1. Using big data analytics, large-scale historical data can be processed and analyzed so as to discover laws and patterns in historical events and trends. For example, machine learning algorithms can be used to analyze the text of a large number of historical documents to extract keywords and themes, thereby revealing the evolution and impact of historical events. Meanwhile, data mining techniques can also be utilized to mine the hidden information in historical data and discover the correlations and influences between historical events.

2. Historical research is a comprehensive discipline that requires research across multiple subject areas. When studying history with computational social science, it is recommended to cooperate with historians, sociologists, computer scientists, and other interdisciplinary **** with exploring new methods and new fields of historical research. Through interdisciplinary collaboration, the strengths of each discipline can be fully utilized to increase the depth and breadth of research.