Modern and Interdisciplinary Problems in Network Science: A Translational Research Perspective
暫譯: 網路科學中的現代與跨學科問題：一個轉譯研究的視角

《現代與跨學科的網路科學問題：轉譯研究的視角》涵蓋了廣泛的概念和方法，並強調跨學科的重要性。主題從分析基於網路的方法的數學特性到將其應用於各種應用領域。通過涵蓋這些廣泛的主題，本書旨在填補當代文獻在物理學、應用數學和資訊科學等學科中的空白。

Zengqiang Chen works at the Department of Automation at Nankai University, where he is currently a professor. His research interests are in complex networks, multi-agent systems, computer application systems, nonlinear dynamic control, intelligent computing and stochastic analysis.

Matthias Dehmer is a professor at University of Applied Sciences Upper Austria and UMIT - The Health and Life Sciences University. He also holds a guest professorship at Nankai University. His research interests are in graph theory, complex networks, complexity, machine big data, analytics, and information theory. In particular, he is also working on machine learning-based methods to design new data analysis methods for solving problems in manufacturing and production.

Frank Emmert-Streib is a professor at Tampere University Technology, Finland, in the Department of Signal Processing. His research interests are in the field of computational biology, data science and analytics in the development and application of methods from statistics and machine learning for the analysis of big data from genomics, finance and business.

Yongtang Shi is a professor at the Center for Combinatorics of Nankai University. His research interests are in graph theory and its applications, especially the applications of graph theory in mathematical chemistry, computer science and information theory.

陳增強目前在南開大學自動化系擔任教授。他的研究興趣包括複雜網絡、多智能體系統、計算機應用系統、非線性動態控制、智能計算和隨機分析。

馬提亞斯·德赫默是奧地利上部應用科學大學和UMIT - 健康與生命科學大學的教授。他同時在南開大學擔任客座教授。他的研究興趣包括圖論、複雜網絡、複雜性、機器大數據、分析和信息理論。特別是，他也在研究基於機器學習的方法，以設計新的數據分析方法來解決製造和生產中的問題。

弗蘭克·埃默特-斯特賴布是芬蘭坦佩雷科技大學信號處理系的教授。他的研究興趣集中在計算生物學、數據科學和分析，特別是在統計學和機器學習方法的開發和應用方面，用於分析來自基因組學、金融和商業的大數據。

施永堂是南開大學組合數學中心的教授。他的研究興趣包括圖論及其應用，特別是圖論在數學化學、計算機科學和信息理論中的應用。