How triangle structure in inter-firm human network affects bankruptcy evolution: An agent-based simulation study with real and artificial data

Shihan Wang; Mohsen Jafari Songhori; Shuang Chang; Takao Terano

doi:10.1007/978-3-319-60591-3_26

How triangle structure in inter-firm human network affects bankruptcy evolution: An agent-based simulation study with real and artificial data

Shihan Wang^*
, Mohsen Jafari Songhori
, Shuang Chang
, Takao Terano

^*Corresponding author for this work

extern

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

This paper investigates the influence of human factors on the evolution of inter-firm trade network emerging from bankruptcy. In particular, we concentrate on a local interaction mechanism, conceptualized as triangle structure, within the inter-firm human network. An agent-based model is employed to explore the effects of triangle structure-related properties in both real inter-firm human network constructed from empirical data of thousands Japanese firms, and artificially generated ones. The simulation results confirm the influential role of triangle structure-related human factors in bankruptcy: it not only enhances the benefits that firms can obtain from their inter-firm relationships, but also provides firms with few business partners the equal chance to survive in the bankrupt emergency.

Original language	English
Title of host publication	Advances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017
Editors	Daniel N. Cassenti
Publisher	Springer
Pages	285-296
Number of pages	12
ISBN (Print)	9783319605906
DOIs	https://doi.org/10.1007/978-3-319-60591-3_26
Publication status	Published - 1 Jan 2018
Event	AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017 - Los Angeles, United States Duration: 17 Jul 2017 → 21 Jul 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	591
ISSN (Print)	2194-5357

Conference

Conference	AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017
Country/Territory	United States
City	Los Angeles
Period	17/07/17 → 21/07/17

Funding

The research is partially supported by the Center for TDB Advanced Data Analysis and Modeling in Tokyo Institute of Technology and JSPS KAKENHI (Grant Number 25240048).

Keywords

Agent-based simulation
Bankruptcy evolution
Human factors
Inter-firm trade network
Social network analysis
Triangle structure

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10.1007/978-3-319-60591-3_26

Cite this

Wang, S., Songhori, M. J., Chang, S., & Terano, T. (2018). How triangle structure in inter-firm human network affects bankruptcy evolution: An agent-based simulation study with real and artificial data. In D. N. Cassenti (Ed.), Advances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017 (pp. 285-296). (Advances in Intelligent Systems and Computing; Vol. 591). Springer. https://doi.org/10.1007/978-3-319-60591-3_26

Wang, Shihan ; Songhori, Mohsen Jafari ; Chang, Shuang et al. / How triangle structure in inter-firm human network affects bankruptcy evolution : An agent-based simulation study with real and artificial data. Advances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017. editor / Daniel N. Cassenti. Springer, 2018. pp. 285-296 (Advances in Intelligent Systems and Computing).

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title = "How triangle structure in inter-firm human network affects bankruptcy evolution: An agent-based simulation study with real and artificial data",

abstract = "This paper investigates the influence of human factors on the evolution of inter-firm trade network emerging from bankruptcy. In particular, we concentrate on a local interaction mechanism, conceptualized as triangle structure, within the inter-firm human network. An agent-based model is employed to explore the effects of triangle structure-related properties in both real inter-firm human network constructed from empirical data of thousands Japanese firms, and artificially generated ones. The simulation results confirm the influential role of triangle structure-related human factors in bankruptcy: it not only enhances the benefits that firms can obtain from their inter-firm relationships, but also provides firms with few business partners the equal chance to survive in the bankrupt emergency.",

keywords = "Agent-based simulation, Bankruptcy evolution, Human factors, Inter-firm trade network, Social network analysis, Triangle structure",

author = "Shihan Wang and Songhori, \{Mohsen Jafari\} and Shuang Chang and Takao Terano",

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booktitle = "Advances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017",

note = "AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017 ; Conference date: 17-07-2017 Through 21-07-2017",

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Wang, S, Songhori, MJ, Chang, S & Terano, T 2018, How triangle structure in inter-firm human network affects bankruptcy evolution: An agent-based simulation study with real and artificial data. in DN Cassenti (ed.), Advances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017. Advances in Intelligent Systems and Computing, vol. 591, Springer, pp. 285-296, AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017, Los Angeles, United States, 17/07/17. https://doi.org/10.1007/978-3-319-60591-3_26

How triangle structure in inter-firm human network affects bankruptcy evolution: An agent-based simulation study with real and artificial data. / Wang, Shihan; Songhori, Mohsen Jafari; Chang, Shuang et al.
Advances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017. ed. / Daniel N. Cassenti. Springer, 2018. p. 285-296 (Advances in Intelligent Systems and Computing; Vol. 591).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T2 - AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017

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AU - Terano, Takao

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N2 - This paper investigates the influence of human factors on the evolution of inter-firm trade network emerging from bankruptcy. In particular, we concentrate on a local interaction mechanism, conceptualized as triangle structure, within the inter-firm human network. An agent-based model is employed to explore the effects of triangle structure-related properties in both real inter-firm human network constructed from empirical data of thousands Japanese firms, and artificially generated ones. The simulation results confirm the influential role of triangle structure-related human factors in bankruptcy: it not only enhances the benefits that firms can obtain from their inter-firm relationships, but also provides firms with few business partners the equal chance to survive in the bankrupt emergency.

AB - This paper investigates the influence of human factors on the evolution of inter-firm trade network emerging from bankruptcy. In particular, we concentrate on a local interaction mechanism, conceptualized as triangle structure, within the inter-firm human network. An agent-based model is employed to explore the effects of triangle structure-related properties in both real inter-firm human network constructed from empirical data of thousands Japanese firms, and artificially generated ones. The simulation results confirm the influential role of triangle structure-related human factors in bankruptcy: it not only enhances the benefits that firms can obtain from their inter-firm relationships, but also provides firms with few business partners the equal chance to survive in the bankrupt emergency.

KW - Agent-based simulation

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KW - Human factors

KW - Inter-firm trade network

KW - Social network analysis

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Wang S, Songhori MJ, Chang S, Terano T. How triangle structure in inter-firm human network affects bankruptcy evolution: An agent-based simulation study with real and artificial data. In Cassenti DN, editor, Advances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017. Springer. 2018. p. 285-296. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-60591-3_26

How triangle structure in inter-firm human network affects bankruptcy evolution: An agent-based simulation study with real and artificial data

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