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Social development is usually driven by the political attitudes and philosophy of several elites and coalitions in any period of time in history.To have a better understanding on the social evolutions regulation in China,I introduced a new digital humanity approach,supported by GIS and SNA technology,in a case study focused on factionalism in mid-late Northern Song Dynasty with data from CBDB.In the study,I explored the possibility of using digital humanity and spatial analysis as an alternative approach in historical study.These quantitative approaches indicate relatively objectivity derived from quantitative data-based analysis,comprehensibility brought by a variety of coverage on study cases and a new angle of view from expansion of study dimensions(from chronology only to space-time intergraded).Regional background has considered as an important cleavage influencing state-manspolitical attitude.Following the Song Dynasty political model proposed by Robert Hartwell,which considered the generalized kinships as one of the most important associations forming statesman into political groups in Song Dynasty China,and positive political support as an association connecting several political groups,I create a social elites network representing political environment in study era with 2331 individuals.Through a SNA approach,I discovered two major aggregations in network,one centered by Wang Anshi and another centered by SimaGuang,which is identical to historical records,and given a rough boundary on two social elitescoalitions in mid-late Northern Song Dynasty.Through Geo-visualization,my finding suggests a different outcome from Qians assumption that regional background an important cleavage.I find a distinct spatial distribution between reformers and conservatives among top-rank officials,but similar phenomenon is not that clear among upper-level ones.I consider this phenomenon a reflection of bureaucracy system driven by elite coalitions in Northern Song Dynasty.