Advanced Search
Volume 38 Issue 9
Sep.  2016
Turn off MathJax
Article Contents
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

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

doi: 10.11999/JEIT160515
Funds:

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

  • Received Date: 2016-05-23
  • Rev Recd Date: 2016-07-22
  • Publish Date: 2016-09-19
  • 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.
  • loading
  • BON Gustave Le. The Crowd: A Study of The Popular Mind[M]. New York: The Macmillan Co., 1896: 11-43.
    ARMSTRONG A and HAGELIII J H. The real value of online communities[J]. Harvard Business Review, 1996, 74(3): 85-95. doi: 10.12691/ijefm-2-2-2.
    曹玖新, 陈高君, 吴江林, 等. 基于多维特征分析的社交网络意见领袖挖掘[J]. 电子学报, 2016, 44(4): 898-905. doi: 10. 3969/j.issn.0372-2112.2016.04.021.
    CAO Jiuxin, CHEN Gaojun, WU Jianglin, et al. Multi- feature based opinion leader mining in social networks[J]. Acta Electronica Sinica, 2016, 44(4): 898-905. doi: 10.3969/ j.issn.0372-2112.2016.04.021.
    吴信东, 李毅, 李磊. 在线社交网络影响力分析[J]. 计算机学报, 2014(4): 735-752.
    WU Xindong, LI Yi, and LI Lei. Influence analysis of online social networks[J]. Chinese Journal of Computers, 2014(4): 735-752.
    李东方, 俞能海, 尹华罡. 一种Web 2.0环境下互联网热点挖掘算法[J]. 电子与信息学报, 2010, 32(5): 1141-1145. doi: 10. 3724/SP.J.1146.2009.00641.
    LI Dongfang, YU Nenghai, and YIN Huagang. Mining hot topic on Internet under web 2.0[J]. Journal of Electronics Information Technology, 2010, 32(5): 1141-1145. doi: 10. 3724 /SP.J.1146.2009.00641.
    ZHAO L, LI Y, LIU X, et al. A graph-based bursty topic detection approach in user-generated texts[C]. IEEE Web Information System and Application Conference, Tianjin, China, 2015: 273-278. doi: 10.1109/WISA.2014.57.
    ZHANG C, WANG H, CAO L, et al. A hybrid term-term relations analysis approach for topic detection[J]. Knowledge-based Systems, 2015, 93(11): 109-120. doi: 10.1016/j.knosys.2015.11.006.
    刘权, 郭武. 基于核主成分分析的话题跟踪系统[J]. 清华大学学报: 自然科学版, 2013(6): 865-868.
    LIU Quan and GUO Wu. Topic tracking system based on kernel principal component analysis[J]. Journal of Tsinghua University: Natural Science Edition, 2013(6): 865-868.
    谢丽星, 周明, 孙茂松. 基于层次结构的多策略中文微博情感分析和特征抽取[J]. 中文信息学报, 2012, 26(1): 73-83.
    XIE Lixing, ZHOU Ming, and SUN Maosong. Sentiment analysis and feature extraction of Chinese micro-blog based on hierarchical structure[J]. Journal of Chinese Information Processing, 2012, 26(1): 73-83.
    REN Yafeng, WANG Ruimin, and JI Donghong. A topic- enhanced word embedding for twitter sentiment classification [J]. Information Sciences, 2016, 24(7): 1031-1040. doi: 10. 1016/j.ins.2016.06.040.
    刘玉新. Web2.0互联网在线话题发现和热度评估[D]. [硕士论文], 华南理工大学, 2013: 23-45.
    LIU Yuxin. Web2.0 Internet online topic discovery and hotness evaluation[D]. [Master dissertation], South China University of Technology, 2013: 23-45.
    龙志祎, 程葳, 沈俊辉. TDT中新发现话题的分类研究与实现[J]. 武汉理工大学学报: 信息与管理工程版, 2009, 5(5): 762-765.
    LONG Zhiyi, CHEN Wei, and SHEN Junhui. Research and implementation of new detected topic classification in TDT technology[J]. Journal of Wuhan University: Information Management Engineering, 2009, 5(5): 762-765.
    刘宝忠. 微博客在线社会网络的特性研究[D]. [硕士论文], 西安理工大学, 2011: 32-35.
    LIU Baozhong. The research on the characteristics of microblog[D]. [Master dissertation], Xi,an University of Technology, 2011: 32-35.
    张永军, 刘金岭, 马甲林. 中文短信文本信息流中多话题的分类抽取[J]. 现代图书情报技术, 2014, 30(Z1): 101-106.
