Software/Packages/Programs

Kinship Adjacency Matrix Generator (KAMG) ​

Description: Kinship Adjacency Matrix Generator (KAMG) is a browser-based software tool for creating adjacency matrices of kinship networks. It uses family trees in the format of GEDCOM file and the records of marriages as inputs. ties. It generates adjacency matrices in the format of CSV files as outputs. It can deal with both blood relationship (based on birth) and affinity relationship (based on marriages).
Developer: Hang Xiong and Pin Xiong
Source Code: ​https://github.com/hangxiong/KAMG

R package wNetwork

Package: wNetwork
Title: Calculate topological characteristics of weighted networks
Version: 1.0
Repository: CRAN
Date: 2015-11-11
Author: Hang Xiong
Maintainer: Hang Xiong <hang.xiong@outlook.com>
Description: This package provides functions that calculate the topological characteristics (centralization, small-worldness, scale-freeness, etc.) of weighted networks.
Source Code: ​https://github.com/hangxiong/wNetwork

Selected agent-based models

  • ​An Agent-based Model of Collective Self-organisation in Irrigation Management (02/2015)
This model simulates how collective self-organisation among individuals that manage irrigation resource collectively. Collective self-organisation is formed when the majority of the population (80% of the owners of the resource, in our case) participates the cooperation that aims at sustainable use of the irrigation resource. Whether an owner participates the cooperation depends on not only on his social economic characteristics, but also the proportion of his neighbours that have participated the cooperation. To investigate the influence of social structure, the social network in which owners interact is modelled as random network, small-world network and scale-free network separately.
This model is associated with a publication: Cai, Jingjing and Xiong, Hang, 基于主体的灌溉集体自组织形成机制研究 An Agent-based Simulation of Collective Self-organisation in Irrigation Management (January 8, 2016). Available at SSRN: http://ssrn.com/abstract=2755539
Cite This Model: Xiong, Hang, Cai, Jingjing (2016, April 7). "An Agent-based Model of Collective Self-organisation in Irrigation Management" (Version 1). CoMSES Computational Model Library. Retrieved from: https://www.openabm.org/model/4975/version/1
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  • A Simulation of Food Supply Chain (04/2014)
We present an agent-based model that simulates the structural evolution in food supply chain. This model allows us to explore how to improve the food quality safety in China. We consider three types of agents, namely, producer, middleman and government in the food supply chain system. They correspond to farmer, wholesaler and food safety regulator in real world, respectively. We model two modes of supply chain management: spot market transaction and contract transaction.
This model is associated with a publication: 汪普庆, 熊航, 瞿翔, & 陈村子. (2015). 供应链的组织结构演化与农产品质量安全——基于 NetLogo 的计算机仿真. 农业技术经济, (8), 64-72.
Cite This Model: Xiong, Hang, Cai, Jingjing (2016, April 10). "A Simulation of Food Supply Chain" (Version 1). CoMSES Computational Model Library. Retrieved from: https://www.openabm.org/model/4963/version/1
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  • Simulation of Self-enforcing Agreement in Cooperative Teams (02/2013)
This study develops a simulation model to test two typical hypotheses in the theory of self-enforcing agreements. In cooperative teams (such as agricultural cooperatives), a self-enforcing agreement plays a critical role to guarantee members’ work incentives when the monitoring from a third party is absent. In order to provide effective sanction to the violators so as to maintain the agreement, two seemly conflicting strategies are proposed. One is allowing the members to exit the team freely, while the other is imposing a high exit cost to restrict members from leaving the team. The views upholding each of the two strategies are elaborated in Lin (1993) and Dong and Dow (1993), respectively. We summarise the views as two hypotheses for a test using an agent-based model. The model incorporates factors that were not explicitly examined in previous discussions, such as the heterogeneity of households in terms of leisure preference and its distributions amongst team members.
This model is associated with a publication: Xiong, Hang and Payne, Diane and Kinsella, Stephen, The Self-Enforcing Agreement in Cooperative Teams: An Agent-Based Modelling Approach (April 25, 2013). Available at SSRN: http://ssrn.com/abstract=2621606 or http://dx.doi.org/10.2139/ssrn.2621606
Cite This Model: Xiong, Hang (2016, April 1). "Simulation of Self-enforcing Agreement in Cooperative Teams" (Version 1). CoMSES Computational Model Library. Retrieved from: https://www.openabm.org/model/4966/version/1

  • Agent-based Simulation of Time Management (04/2012)
This agent-based model simulates how the strategy one manages time affect the well-being that he/she can obtain. Two strategies of time management are simulated: Urgency-first strategy and importance-first strategy. One adopts urgency-first strategy will allocate time to accomplishing urgent tasks first, whereas one adopts importance-first strategy will allocate time to accomplishing important tasks first.
Cite This Model: Xiong, Hang (2016, March 25). "Agent-based Simulation of Time Management" (Version 2). CoMSES Computational Model Library. Retrieved from: https://www.openabm.org/model/4953/version/2