基于图书共借数据的阅读社群分析

Reading Community Analysis Based on Book Sharing Data

高校图书馆里存在一种别样的阅读社群,会员之间虽然并不相识但是共读一本书,共享作者建构的意义空间。文章利用复旦大学图书馆开放图书借阅数据集建构图书共借网络模型,以网络模型中形成的25万个大小各异的阅读社群为研究对象,运用社会网络分析方法,考察其规模和数量特征,以及时间、空间和成员角色等形态特征。文章总结归纳出高校图书馆依托共借数据建立阅读社群的三大优势,即“满足普遍的读书会弹性参加意愿”、“具有时空累积优势”和“营造社交式阅读环境”,并提出“建立读者评论机制”和“打造虚拟阅读社群”两项推动阅读社群建设举措,以期促进阅读社群的持续发展。

There is a different kind of reading communities in university libraries.Although readers do not know each other,they read the same book and share the meaning space constructed by the author.The article uses the open book lending data set of Fudan University Library to construct a book co-borrowing network model.Based on the 250,000 reading communities of different sizes formed in the network model,the article applies social network analysis methods to examine their scale and quantity characteristics,as well as the morphological characteristics of time,space and members’roles.The paper summarizes the three strengths of establishing reading communities by relying on coborrowing data,namely,"satisfying the public’s willingness of flexible participation in reading clubs","spatial and temporal accumulation",and"creating a social reading environment".The paper also proposes two measures to promote the construction of reading communities,namely,"establishing a reader review mechanism"and"creating a virtual reading community",in order to promote the sustainable development of reading communities..