Elements of Network Science: Theory, Methods and Applications in Stata, R and Python
暫譯: 網路科學要素：理論、方法與在 Stata、R 和 Python 中的應用

Dr. Antonio Zinilli is Senior Researcher at the Research Institute on Sustainable Economic Growth at the National Research Council of Italy (CNR) in Rome. He holds a PhD in Applied Social Sciences (Curriculum Quantitative Methods) from the Sapienza University of Rome. He is the coordinator of the CNR School in "Data Science: tools and methods for analysing complex Science, Technology and Innovation (STI) systems". His research, based on an interdisciplinary approach, focuses on the Science of Science, complex network models, and computational social science. He has a particular interest in the analysis and the modeling of knowledge spreading processes as well as the dynamics of R&I processes. He teaches Network Analysis and Text Mining using Python/Stata and has developed the Datanet command in Stata for Network Analysis.

安東尼奧·齊尼利博士是義大利國家研究委員會（CNR）位於羅馬的可持續經濟增長研究所的高級研究員。他擁有羅馬薩賓納大學的應用社會科學博士學位（定量方法課程）。他是CNR學校「數據科學：分析複雜科學、技術與創新（STI）系統的工具與方法」的協調者。他的研究基於跨學科的方法，專注於科學的科學、複雜網絡模型和計算社會科學。他特別關注知識傳播過程的分析與建模，以及研發（R&I）過程的動態。他教授使用Python/Stata的網絡分析和文本挖掘，並在Stata中開發了用於網絡分析的Datanet命令。