A social network analysis of two networks: Adolescent school network and Bitcoin trader network

Victor Chang; Karl Hall; Qianwen Xu; Le Minh Thao Doan; Zhi  Wang

doi:10.1016/j.dajour.2022.100065

A social network analysis of two networks: Adolescent school network and Bitcoin trader network

Victor Chang, Karl Hall, Qianwen Xu, Le Minh Thao Doan, Zhi Wang

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Abstract

This paper applies social network analysis in two experiments. In the first experiment, social network analysis is conducted on student friendship networks to find relational patterns. Then, three community detection methods are used to divide the student network. The RSiena package is used to illustrate the coevolution of friendship networks with smoking and drinking behavior. In this experiment, it was determined that in the closed network, same-sex reciprocated relationships are preferred. The second experiment analyzes a weighted trust network that involves users trading with Bitcoin on the BTC-Alpha platform. Since the dealers of Bitcoin are anonymous, there is an urgent need to record every dealer’s credit history to prevent fraud and other security problems. The second experiment aims to improve security problems within the Bitcoin trust network by applying social network analysis.

Original language	English
Article number	100065
Journal	Decision Analytics Journal
Volume	3
Early online date	11 May 2022
DOIs	https://doi.org/10.1016/j.dajour.2022.100065
Publication status	E-pub ahead of print - 11 May 2022

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title = "A social network analysis of two networks: Adolescent school network and Bitcoin trader network",

abstract = "This paper applies social network analysis in two experiments. In the first experiment, social network analysis is conducted on student friendship networks to find relational patterns. Then, three community detection methods are used to divide the student network. The RSiena package is used to illustrate the coevolution of friendship networks with smoking and drinking behavior. In this experiment, it was determined that in the closed network, same-sex reciprocated relationships are preferred. The second experiment analyzes a weighted trust network that involves users trading with Bitcoin on the BTC-Alpha platform. Since the dealers of Bitcoin are anonymous, there is an urgent need to record every dealer{\textquoteright}s credit history to prevent fraud and other security problems. The second experiment aims to improve security problems within the Bitcoin trust network by applying social network analysis.",

author = "Victor Chang and Karl Hall and Qianwen Xu and Doan, {Le Minh Thao} and Zhi Wang",

year = "2022",

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AU - Chang, Victor

AU - Hall, Karl

AU - Xu, Qianwen

AU - Doan, Le Minh Thao

AU - Wang, Zhi

PY - 2022/5/11

Y1 - 2022/5/11

N2 - This paper applies social network analysis in two experiments. In the first experiment, social network analysis is conducted on student friendship networks to find relational patterns. Then, three community detection methods are used to divide the student network. The RSiena package is used to illustrate the coevolution of friendship networks with smoking and drinking behavior. In this experiment, it was determined that in the closed network, same-sex reciprocated relationships are preferred. The second experiment analyzes a weighted trust network that involves users trading with Bitcoin on the BTC-Alpha platform. Since the dealers of Bitcoin are anonymous, there is an urgent need to record every dealer’s credit history to prevent fraud and other security problems. The second experiment aims to improve security problems within the Bitcoin trust network by applying social network analysis.

AB - This paper applies social network analysis in two experiments. In the first experiment, social network analysis is conducted on student friendship networks to find relational patterns. Then, three community detection methods are used to divide the student network. The RSiena package is used to illustrate the coevolution of friendship networks with smoking and drinking behavior. In this experiment, it was determined that in the closed network, same-sex reciprocated relationships are preferred. The second experiment analyzes a weighted trust network that involves users trading with Bitcoin on the BTC-Alpha platform. Since the dealers of Bitcoin are anonymous, there is an urgent need to record every dealer’s credit history to prevent fraud and other security problems. The second experiment aims to improve security problems within the Bitcoin trust network by applying social network analysis.

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SN - 2772-6622

VL - 3

JO - Decision Analytics Journal

JF - Decision Analytics Journal

M1 - 100065

ER -

A social network analysis of two networks: Adolescent school network and Bitcoin trader network

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