基于空间可视化的大数据舆情研判体系建构研究
|
摘要
【目的/意义】科学准确地对时空范畴的舆情演化态势做出研判是及时防范风险事件、完善危机治理手段的重要前提。【方法/过程】本文核心在于建构一套基于空间可视化理论和技术的大数据舆情研判体系,该体系以空间行动视角的互动理论作为基础支撑,利用空间分析技术,抓取海量附加位置标签的舆情信息,存储为短期专项数据库和长期综合数据库,将时空拟合的计算模型结果映射到可视化舆情监测平台,实现研判过程中的舆情事件空间可视化。【结果/结论】以期弥补舆情研判的静态处置缺陷,最终达到有效辅助政府决策的目的。
【Purpose/significance】Scientifically and accurately researching and judging the time and space evolution of public opinion is an important prerequisite for timely prevention of risk events and improvement of crisis management methods.【Method/process】The core of this paper is to construct a set of big data public opinion judgment system based on spatial visualization theory and technology. The system is based on the interactive theory of spatial action perspective. It uses spatial analysis technology to capture the public opinion information of massive additional location tags, and store it as a special database for short-term goals and a comprehensive database targeting long-term deployment. The results of the time-space fitting calculation model are mapped to the visual public opinion monitoring platform to realize the visualization of the public opinion event space in the process of research and judgment.【Result/conclusion】In order to make up for the static disposal defects of the public opinion judgment, and finally achieve the purpose of effectively supporting the government's decision-making.
【Purpose/significance】Scientifically and accurately researching and judging the time and space evolution of public opinion is an important prerequisite for timely prevention of risk events and improvement of crisis management methods.【Method/process】The core of this paper is to construct a set of big data public opinion judgment system based on spatial visualization theory and technology. The system is based on the interactive theory of spatial action perspective. It uses spatial analysis technology to capture the public opinion information of massive additional location tags, and store it as a special database for short-term goals and a comprehensive database targeting long-term deployment. The results of the time-space fitting calculation model are mapped to the visual public opinion monitoring platform to realize the visualization of the public opinion event space in the process of research and judgment.【Result/conclusion】In order to make up for the static disposal defects of the public opinion judgment, and finally achieve the purpose of effectively supporting the government's decision-making.
引文
1刘毅.网络舆情研究概论[M].天津:天津人民出版社,2007.
2叶皓.突发事件的舆论引导[M].南京:江苏人民出版社,2009.
3唐钧.应急管理与危机公关:突发事件处置,媒体舆情应对和信任危机管理[M].北京:中国人民大学出版社,2012.
4张明新,张凌,陈先红.Web 2.0环境下政府机构的对话沟通与社会资本--基于对公安微博的实证考察[J].现代传播(中国传媒大学学报),2014,36(10):55-60.
5中共中央宣传部舆情信息局.舆情信息工作概论[M].北京:学习出版社,2006.
6中共中央宣传部舆情信息局.网络舆情信息工作理论与实务[M].北京:学习出版社,2009.
7孟建,裴增雨.网络舆情的收集研判与有效沟通[M].北京:五洲传播出版社,2013:113.
8徐迪.网络舆情研判指标体系与理论模型建构研究[J].现代情报,2013,33(10):6-11.
9曾润喜,徐晓林.网络舆情突发事件预警系统,指标与机制[J].情报杂志,2009,(11):52-54.
10喻国明.关于网络舆论场供给侧改革的几点思考--基于网络舆情生态的复杂性原理[J].新闻与写作,2016,(5)43-45.
11方付建.突发事件网络舆情演变研究[D].武汉:华中科技大学,2011.
12 Wang G,Liu Y,Li J,et al.Superedge coupling algorithm and its application in coupling mechanism analysis of online public opinion supernetwork[J].Expert Systems with Applications,2015,42(5):2808-2823.
13王国华,冯伟,王雅蕾.基于网络舆情分类的舆情应对研究[J].情报杂志,2013,32(5):1-4.
14 Anonymous.Editorial:A place for everything[J].Nature2008,453(2):2.
15 Kwan M P.Interactive geovisualization of activity-trave patterns using three-dimensional geographical information systems:a methodological exploration with a large data set[J].Transportation Research Part C:Emerging Technologies,2000,8(1-6):185-203.
16 Kwan M P.Feminist visualization:Re-envisioning GIS as a method in feminist geographic research[J].Annals of the association of American geographers,2002,92(4):645-661.
17 Miller H J.Measuring space‐time accessibility benefits within transportation networks:basic theory and computational procedures[J].Geographical analysis,1999,31(1):187-212.
18 Miller H J.Modelling accessibility using space-time prism concepts within geographical information systems:fourteen years on[J].Classics from IJGIS:twenty years of the international journal of geographical information science and systems,2006,5(3):175-179.
19 Wu Y H,Miller H J.Computational tools for measuring space-time accessibility within transportation networks with dynamic flow[J].Journal of Transportation and Statistics,2001,4(2/3):1-14.
20 Cox K R,Golledge R.Behavioral problems in geography revisited[M].NY:Routledge,2015.
21孙秀林.城市研究中的空间分析[J].新视野,2015,(1):61-67.
22柴彦威,谭一洺,申悦,关美宝.空间-行为互动理论构建的基本思路[J].地理研究,2017,36(10):1959-1970.
23 Nicholls W.Place,networks,space:theorising the geographies of social movements[J].Transactions of the institute of British Geographers,2009,34(1):78-93.
