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Human interactions create social networks forming the backbone of societies.Individuals adjust their opinions by exchanging information through socialinteractions. Two recurrent questions are whether social structures promoteopinion polarisation or consensus in societies and whether polarisation can beavoided, particularly on social media. In this paper, we hypothesise that notonly network structure but also the timings of social interactions regulate theemergence of opinion clusters. We devise a temporal version of the Deffuantopinion model where pairwise interactions follow temporal patterns and showthat burstiness alone is sufficient to refrain from consensus and polarisationby promoting the reinforcement of local opinions. Individuals self-organiseinto a multi-partisan society due to network clustering, but the diversity ofopinion clusters further increases with burstiness, particularly whenindividuals have low tolerance and prefer to adjust to similar peers. Theemergent opinion landscape is well-balanced regarding clusters' size, with asmall fraction of individuals converging to extreme opinions. We thus arguethat polarisation is more likely to emerge in social media than offline socialnetworks because of the relatively low social clustering observed online.Counter-intuitively, strengthening online social networks by increasing socialredundancy may be a venue to reduce polarisation and promote opinion diversity.

Fast but multi-partisan: Bursts of communication increase opinion diversity in the temporal Deffuant model