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Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (11): 1-15    DOI: 10.11925/infotech.2096-3467.2019.0249
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Spatio-Temporal Comparison of Microblog Trending Topics on Natural Disasters
Gang Li,Sijing Chen(),Jin Mao,Yansong Gu
Center for Studies of Information Resources, Wuhan University, Wuhan 430072, China
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Abstract  

[Objective] This paper analyzes the trending topics generated by users from disaster-affected areas and those by users from non-disaster areas at different stages of a disaster, aiming to discover the evolution of topics. [Methods] Firstly, we used geo-tags and users’ profiles to decide their locations. Then, we proposed a framework based on topic-word co-occurrence and community detection to identify trending topics, calculate topic strength and analyze topic evolution. Thirdly, we used alluvial diagram to visualize the evolution of these topics. Finally, based on situational awareness theory, we compared the macro and micro-evolutionary patterns of trending topics between the two user groups. [Results] During a disaster, the affected users mainly published tweets on physical environment, while the non-affected users tended to express their emotions on Twitter. After a disaster, the affected users mainly published emotional topics, while the non-affected users posted tweets on built environment and physical environment. [Limitations] Deciding a user’s geographic location based on his/her profile might not be reliable. More research is needed to optimize the measurement of topic strength. [Conclusions] The affected and non-affected users show different topic preferences at various stages of a disaster, which helps the related agencies identify peoples in need more effectively.

Key wordsSpatio-Temporal Analysis      Social Media      Emergency      Topic Detection      Topic Evolution      Situational Awareness     
Received: 05 March 2019      Published: 18 December 2019
ZTFLH:  G203  
Corresponding Authors: Sijing Chen     E-mail: csj16912@163.com

Cite this article:

Gang Li,Sijing Chen,Jin Mao,Yansong Gu. Spatio-Temporal Comparison of Microblog Trending Topics on Natural Disasters. Data Analysis and Knowledge Discovery, 2019, 3(11): 1-15.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2019.0249     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2019/V3/I11/1

地区 时间阶段 总话题数 总微博覆盖率 热点话题 话题强度 微博数
受灾地区 灾难爆发前 7 50.17% 准备与提醒 0.2294 2 604
灾害发展 0.2106 2 108
祈福 0.1719 1 833
物资准备 0.1179 1 312
降雨 0.0954 1 135
疏散 0.0911 1 058
影响(生活) 0.0837 978
灾难爆发时 12 51.76% 洪水准备 0.2170 18 512
呼吁加入志愿者 0.1744 14 976
降雨 0.1261 10 767
祈福 0.0958 7 999
灾害发展 0.0799 6 680
救济 0.0568 4 791
为受害者募捐 0.0510 4 434
救援 0.0488 4 289
感谢 0.0485 4 319
提醒 0.0359 3 289
避难所 0.0333 2 903
影响(生活) 0.0324 2 950
灾后一周 7 54.17% 帮助 0.3526 5 641
救济 0.2199 3 208
感谢 0.1290 2 176
房屋 0.0904 1 555
总统去德州 0.0878 1 539
厄玛飓风 0.0615 1 043
洪水 0.0588 1 031
灾后第二第三周 8 56.22% 恢复与重建工作 0.2410 2 057
帮助受害者 0.2303 1 992
厄玛飓风 0.1246 1 109
感谢帮助 0.1226 1 115
救济 0.1117 950
回家 0.0625 569
恢复(生活) 0.0615 567
好人好事 0.0457 406
非受灾地区 灾难爆发前 7 56.50% 警告与提醒 0.2319 3 892
灾害发展 0.2084 3 446
政府举措 0.1643 3 041
飓风登陆预测 0.1501 2 583
祈福 0.1497 2 406
海水水温 0.0524 990
疏散 0.0433 820
灾难爆发时 8 54.22% 救援 0.1938 32 205
帮助 0.1815 27 881
对亲人朋友的关心 0.1317 22 658
救济 0.1054 16 721
总统应对自然灾害 0.1044 18 328
避难所 0.0998 17 344
祈福 0.0985 15 208
灾害发展 0.0850 13 353
灾后一周 9 55.96% 影响 0.2226 9 630
救济 0.2099 8 430
受害者 0.2011 8 777
厄玛飓风 0.1338 5 258
帮助 0.0972 4 409
对总统的不满 0.0449 1 560
祈福 0.0442 1 816
感谢 0.0325 1 485
洪水危机管理标准 0.0138 212
灾后第二第三周 7 64.02% 厄玛飓风 0.3860 10 237
帮助受害者 0.1814 4 516
救济 0.1484 3 725
气候变化 0.1360 3 371
受灾地区现状 0.1117 3 136
对一系列灾难的震惊 0.0270 391
感谢 0.0095 219
地区类型 时间阶段 信息类型
社会环境 建设环境 物理环境 非态势感知
受灾地区 灾难爆发前 准备与提醒, 物资准备, 疏散 影响(生活) 灾害发展, 降雨 祈福
灾难爆发时 洪水准备, 呼吁加入志愿者, 救济,
为受害者募捐, 救援, 提醒, 避难所
影响(生活) 降雨, 灾害发展 祈福, 感谢
灾后一周 帮助, 救济, 总统去德州 房屋 厄玛飓风, 洪水 感谢
灾后第二第三周 恢复与重建工作, 帮助受害者, 救济,
回家
恢复(生活) 厄玛飓风 感谢帮助, 好人好事
非受灾地区 灾难爆发前 警告与提醒, 政府举措, 飓风登陆预
测, 疏散
灾害发展 祈福, 海水水温
灾难爆发时 救援, 帮助, 救济, 总统应对自然灾
害, 避难所
灾害发展 对亲人朋友的关心, 祈福
灾后一周 救济, 受害者, 帮助, 洪水危机管理
标准
影响 厄玛飓风 对总统的不满, 祈福, 感谢
灾后第二第三周 帮助受害者, 救济 受灾地区现状 厄玛飓风, 气候变化 对一系列灾难的震惊, 感谢
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