Fair Influence Maximization in Hypergraphs

This feed bundles multiple research papers (June 2026) across social networks, topological data analysis, optimization, and model adoption. Notable items: (1) “Fair Influence Maximization in Hypergraphs” proposes FIMH, a heuristic for selecting seeds in hypergraph spreading to reduce cross-community disparity—relevant to targeted influence and disinformation mitigation; (2) “Games Mapper” introduces a Mapper-based tool for genre topology on Steam (analytic tool with low security risk); (3) “AGORA” studies how structured deliberation and governance gates reduce participation-bias in transit-pl​