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数字人文开放数据竞赛中行动者协作特征研究 被引量:10

Exploring Participants’Collaboration Characteristics of Open Data Contests in Digital Humanities
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摘要 数字人文类开放数据竞赛是近年来公共文化服务领域对于文化大数据深度聚合、利用与开发的新兴模式。文章以2019年上海图书馆开放数据应用开发竞赛作为案例,选取竞赛期间官方微信群的聊天记录作为分析样本,采用社会网络分析的方法,在中心度、集群和小世界效应三方面对开放数据竞赛的行动者协作特征进行实证分析。研究发现:数字人文类开放数据竞赛存在竞争性与合作性共存的特点;主办方群体在竞赛过程中参与程度高,协作能力较强;竞赛成绩靠前的参赛团队成员具有较强的协作能力,且团队内部有明确的角色分工;不同参赛团队之间也存在明显的协作行为,竞赛成员之间的关系较为紧密,且基于不同的话题类型形成了相应的子社群。 Open data contest in the domain of digital humanities is an emerging model for the in-depth aggregation,utilization,and development of big data in the field of cultural heritage in recent years.Taking the2019 Shanghai Library Open Data Application Development Competition as a case,this paper aims at exploring the collaboration characteristics of the contestants.Chat records extracted from the official WeChat group during the competition were selected as the analysis sample,and by means of social network analysis,the collaboration characteristics of the actors in the contest were empirically analyzed in terms of centrality,clustering,and smallworld effects.The results show that:(i)open data contest in digital humanities is characterized by the coexistence of competition and cooperation;(ii)the sponsor group has higher levels of engagement and collaboration during the competition;(iii)team members with top rankings enjoy strong teamwork,and there is a clear division of laborswithintheteam;(iv)there are obvious collaboration among different participating teams.
作者 赵宇翔 仝冲 张妍 ZHAO Yuxiang;TONG Chong;ZHANG Yan
出处 《图书馆论坛》 CSSCI 北大核心 2020年第11期56-67,共12页 Library Tribune
基金 国家自科基金面上项目“基于科研众包模式的公众科学项目运作与管理机制研究”(项目编号:71774083) 中央高校基本科研业务费专项资金资助(项目编号:30919011104)研究成果。
关键词 数字人文 开放数据竞赛 价值共创 协作特征 社会网络分析 digital humanities open data contest value co-creation collaboration characteristics social networkanalysis
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  • 1周晓英.信息构建的基本原理研究[J].图书情报工作,2004,48(6):5-7. 被引量:38
  • 2王尊新.高校图书馆网站评价指标体系研究[J].现代图书情报技术,2005(3):60-62. 被引量:43
  • 3王曰芬,路菲,吴小雷.文献计量和内容分析的比较与综合研究[J].图书情报工作,2005,49(9):70-73. 被引量:59
  • 4王知津,李明珍.网站评价指标体系的构建方法与过程[J].图书与情报,2006(3):45-52. 被引量:67
  • 5吕跃进.指数标度判断矩阵的一致性检验方法[J].统计与决策,2006,22(18):31-32. 被引量:71
  • 6景天魁.社会网络分析:理论、方法与应用[M].北京:北京师范大学出版社.2009.
  • 7T Palonen, K Hakkarainen. Patterns of Interaction in Computer- Supported Learning" A Social Network Analysis[A].In: Fishman B O'Connor-Divelbiss S ,ed. Fourth International Conference of the Learning Science.[C]. New Jersey:Erlbaum,2000,334-339.
  • 8M de Laat.Network and Content Analysis in an Online Community Discourse[A]. In: Stahl G, ed. Proceedings of Computer Support for Collaborative Learning (CSCL) 2002 Conference[C]. New Jersey:Lawrence Erlbaum,2002, 625-626.
  • 9B McDonald, N Noakes, Stuckdy B ,Susanne N. Breaking down learner isolation: How social network analysis informs design and facilitation for online learning[R]. American Educational Research Association 2005 Annual Meeting,Montreal,2005.
  • 10K A Frank.Quantitative methods for studying social context in mul tilevels and through interpersonal relations[J]. Review of Research in Education,1998,(23):170-216.

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