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In history research, cohort analysis seeks to identify social structures andfigure mobilities by studying the group-based behavior of historical figures.Prior works mainly employ automatic data mining approaches, lacking effectivevisual explanation. In this paper, we present CohortVA, an interactive visualanalytic approach that enables historians to incorporate expertise and insightinto the iterative exploration process. The kernel of CohortVA is a novelidentification model that generates candidate cohorts and constructs cohortfeatures by means of pre-built knowledge graphs constructed from large-scalehistory databases. We propose a set of coordinated views to illustrateidentified cohorts and features coupled with historical events and figureprofiles. Two case studies and interviews with historians demonstrate thatCohortVA can greatly enhance the capabilities of cohort identifications, figureauthentications, and hypothesis generation.

CohortVA: A Visual Analytic System for Interactive Exploration of Cohorts based on Historical Data