In dyadic models of indirect reciprocity, the receivers' history of giving
has a significant impact on the donor's decision. When the interaction involves
more than two agents things become more complicated, and in large groups
cooperation can hardly emerge. In this work we use a Public Goods Game to
investigate whether publicly available reputation scores may support the
evolution of cooperation and whether this is affected by the kind of network
structure adopted. Moreover, if agents interact on a bipartite graph with
partner selection cooperation can thrive in large groups and in a small amount
of time.Comment: 6 pages, 10 figures. In press for Springer E
