The self-organizing evolutionary model of micro-blogging big data ecological system and empirical research

Jing Ma, Tong Xue, Chuanmin Mi, Chi Li
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Abstract

In this paper, we analyzed and expressed the micro-blogging from three elements: information, information subject and information environment based on the concepts and theories related to ecology and information ecology. Then we analyzed the dynamic evolutionary process, the driving force and the status of the micro-blogging Big Data ecological system based on self-organization theory. On this basis, we constructed the self-organization evolutionary model of micro-blogging Big Data ecological system. Then we take “the Malaysian flight MH370 vanished” as example to verify the self-organization evolutionary model of micro-blogging topic, and studies have shown that the model is basically in line with the evolution rules of actual micro-blogging topics. Finally, we put forward some suggestions according to the aspects of self-organizing guidance that making micro-blogging Big Data ecological system from disorder to order, in order to provide references for micro-blogging management.
微博大数据生态系统自组织演化模型及实证研究
本文以生态学和信息生态学的相关概念和理论为基础,从信息、信息主体和信息环境三个要素对微博进行分析和表达。基于自组织理论,分析了微博大数据生态系统的动态演化过程、驱动力和现状。在此基础上,构建了微博大数据生态系统的自组织演化模型。然后以“马航MH370失踪”为例,对微博话题的自组织演化模型进行验证,研究表明该模型基本符合实际微博话题的演化规律。最后,根据微博大数据生态系统从无序到有序的自组织引导方面提出了一些建议,以期为微博管理提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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