| 网络舆情信息受众的观点认知距离计量研究 |
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| 引用本文： | 高俊峰,宋绍成.网络舆情信息受众的观点认知距离计量研究[J].图书情报工作,2016,60(20):77-85. |
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| 作者姓名： | 高俊峰 宋绍成 |
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| 作者单位： | 1. 北华大学图书馆 吉林 132013;
2. 北华大学信息资源管理与服务研究所 吉林 132013;
3. 吉林大学管理学院 长春 130022;
4. 北华大学信息技术与传媒学院 吉林 132013 |
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| 基金项目： | 本文系国家社会科学基金项目“多模态危机情报在城市突发事件应急管理中的融合及应用研究”（项目编号：15BTQ062）研究成果之一。 |
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| 摘 要： | 目的/意义] 量化展现网络舆情信息受众之间的观点认知距离与情感归属，澄清其情感倾向性的形成脉络，为科学应对群体性突发事件提供思路。方法/过程] 切分舆情事项子话题，通过情感本体计算受众观点的极性强度，构建2-模的受众-关注焦点隶属矩阵和1-模的受众关系矩阵，并采用复杂网络可视化图谱对受众认知距离进行可视化展示，从网络舆情场的视角下阐述受众观点的互斥与耦合机制，描述受众情感倾向的形成脉络。结果/结论] 对受众整体认知网络中不同类型的受众加以区分，揭示真实情景中的网络舆情场力的作用特点，为舆情受众情感疏导工作提供实践出发点。
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| 关 键 词： | 舆情分析 观点计量 情感极化 网络舆情场 |
| 收稿时间： | 2016-07-03 |
Study on Cognitive Distance of View Metering Among the Audiences of Online Public Opinion |
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| Gao Junfeng,Song Shaocheng.Study on Cognitive Distance of View Metering Among the Audiences of Online Public Opinion[J].Library and Information Service,2016,60(20):77-85. |
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| Authors: | Gao Junfeng Song Shaocheng |
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| Institution: | 1. Beihua University Library, Jilin 132013;
2. Institute of Information Resource Management and Service, Beihua University, Jilin 132013;
3. School of Management, Jilin University, Changchun 130022;
4. College of Information Technology and Media, Beihua University, Jilin 132013 |
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| Abstract: | Purpose/significance] In order to provide innovative solution to mass emergencies, this paper quantitatively reveals the cognitive distance and sentiment belonging among audiences of network public opinion, and clarifies causes of their sentiment tendency. Method/process] First,subtopics of public opinion are split. Then, polar intensity of audiences' opinion is calculated through emotional ontology and 1-model matrix and 2-model matrix are built. Further more, visualization map in complicated network is used to visually depict the cognitive distance among the public. The mutual exclusion and coupling mechanism of the audiences' opinion are stated from the perspective of online public opinion field,describing the forming process of sentiment tendency.Result/conclusion] This paper distinguishes different types of audiences in the whole cognitive network, reveals functional features of field force in the real network situation,and provides a practical starting point to guide the network audience. |
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| Keywords: | public opinion analysis opinion metring sentiment polarization online public opinion field |
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