24 Flint C.Introduction to geopolitics[M].NY:Routledge,2006.
25 Armstrong H,Taylor J.Regional Economics and Policy[M].NJ:Blackwell,2000.
26 Pfeiffer D U,Stevens K B.Spatial and temporal epidemiological analysis in the Big Data era[J].Preventive veterinary medicine,2015,122(1-2):213-220.
27 Johnson S.The ghost map:The story of London's most terrifying epidemic--and how it changed science,cities,and the modern world[M].Westininster:Penguin,2006.
28 Bernasco W,Ruiter S,Block R.Do street robbery location choices vary over time of day or day of week?A test in Chicago[J].Journal of research in crime and delinquency,2017,54(2):244-275.
29 Anselin L,Cohen J,Cook D,et al.Spatial analyses of crime[J].Criminal justice,2000,4(2):213-262.
30 O'sullivan D,Unwin D.Geographic information analysis[M].NJ:John Wiley&Sons,2014.
31 Buja A,Cook D,Swayne D F.Interactive high-dimensional data visualization[J].Journal of computational and graphical statistics,1996,5(1):78-99.
2叶皓.突发事件的舆论引导[M].南京:江苏人民出版社,2009.
3唐钧.应急管理与危机公关:突发事件处置,媒体舆情应对和信任危机管理[M].北京:中国人民大学出版社,2012.
4张明新,张凌,陈先红.Web 2.0环境下政府机构的对话沟通与社会资本--基于对公安微博的实证考察[J].现代传播(中国传媒大学学报),2014,36(10):55-60.
5中共中央宣传部舆情信息局.舆情信息工作概论[M].北京:学习出版社,2006.
6中共中央宣传部舆情信息局.网络舆情信息工作理论与实务[M].北京:学习出版社,2009.
7孟建,裴增雨.网络舆情的收集研判与有效沟通[M].北京:五洲传播出版社,2013:113.
8徐迪.网络舆情研判指标体系与理论模型建构研究[J].现代情报,2013,33(10):6-11.
9曾润喜,徐晓林.网络舆情突发事件预警系统,指标与机制[J].情报杂志,2009,(11):52-54.
10喻国明.关于网络舆论场供给侧改革的几点思考--基于网络舆情生态的复杂性原理[J].新闻与写作,2016,(5)43-45.
11方付建.突发事件网络舆情演变研究[D].武汉:华中科技大学,2011.
12 Wang G,Liu Y,Li J,et al.Superedge coupling algorithm and its application in coupling mechanism analysis of online public opinion supernetwork[J].Expert Systems with Applications,2015,42(5):2808-2823.
13王国华,冯伟,王雅蕾.基于网络舆情分类的舆情应对研究[J].情报杂志,2013,32(5):1-4.
14 Anonymous.Editorial:A place for everything[J].Nature2008,453(2):2.
15 Kwan M P.Interactive geovisualization of activity-trave patterns using three-dimensional geographical information systems:a methodological exploration with a large data set[J].Transportation Research Part C:Emerging Technologies,2000,8(1-6):185-203.
16 Kwan M P.Feminist visualization:Re-envisioning GIS as a method in feminist geographic research[J].Annals of the association of American geographers,2002,92(4):645-661.
17 Miller H J.Measuring space‐time accessibility benefits within transportation networks:basic theory and computational procedures[J].Geographical analysis,1999,31(1):187-212.
18 Miller H J.Modelling accessibility using space-time prism concepts within geographical information systems:fourteen years on[J].Classics from IJGIS:twenty years of the international journal of geographical information science and systems,2006,5(3):175-179.
19 Wu Y H,Miller H J.Computational tools for measuring space-time accessibility within transportation networks with dynamic flow[J].Journal of Transportation and Statistics,2001,4(2/3):1-14.
20 Cox K R,Golledge R.Behavioral problems in geography revisited[M].NY:Routledge,2015.
21孙秀林.城市研究中的空间分析[J].新视野,2015,(1):61-67.
22柴彦威,谭一洺,申悦,关美宝.空间-行为互动理论构建的基本思路[J].地理研究,2017,36(10):1959-1970.
23 Nicholls W.Place,networks,space:theorising the geographies of social movements[J].Transactions of the institute of British Geographers,2009,34(1):78-93.
24 Flint C.Introduction to geopolitics[M].NY:Routledge,2006.
25 Armstrong H,Taylor J.Regional Economics and Policy[M].NJ:Blackwell,2000.
26 Pfeiffer D U,Stevens K B.Spatial and temporal epidemiological analysis in the Big Data era[J].Preventive veterinary medicine,2015,122(1-2):213-220.
27 Johnson S.The ghost map:The story of London's most terrifying epidemic--and how it changed science,cities,and the modern world[M].Westininster:Penguin,2006.
28 Bernasco W,Ruiter S,Block R.Do street robbery location choices vary over time of day or day of week?A test in Chicago[J].Journal of research in crime and delinquency,2017,54(2):244-275.
29 Anselin L,Cohen J,Cook D,et al.Spatial analyses of crime[J].Criminal justice,2000,4(2):213-262.
30 O'sullivan D,Unwin D.Geographic information analysis[M].NJ:John Wiley&Sons,2014.
31 Buja A,Cook D,Swayne D F.Interactive high-dimensional data visualization[J].Journal of computational and graphical statistics,1996,5(1):78-99.