Computational History:Challenges and Opportunities of Formal Approaches

作     者：Jürgen Jost Roberto Lalli Manfred D.Laubichler Eckehard Olbrich Jürgen Renn Guillermo Restrepo Peter F.Stadler Dirk Wintergrün 

作者机构：the Max Planck Institute for Mathematics in the SciencesLeipzig 04103Germany the Santa Fe InstituteSanta FeNM 87501USA the Max Planck Institute for the History of ScienceBerlin 14195Germany the School of Complex Adaptive Systems and the Global Biosocial Complexity InitiativeArizona State UniversityTempeAZ 85287USA the Department of Computer Science and Interdisciplinary Center for BioinformaticsLeipzig UniversityLeipzig 04109Germany 

出 版 物：《Journal of Social Computing》 (社会计算（英文）)

年 卷 期：2023年第4卷第3期

页      面：232-242页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：computational history history of science network analysis big data 

摘      要：We propose a program for a computational analysis,based on large scale datasets,of deep conceptual and formal structures,representing the mechanisms of historical transformations in different domains ranging from biological to social,cultural,and knowledge *** conceptualize such systems as consisting of complex multi-layer *** properties of such networks may explain the spreading of *** relations between the dynamics of interacting networks may help to identify *** systems may show path and context *** illustrate our approach by case studies from all those types of systems.