| 摘要: |
| 随着政务微博用户规模及影响力的不断提升，微博作为地震部门传播平台，在地震信息传播方面发挥着巨大的作用。本文在充分考虑地震部门行业特点的基础上，对30个地震官方微博数据进行收集，利用主成分分析法（PCA）归纳出3种地震微博的主要影响指标，即服务力主成分、交互力主成分和创作力主成分，并由此构建出地震官方微博影响力评估指标体系，在此基础上计算得出各地震官方微博的主成分指标得分和影响力综合得分，最后根据得分情况对地震官方微博影响力提出了具可行性的提升策略。 |
| 关键词: 地震 微博 主成分分析 影响力 评估体系 |
| DOI： |
| 分类号:P315 |
| 基金项目:山东省地震局科研项目（YB2108）资助 |
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| Evaluation of the Influence of Governmental Earthquake Micro-blog Based on Principal Component Analysis |
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Li Zhiheng1, Li Hong1, Cui Zhaowen1, Quan Tenglong1, Zhong Puyu1, Cui Huawei1, Yu Jiangwei2
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1.Shandong Earthquake Agency, Jinan 250014, China;2.Information Center of Ministry of Natural Resources, Beijing 100037, China
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| Abstract: |
| With the rapid development of the size of government micro-blog users and its influence, the function of governmental earthquake micro-blog communication platform has become more and more important. In this paper, under full consideration of the characteristics of the seismic sector, we collected the information from 30 governmental earthquake micro-blogs, and used the principal component analysis(PCA) to analyze the main influence of three kinds of governmental earthquake micro-blog indicators. We have established an evaluation index system for the influence of earthquake official micro-blog, in which the indexes include principal component of service force, principal component of interaction force and principal component of creation force. We have calculated the principal component of seismic micro-blog influence index score and the composite score. Finally, based on the score, we proposed a feasible strategy to improve the influence of the governmental earthquake micro-blogs. |
| Key words: Earthquake Micro-blog Principal component analysis Influence Evaluation system |
