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From families to nations, what binds individuals in social groups is thedegree to which they share beliefs, norms, and memories. While local clustersof communicating individuals can sustain shared memories and norms, communitiescharacterized by isolated cliques are susceptible to information fragmentationand polarization dynamics. We employ experimental manipulations in lab-createdcommunities to investigate how the temporal dynamics of conversationalinteractions can shape the formation of collective memories. We show that whenindividuals that bridge cliques (i.e., weak ties) communicate early on in aseries of networked interactions, the community reaches higher mnemonicconvergence compared to when individuals first interact within cliques (i.e.,strong ties). This, we find, is due to the tradeoffs between informationdiversity and accumulated overlap over time. By using data calibrated models,we extend these findings to a larger and more complex network structure. Ourapproach offers a framework to analyze and design interventions incommunication networks that optimize shared remembering and diminish thelikelihood of information bubbles and polarization.

The Ties that Bind Networks: Weak Ties Facilitate the Emergence of Collective Memories