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【目的】讨论共推荐这一结合信息推荐与信息共现的信息行为概念。【方法】以学术博客为考察场景,科学网博客为应用实例,利用网络分析方法探索性地研究共推荐关系在学术博客中的实证特性。【结果】实证结果显示,相对于其他类型网络,科学网博客中的共推荐关系具有高聚集性、行为活跃、强度均衡等结构特点;在核心–边缘结构的分析中,网络以节点群体作为网络核心;在核心节点群体内部,节点之间体现一定的均衡性。【局限】共推荐行为在不同应用领域中有不同动机和功用,本文仅基于科学网学术博客社区进行实证。【结论】学术博客研究中,共推荐关系可作为一种新的行为研究视角,其在核心结构上体现出更为平等的特性。
[Purpose] To discuss the concept of information behavior recommending a combination of information recommendation and information co-occurrence. [Methods] Taking the academic blog as the research scene and the science blog as an example, the paper explores the empirical features of the total recommendation relationship in the academic blog by using the network analysis method. 【Result】 The empirical results show that compared with other types of networks, the total recommended relationship in science blog has the characteristics of high aggregation, active behavior and strength balance. In the analysis of core-edge structure, the network uses node groups as the network Core; within the core node groups, nodes show a certain balance between. [Limitations] The total recommended behavior has different motivations and functions in different fields of application. This article is based on the scientific blog community only. [Conclusion] In the research of academic blogs, the total recommended relationship can be regarded as a new perspective of behavior research, which shows more equal characteristics in the core structure.