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【目的】研究h度这一新型带权信息网络分析框架在学术博客推荐网络中的特性。【方法】以科学网博客2013年数据为基础,构建学术博客推荐网络,计算h度等相关参数,并辅以信息可视化进行讨论。【结果】学术博客推荐网络中,高h度节点的产生可由信息源(博主)所持有的学术知识内涵导致,也可因信息源提供话题的兴趣外延引发;h度(hA)与节点带权度(NA)之间存在形如NA=b×hA2的近似函数关系;高h度节点通常成为网络中心部分的局部子群组织者。【局限】h度并非完美指标,后续研究可试用改进型h度进行拓展。【结论】h度可作为学术博客推荐网络分析的测度工具之一,对于此类社群的管理可从高h度节点入手。
【Objective】 To study the characteristics of h degree, a new type of weighted information network analysis framework, in the academic blog recommendation network. [Methods] Based on the data from ScienceNet blog in 2013, we constructed an academic blog recommendation network and calculated the h-related parameters, supplemented by information visualization. [Results] The results of the academic blog recommendation network, the high degree of h nodes can be produced by the information source (blogger) held by the academic content of knowledge can also be caused by the information source to provide topics of interest triggered; h (hA) and node The weighted function (NA) exists in the form of an approximate function such as NA = b × hA2. High h-degree nodes usually become local sub-group organizers in the central part of the network. 【Limit】 h degree is not a perfect indicator, follow-up study can try improved h degree to expand. 【Conclusion】 H degree can be used as one of the measure tools for academic blogs recommending network analysis. Management of such communities can be started with h-degree nodes.