社交网络用户行为的体裁互文性分析

计算机科学 ›› 2015, Vol. 42 ›› Issue (Z11): 268-272.

社交网络用户行为的体裁互文性分析

万亚平,阳小华,刘志明,李治,张娟

南华大学计算机科学与技术学院衡阳421001,南华大学计算机科学与技术学院衡阳421001,南华大学计算机科学与技术学院衡阳421001,北京空天技术研究所北京100074,南华大学计算机科学与技术学院衡阳421001

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受湖南省哲学社会科学基金(14YBA335),湖南省科技计划支撑项目(2013FJ3030),湖南省高校思想政治教育研究课题基金资助

Analysis of Genre Intertexuality on Social Network User Behavior

WAN Ya-ping, YANG Xiao-hua, LIU Zhi-ming, LI Zhi and ZHANG Juan

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 社交网络是基于用户之间共同的兴趣、爱好等构建的一种社会关系网络服务。社交网络中包含了大量的用户行为,研究这些行为对增强用户体验,增加用户使用粘性,提高资源的分享率以及其它一些服务的有效性都具有十分重要的意义。体裁互文性是语言学的基本概念,它与用户行为具有一些共性特征。实验表明,社交网络用户行为和体裁互文性具有相似性,利用体裁互文性研究用户的行为将更有利于信息共享、传播以及知识通信。

关键词: 互文性,体裁,体裁互文性,用户行为

Abstract: Social network is a kind of social relationships network service which is built based on users common interests and hobbies.Social network contains a large number of user behavior,and by analyzing these behavior it is very significant to enhance the user experience,increase user viscosity,improve resource sharing rate and effectiveness of some other services.Generic intertextuality is a basic concept in linguistics and it has some common characteristics with user behavior.The results show that the social network user behavior is similar to generic intertextuality.Studying user behaviors by generic intertextuality will be more conducive to information sharing,information dissemination and knowledge communication.

Key words: Intertexuality,Genre,Genre intertexuality,User behavior

万亚平,阳小华,刘志明,李治,张娟. 社交网络用户行为的体裁互文性分析[J]. 计算机科学, 2015, 42(Z11): 268-272. https://doi.org/

WAN Ya-ping, YANG Xiao-hua, LIU Zhi-ming, LI Zhi and ZHANG Juan. Analysis of Genre Intertexuality on Social Network User Behavior[J]. Computer Science, 2015, 42(Z11): 268-272. https://doi.org/

参考文献

[1] 孔维泽,刘奕群,张敏,等.问答社区中回答质量的评价方法研究[J].中文信息学报,2011,5(1):3-8
[2] 王玉祥,乔秀全,李晓峰,等.上下文感知的移动社交网络服务选择机制研究[J].计算机学报,2010,3(11):2126-2135
[3] Facebook.http:/ /www.facebook.com
[4] 方鸷飞,林鸿飞,杨志豪,等.中文文本体裁的自动分类机制[J].中文信息学报,2006,0(2):24-32
[5] Stein B,Eissen S M.Retrieval Models for Genre Classification[J].Journal of Information Systems,2008,0(1):93-119
[6] 陆汝钤.知识科学及其研究前沿[EB/OL].http://www.iipl.fudan.edu.cn /research/ks.html,
[7] Shepherd M,Watters C.The Evolution of Cybergenres[C]∥Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences.1998:97-110
[8] Crowston K,Kwasnik B H.A Framework for Creating a Facetted Classification for Genres:Addressing Issues of Multidimensionality[C]∥Proceedings of the 37th Hawaii International Conference on System Sciences.2004:1-9
[9] Freund L S.Exploiting task-document relations in support of information retrieval in the workplace[D].Toronto:Faculty of Information Studies,University of Toronto,2008
[10] Vidulin V,Lutrek M,Gams M.Using Genres to ImproveSearch Engines[C]∥Proceedings of the International Workshop “Towards Genre-Enabled Search Engines:The Impact of NLP”.Borovets,Bulgaria.September,2007
[11] Swales M,M J.Genre Analysis:English in Academic and Research Settings[M].Cambridge:Cambridge University Press,1990
[12] Askehave I,Swales M.Genre Identification and Comminicative Purpose:A Problem and a Possible Solution[J].Applied Linguistics,2001,2(2):195-212
[13] Orlikowski W J,Yates J.Genre repertoire:The structuring of communicative practices in organizations[J].Administrative Sciences,1994,33(1):541-574
[14] Rosso M A.User-Based Identification of Web Genres[J].Journal of the American Society for Information Science and Technology,2008,9(7):1053-1072
[15] Askehave I,Nielsen A E.Digital genres:a challenge to traditionalgenre theory[J].Information Technology & People,2005,8(2):120-141
[16] Santini M.Automatic Genre Identification:Towards a Flexible Classification Scheme[C]∥Proceedings of Future Directions in Information Access.BCS IRSG Symposium,2007
[17] Santini M.Cross-Testing a Genre Classification Model for the Web[J].Text,Speech and Language Technology,2011,42(3):87-128
[18] Vidulin V,Lutrek M,Gams M.Using Genres to ImproveSearch Engines[C]∥Proceedings of the International Workshop “Towards Genre-Enabled Search Engines:The Impact of NLP”.Borovets,Bulgaria.September,2007
[19] Rosso M A.User-Based Identification of Web Genre[J].Journal of the American Society for Information Science and Technology,2008,9(7):1053-1072
[20] Barbedo J G A,Lopes A.Automatic Genre Classification of Musical Signals[J].EURASIP Journal on Advances in Signal Processing,2007(1):1-12
[21] Fairclough N.Discourse,Social Change[M].Cambridge:Polity Press,1992
[22] 辛斌.语篇互文性的语用分析[J].外语研究,2000(3):14-16
[23] 姜怡,姜欣,方淼.基于互文性度量的文本翻译索引[J].计算机工程与设计,2010,1(15):3490-3493
[24] 朱立元.现代西方美学史[M].上海:上海文艺出版社,1993

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed