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Segregation is the separation of social groups in the physical or in theonline world. Segregation discovery consists of finding contexts ofsegregation. In the modern digital society, discovering segregation ischallenging, due to the large amount and the variety of social data. We presenta tool in support of segregation discovery from relational and graph data. TheSCube system builds on attributed graph clustering and frequent itemset mining.It offers to the analyst a multi-dimensional segregation data cube forexploratory data analysis. The demonstration first guides the audience throughthe relevant social science concepts. Then, it focuses on scenarios around casestudies of gender occupational segregation. Two real and large datasets aboutthe boards of directors of Italian and Estonian companies will be explored insearch of segregation contexts. The architecture of the SCube system and itscomputational efficiency challenges and solutions are discussed.

SCube: A Tool for Segregation Discovery