minimum cost consensus; peering to peering lending; soft consensus

Contacts :
0