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In the last years, social media has gained an unprecedented amount ofattention, playing a pivotal role in shaping the contemporary landscape ofcommunication and connection. However, Coordinated Inhautentic Behaviour (CIB),defined as orchestrated efforts by entities to deceive or mislead users abouttheir identity and intentions, has emerged as a tactic to exploit the onlinediscourse. In this study, we quantify the efficacy of CIB tactics by defining ageneral framework for evaluating the influence of a subset of nodes in adirected tree. We design two algorithms that provide optimal and greedypost-hoc placement strategies that lead to maximising the configurationinfluence. We then consider cascades from information spreading on Twitter tocompare the observed behaviour with our algorithms. The results show that,according to our model, coordinated accounts are quite inefficient in terms oftheir network influence, thus suggesting that they may play a less pivotal rolethan expected. Moreover, the causes of these poor results may be found in twoseparate aspects: a bad placement strategy and a scarcity of resources.

Post-hoc evaluation of nodes influence in information cascades: the case of coordinated accounts