大数据联盟动态网络结构演化模型研究

Research on the Dynamic Network Structure Evolution Model of Big Data Alliance

[目的/意义]大数据联盟作为新型的组织形式,关于其演化规律及数据资源如何影响大数据联盟演化已成为亟需解决的热点问题。在数据资源视角下对大数据联盟网络结构动态演化模型进行了研究,对大数据联盟稳定有序发展具有重要理论与现实意义。[方法/过程]通过分析数据资源流动增值过程,提出了基于EDRV的演化动因,进一步分析了大数据联盟演化过程及演化规则,在无标度网络演化模型基础上,提出了基于成员核心能力、数据资源异质性和数据资源势差的演化模型,并对模型有效性进行仿真实验。[结果/结论]通过Matlab软件仿真验证表明提出的大数据联盟动态网络结构演化模型在一定程度上保持了成员间合作的公平性。最后提出了促进大数据联盟演化发展的策略。

[ Purpose/Significance] The influence of big data alliance＇ s evolution and data resources on the evolution of this new form of organization has become a hot issue. From the perspective of data resource, this paper made a research on the evolution model of dynamic network structure of big data alliance, which has great theoretical and practical significance for the stable and orderly development of big data alliance. [ Method/Process ] Through the analysis of the data resource value-added process, the paper proposed the evolution motiva- tion based on EDRV, analyzed the evolution process and the evolution rule of big data alliance, improved the evolution algorithm of the scale free network model, proposed the evolution model based on the core competence of members, the data resource potential and the data resource heterogeneity, and validate the model via a simulation experiment. [ Result/Conclusion ] The simulation results of Matlab show that the proposed dynamic model of the big data alliance dynamic network structure maintains the fairness of the cooperation among the members to certain extent. Finally, the paper puts forward the strategy for promoting the development of big data alliance.