讲座题目：Data Science: From small to big---Exploring the human behavior and response in data science

讲座人：王震，西北工业大学教授

讲座时间：2017年12月1日上午10点

地点：长安校区 文段楼三段5层522学术讨论室

主办单位： bevitor伟德官网大数据研究团队

讲座内容：

The basic characteristics of extreme events are their infrequence and potential damages to the human–nature system. It is difficult for people to design comprehensive policies for dealing with such events due to time pressure and their limit knowledge about rare and uncertain sequential impacts. Recently, online media provides digital source of individual and public information to study collective human responses to extreme events, which can help us reduce the damages of an extreme event and improve the efficiency of disaster relief. More specifically, there are different emotional responses (e.g., anxiety and anger) to an event and its subevents during a whole event, which can be reflected in the contents of public news and social media to a certain degree. Therefore, an online computational method for extracting these contents can help us better understand human emotional states at different stages of an event, reveal underlying reasons, and improve the efficiency of event relief. Here, we first employ tweets and reports extracted from Twitter and ReliefWeb for text analysis on three distinct events. Then, we detect textual contents by sentiment lexicon to find out human emotional responses over time. Moreover, a clustering-based method is proposed to detect emotional responses to a certain episode during events based on the co-occurrences of words as used in tweets and/or articles. Taking Japanese earthquake in 2011, Haiti earthquake in 2010 and Swine influenza A (H1N1) pandemic in 2009 as case studies, we reveal the underlying reasons of distinct patterns of human emotional responses to the whole events and their episodes.

讲座人简介：

王震，西北工业大学教授，陕西省网信办专家组成员，科技部和工信部项目评委专家。同时，他也是日本学术振兴会(JSPS)特约专家，日本北海道大学、加拿大滑铁卢大学、西班牙萨拉戈萨大学和德国波茨坦气候研究所的客座研究员，斯洛文尼亚马里博尔大学荣誉教授, IEEE、AMC、APS等会员。其主要研究方向包括网络科学、非线性动力学、博弈论、大数据等复杂性科学方面的研究。目前，已在Phys. Rep. (IF>20)、PNAS (IF>9)、Science Advances(Science子刊)、Phys. Life Rev.(IF>13)、New J. Phys.、Phys. Rev. E、IEEE T-CYB、IEEE T-CBB等国际知名SCI期刊发表论文100余篇(其中ESI高被引论文30余篇，Hot论文10余篇)，作为唯一中国学者参与多名欧洲院士领导的网络丛书《Interconnected Networks》，引用近6000次，H因子39，单篇引用过百论文10余篇。