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基于社會系統(tǒng)響應(yīng)函數(shù)的在線群體分類研究

劉嘉琪,  齊佳音

劉嘉琪, 齊佳音. 基于社會系統(tǒng)響應(yīng)函數(shù)的在線群體分類研究[J]. 電子與信息學(xué)報, 2016, 38(9): 2141-2149. doi: 10.11999/JEIT160515
引用本文: 劉嘉琪, 齊佳音. 基于社會系統(tǒng)響應(yīng)函數(shù)的在線群體分類研究[J]. 電子與信息學(xué)報, 2016, 38(9): 2141-2149. doi: 10.11999/JEIT160515
LIU Jiaqi, QI Jiayin. Research on Online Group Classification Based on the Response Function of Social System[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2141-2149. doi: 10.11999/JEIT160515
Citation: LIU Jiaqi, QI Jiayin. Research on Online Group Classification Based on the Response Function of Social System[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2141-2149. doi: 10.11999/JEIT160515

基于社會系統(tǒng)響應(yīng)函數(shù)的在線群體分類研究

doi: 10.11999/JEIT160515 cstr: 32379.14.JEIT160515
  • 1.

    (北京郵電大學(xué)經(jīng)濟管理學(xué)院 北京 100876) ②(北京郵電大學(xué)可信分布式計算與服務(wù)教育部重點實驗室 北京 100876) ③(上海對外經(jīng)貿(mào)大學(xué)工商管理學(xué)院 上海 201620)

基金項目: 

國家973基礎(chǔ)重大課題(SQ2012CB037347)，國家自然科學(xué)基金(71231002)

Research on Online Group Classification Based on the Response Function of Social System

  • 1.

    (Institute of Economic Management, Beijing University of Posts and Telecommunications, Beijing 100876, China)

Funds: 

The Major State Basic Research Development Program of China (973 Program)(SQ2012CB037347), The National Natural Science Foundation of China (71231002)

  • 摘要: 該文致力于豐富在線群體的研究體系，為未來探索深層次科學(xué)問題提供支撐。討論了在線群體與在線話題的定義及常見分類方式。重點展現(xiàn)了一種全新的依據(jù)觀測社會系統(tǒng)響應(yīng)函數(shù)的趨勢將在線話題分為4類的定性研究方法，即外源性首要傳播型話題、外源性次要傳播型話題、內(nèi)源性首要傳播型話題和內(nèi)源性次要傳播型話題，并且進(jìn)一步以此區(qū)分討論不同類型話題的在線群體。同時，明確地提出了規(guī)范的使用步驟與實際操作時可能遇到的問題及解決方法。最后嘗試運用該方法來估計以新浪微博與百度貼吧為代表的在線社交網(wǎng)絡(luò)平臺中各類話題群體的分布情況。
    Abstract: Devoted to enriching the research system of online group, and laying the foundation for exploring deep scientific problem in the future, this paper discusses the definition of online group, online topic, common classification methods, and primarily introduces a new qualitative method of online topic classification based on observing the trend of a social system response function. Through this method, online topic discussed by online group can be divided into exogenous critical topic, exogenous subcritical topic, endogenous critical topic, and endogenous subcritical topic. The standardized steps to this method are put forward, and it is figured out that the problems may occur when applying it to the practice. Whats more, this method is tried to estimate the distribution of four types of topics in the two representatives of online social network platform Sina microblog and Baidu Tieba.
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出版歷程
  • 收稿日期:  2016-05-23
  • 修回日期:  2016-07-22
  • 刊出日期:  2016-09-19

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