    ZHANG Yongjun, LIU Jinling, and MA Jialin. Classification of multi topic extraction based on Chinese short information text message flow[J]. New Technology of Library and Information Service, 2014, 30(Z1): 101-106.
    易欣. 微话题的社会语言学解读[J]. 北方文学旬刊, 2013(6): 143-145.
    YI Xin. A sociolinguistic interpretation of the micro topic[J]. Northern Literature Magazine, 2013(6): 143-145.
    张萌. 关于新浪微博热门话题的分析研究[D]. [硕士论文], 山东大学, 2015: 11-24.
    ZHANG Meng. The analysis of the hot topics on Sina microblog[D]. [Master dissertation], Shandong University, 2015: 11-24.
    洪宇, 张宇, 刘挺, 等. 话题检测与跟踪的评测及研究综述[J]. 中文信息学报, 2007, 21(6): 71-87. doi: 10.3969/j.issn.1003- 0077.2007.06.011.
    HONG Yu, ZHANG Yu, LIU Ting, et al. Review on the evaluation and research of topic detection and tracking[J]. Journal of Chinese Information Processing, 2007, 21(6): 71-87. doi: 10.3969/j.issn.1003-0077.2007.06.011.
    ELLISON N B. Social network sites: Definition, history, and scholarship[J]. Journal of Computer-mediated Communication, 2007, 13(1): 210-230. doi: 10.111/j.1083- 6101.2007.00393x.
    SPROULL L. Online Communities[M]. New York: Handbook of Computer Networks: Distributed Networks, Network Planning, Control, Management, and New Trends and Applications, 2012: 898-914. doi: 10.1002/047148296X. tie128.
    ALDRICH H E and RUEF M. Organizations Evolving[M]. London: SAGE Publications Ltd, 2006: 121-123. doi: 10. 4135/9781446212509.
    MATZAT U. A theory of relational signals in online groups [J]. New Media Society, 2009, 11(3): 375-394. doi: 10.1177/ 1461444808101617.
    SORNETTE D, DESCHATRES F, GILBERT T, et al. Endogenous versus exogenous shocks in complex networks:an empirical test using book sale rankings[J]. Physical Review Letters, 2004, 93(22): 211-218. doi: 10.1103/PhysRevLett. 93.228701.
    CRANE R. Robust dynamic classes revealed by measuring the response function of a social system[J]. Proceedings of the National Academy of Sciences, 2008, 105(41): 15649-15653. doi: 10.1073/pnas.0803685105.
    KWAK H, LEE C, PARK H, et al. What is twitter, a social network or a news media?[C]. the 19th International World Wide Web (WWW) Conference, Raleigh, NC, USA, 2010: 591-600.
    许小东. 管理者工作内源压力与外源压力的结构模型研究[J]. 管理工程学报, 2007, 21(1): 3-40.
    XU Xiaodong. A structure modeling study on the job intrinsic stressors and extrinsic stressors of the managers[J]. Journal of Industrial Engineering and Engineering Management, 2007, 21(1): 3-40.
    POSNER M I. Orienting of attention[J]. Quarterly Journal of Experimental Psychology, 2007, 32(1): 3-25.
    宋恩梅, 左慧慧. 新浪微博中的权威与人气: 以社会网络分析为方法[J]. 图书情报知识, 2012(3): 43-54.
    SONG Enmei and ZUO Huihui. Authority and popularity in micro-blog Sina: A social network analysis method[J]. Documentation, Information Knowledge, 2012(3): 43-54.
    李珊珊. 百度贴吧10周年, 为兴趣而生关于贴吧十年粉丝文化变迁的解读[J]. 新闻世界, 2014(10): 202-204.
    LI Shanshan. Baidu Tieba 10 anniversary, for the interest and life-on the BBS ten years fans cultural changes[J]. News World, 2014(10): 202-204.
    路双. 浅析网络趣缘群体的特征以百度贴吧爆料贴为例[J]. 新闻世界, 2015(3): 47-48.
    LU Shuang. Analysis of the characteristics of the network interest margin group-Baidu Tieba posted as an example[J]. News World, 2015(3): 47-48.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1330) PDF downloads(603) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return