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Bi and Branching Strict Nash Networks in Two-Way Flow Models: A Generalized Sufficient Condition
| Content Provider | Scilit |
|---|---|
| Author | Charoensook, Banchongsan |
| Copyright Year | 2018 |
| Description | Journal: SSRN Electronic Journal Bi and branching networks are two classes of minimal networks often found in the literatures of two-way flow Strict Nash networks. Why so? In this paper, we answer this question by establishing a generalized condition that holds together many models in the literature, and then show that this condition is sufficient to guarantee their common result: every non-empty component of minimal SNN is either a branching or Bi network. This paper, therefore, contributes to the literature by providing a generalization of several existing works in the literature of two-way flow Strict Nash networks. |
| Related Links | http://ageconsearch.umn.edu/record/273140/files/NDL2018-012.pdf https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=3180523 |
| ISSN | 10914358 |
| e-ISSN | 15565068 |
| DOI | 10.2139/ssrn.3180523 |
| Journal | SSRN Electronic Journal |
| Language | English |
| Publisher | Elsevier BV |
| Publisher Date | 2018-05-18 |
| Access Restriction | Open |
| Subject Keyword | Journal: SSRN Electronic Journal Automotive Engineering Operations Research and Management Science Network Formation Strict Nash Network Two-way Flow Network Branching Network |
| Content Type | Text |
| Resource Type | Article |
| Subject | Public Health, Environmental and Occupational Health Psychiatry and Mental Health |
