報告題目：LMANStat: A multi-layer academic network dataset derived from statistical publications
報 告 人：潘蕊 教授 中央财經大學
報告時間：2024年5月23日 14:00-15:00
報告地點：數學樓第2報告廳
校内聯系人：朱複康 fzhu@jlu.edu.cn
報告摘要：The utilization of multi-layer network structures now enables the explanation of complex systems in nature from multiple perspectives. Multi-layer academic networks capture diverse relationships among academic entities, facilitating the study of academic development and the prediction of future directions. However, there are currently few academic network datasets that simultaneously consider multi-layer academic networks; often, they only include a single layer. In this study, we provide a large-scale multi-layer academic network dataset, namely, LMANStat, which includes collaboration, co-institution, citation, co-citation, journal citation, author citation, author-paper and keyword co-occurrence networks. Furthermore, each layer of the multi-layer academic network is dynamic. Additionally, we expand the attributes of nodes, such as authors' research interests, productivity, region and institution. Supported by this dataset, it is possible to study the development and evolution of statistical disciplines from multiple perspectives. This dataset also provides fertile ground for studying complex systems with multi-layer structures.
報告人簡介：潘蕊，中央财經大學統計與伟德线上平台教授、博士生導師，中央财經大學龍馬學者青年學者。主要研究領域為網絡結構數據的統計建模、時空數據的統計分析等。在Annals of Statistics、Journal of the American Statistical Association、Journal of Business & Economic Statistics等期刊發表論文30餘篇。著有中文專著《數據思維實踐》、《網絡結構數據分析與應用》。主持國家自然科學基金項目。具有豐富的案例創作和授課經驗，曾獲得中央财經大學青年教師教學基本功比賽二等獎，首屆中國高校财經慕課聯盟“同課異構”課程思政教學競賽一等獎。
