网络与信息安全学报 ›› 2019, Vol. 5 ›› Issue (4): 99-107.doi: 10.11959/j.issn.2096-109x.2019043

• 学术论文 • 上一篇    下一篇

银行账户交易复杂网络特性分析

吕芳,张新琳,王巍,黄俊恒,王佰玲()   

  1. 哈尔滨工业大学(威海),山东 威海 264200
  • 修回日期:2019-02-12 出版日期:2019-08-15 发布日期:2019-08-20
  • 作者简介:吕芳(1990-),女,山东阳谷人,哈尔滨工业大学(威海)博士生,主要研究方向为复杂网络、信息内容安全、数据挖掘。|张新琳(1996-),女,山东临朐人,主要研究方向为信息内容安全。|王巍(1975-),女,黑龙江齐齐哈尔人,博士,哈尔滨工业大学(威海)讲师、硕士生导师,主要研究方向为金融安全、数据挖掘、自然语言处理。|黄俊恒(1966- ),男,河南新乡人,哈尔滨工业大学(威海)副教授,主要研究方向为数据挖掘、人工智能。|王佰玲(1978- ),男,黑龙江哈尔滨人,哈尔滨工业大学(威海)教授、博士生导师,主要研究方向为信息对抗、信息安全、信息搜索、移动网络、金融安全。
  • 基金资助:
    国家重点研发计划基金资助项目(2018YFB2004201);国家重点研发计划基金资助项目(2017YFB0801804);国家前沿科技创新专项基金资助项目(2016QY05X10002-2);国家区域创新中心科技专项基金资助项目(2017QYCX14);山东省重点研发计划基金资助项目(2017CXGC0706);中央高校基本科研业务费专项基金资助项目(HIT.NSRIF.2020098);2018威海市大学共建基金资助项目

Analyzing the complex properties of bank account transaction network

Fang LYU,Xinlin ZHANG,Wei WANG,Junheng HUANG,Bailing WANG()   

  1. Harbin Institute of Technology at Wei Hai,Weihai 264200,China
  • Revised:2019-02-12 Online:2019-08-15 Published:2019-08-20
  • Supported by:
    National Key Research and Development Program of China(2018YFB2004201);National Key Research and Development Program of China(2017YFB0801804);Frontier Science and Technology Innovation of China(2016QY05X10002-2);National Regional Innovation Center Science and Technology Special Project of China(2017QYCX14);Key Research and Development Program of Shandong Province(2017CXGC0706);The Fundamental Research Funds for Central Universities(HIT.NSRIF.2020098);2018 University Co-construction Project in Weihai City

摘要:

首先基于银行账户交易的特点,建立了一个有向加权的银行账户交易网络通用模型。进而,根据复杂网络的定义,从网络结构和节点2个层面,验证了交易网络的复杂网络特性。其中,网络结构特性包括静态特性(即无标度特性和小世界特性)和动态演化特性(即自组织特性)。此外,使用吸引子特性验证了复杂网络节点的动力学特征。分析包含非法传销交易的真实银行交易数据,得出如下结论:该网络具有无标度特性、小世界特性、部分自组织特性和奇异吸引子。

关键词: 银行账户交易网络, 复杂网络, 无标度特性, 小世界特性, 自组织特性, 吸引子

Abstract:

Firstly,a general directed and weighted transaction network model is built on the basis of the transaction characteristics of bank accounts.Secondly,referring to the definition of complex network,the complex network properties of the transaction network are verified from two levels of network structure and node.The network structure properties includes static properties,named scale-free property and small-world property,and dynamic evolution property,that is self-organization property.In addition,the attractor property is utilized for verifying the dynamical characteristic of complex network nodes.Finally,on the real bank account transaction data contains illegal pyramid marketing activities,the following conclusions were drawn:the network has scale-free property,small-word property,partially self-organization property and strange attractors.

Key words: transaction network of bank accounts, complex network, scale-free property, small-world property, self-organization property, attractor

中图分类号: 

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