Shen Shi, Cheng Changxiu, Yang Jing, Yang Shanli
Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing, China.
State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China.
PLoS One. 2018 Jan 19;13(1):e0191250. doi: 10.1371/journal.pone.0191250. eCollection 2018.
This study visualized and analyzed the developing trends and hot topics in natural disaster research. 19694 natural disaster-related articles (January 1900 to June 2015) are indexed in the Web of Science database. The first step in this study is using complex networks to visualize and analyze these articles. CiteSpace and Gephi were employed to generate a countries collaboration network and a disciplines collaboration network, and then attached hot topics to countries and disciplines, respectively. The results show that USA, China, and Italy are the three major contributors to natural disaster research. "Prediction model", "social vulnerability", and "landslide inventory map" are three hot topics in recent years. They have attracted attention not only from large countries like China but also from small countries like Panama and Turkey. Comparing two hybrid networks provides details of natural disaster research. Scientists from USA and China use image data to research earthquakes. Indonesia and Germany collaboratively study tsunamis in the Indian Ocean. However, Indonesian studies focus on modeling and simulations, while German research focuses on early warning technology. This study also introduces an activity index (AI) and an attractive index (AAI) to generate time evolution trajectories of some major countries from 2000 to 2013 and evaluate their trends and performance. Four patterns of evolution are visible during this 14-year period. China and India show steadily rising contributions and impacts, USA and England show relatively decreasing research efforts and impacts, Japan and Australia show fluctuating activities and stable attraction, and Spain and Germany show fluctuating activities and increasing impacts.
本研究可视化并分析了自然灾害研究的发展趋势和热点话题。科学网数据库索引了19694篇与自然灾害相关的文章（1900年1月至2015年6月）。本研究的第一步是使用复杂网络对这些文章进行可视化和分析。使用CiteSpace和Gephi生成国家合作网络和学科合作网络，然后分别将热点话题与国家和学科相关联。结果表明，美国、中国和意大利是自然灾害研究的三大贡献国。“预测模型”“社会脆弱性”和“滑坡清单图”是近年来的三个热点话题。它们不仅吸引了中国这样的大国的关注，也吸引了巴拿马和土耳其等小国的关注。比较两个混合网络提供了自然灾害研究的详细信息。美国和中国的科学家使用图像数据研究地震。印度尼西亚和德国合作研究印度洋海啸。然而，印度尼西亚的研究侧重于建模和模拟，而德国的研究侧重于预警技术。本研究还引入了活动指数（AI）和吸引力指数（AAI），以生成2000年至2013年一些主要国家的时间演变轨迹，并评估其趋势和表现。在这14年期间可以看到四种演变模式。中国和印度的贡献和影响稳步上升，美国和英国的研究力度和影响相对下降，日本和澳大利亚的活动波动但吸引力稳定，西班牙和德国的活动波动但影响增加。
