图书情报工作 ›› 2018, Vol. 62 ›› Issue (10): 62-69.DOI: 10.13266/j.issn.0252-3116.2018.10.009

• 情报研究 • 上一篇    下一篇

虚拟求职社区的用户交互行为特点——以应届生求职论坛为例

王雪芬1,2, 朱庆华1, 常李艳2, 郭黎黎2, 仝虎3   

  1. 1. 南京大学工程管理学院 南京 210023;
    2. 南京大学金陵学院信息科学与工程学院 南京 210089;
    3. 南京旅游职业学院 南京 211100
  • 收稿日期:2017-10-09 修回日期:2018-01-15 出版日期:2018-05-20 发布日期:2018-05-20
  • 作者简介:王雪芬(ORCID:0000-0002-4021-9934),讲师,博士研究生,E-mail:xuefenls@163.com;朱庆华(ORCID:0000-0002-4879-399X),教授,博士生导师;常李艳,讲师,博士研究生;郭黎黎,中级工程师,硕士;仝虎,工程师,硕士。
  • 基金资助:
    本文系国家自然科学基金项目"协同视角下社会化搜索的形成机制及实现模式研究"(项目编号:71473114)研究成果之一。

Characteristics of User Interaction Behaviors in Virtual Job-hunting Communities——Taking YingJieSheng BBS as an Example

Wang Xuefen1,2, Zhu Qinghua1, Chang Liyan2, Guo Lili2, Tong Hu3   

  1. 1. School of Engineering Management, Nanjing University, Nanjing 210023;
    2. School of Information Science and Engineering, Nanjing University Jingling College, Nanjing 210089;
    3. Nanjing Institute of Tourism and Hospitality, Nanjing 211100
  • Received:2017-10-09 Revised:2018-01-15 Online:2018-05-20 Published:2018-05-20

摘要: [目的/意义]虚拟求职社区已成为求职者获取与分享信息与资源的重要渠道。通过挖掘虚拟求职社区的用户交互模式及结构,为社区的完善提出相应建议。[方法/过程]利用应届生求职论坛的用户交互数据,结合应用内容分析与社会网络分析方法,从用户交互内容及交互关系两个维度展开分析。[结果/结论]研究发现,用户交互最多的是求职相关事实数据,但用户也寻求社交网络、推荐及工具性支持等社会支持;不同求职主题的交互需求有较大差异,用户最为关注的是笔试/面试主题的各方面信息与资源。同时,用户整体处于离散状态,交流较少;主要关系网络由少数关键成员支撑,缺少足够的核心用户推动信息与资源的传播。

关键词: 虚拟求职社区, 交互模式, 社会网络分析, 内容分析, 群体交互

Abstract: [Purpose/significance] The virtual job-hunting community has become an important channel for job seekers to obtain and share information and resources. The purpose of this study is to explore user interaction patterns and structures of the virtual job-hunting community, and put forward the corresponding suggestions for the improvement of the virtual community.[Method/process] Based on the user interaction data from YingJieSheng BBS, using content analysis and social network analysis,this article studies the interactive content and interactive relationship among users.[Result/conclusion] The fact is the most exchanged type of all support types. Social supports, including social network support, information referral support and instrumental support, are also important. Different job topics show different interaction patterns, and the test/interview topic is of most concern. At the same time, the user community is in a discrete state, with less communication between users. Several main networks are supported by a few key members, lacking sufficient core users to promote the dissemination of information and resources.

Key words: virtual job-hunting community, social interaction patterns, social network analysis, content analysis, group communication

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