| The Internet is a new, data-based information world. With the continuous development and improvement of the Internet, online communities (social media) gradually matured up. It is orderly built on with topics among people, besides, it also build a space of infinite possibilities for the "interactive dialogue" between people. The network population is a virtual reproduction of the real crowd of people which leads to the birth of the complexity of the network society. Therefore, studying the connotation, features, rules and propagation effects of the interaction topics between the network-population is an important problem which needs to be solved urgently.With the advent of the era of big data, we hope to be able to use "big data thinking" to discover the answer. It is not only an indication of a trend of development, but even become a fashion label. Therefore, the present study choose the users of "Baidu Post Bar" which is the most popular online community platform as the research object instead of analyzing individual behavior in the network. Through observation and analysis of user behavior from a large number of hot topics, we tease out three different types of hot topics as the "News - promoting generation type", "social phenomenon-prompting generation type" and "Entertainment products - prompting generation type " and found out the characteristics and general rules of these topics’ generation and influential effects.Thus, these finding and discussion would enrich the theoretical study of the population interactive online community, and bring its better reality applications. |
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