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Being an Influencer is Hard: The Complexity of Influence Maximization in Temporal Graphs with a Fixed Source.

, , , and . AAMAS, page 2222-2230. ACM, (2023)

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Being an influencer is hard: The complexity of influence maximization in temporal graphs with a fixed source., , , , and . Inf. Comput., (2024)Being an Influencer is Hard: The Complexity of Influence Maximization in Temporal Graphs with a Fixed Source., , , , and . CoRR, (2023)Minimizing Reachability Times on Temporal Graphs via Shifting Labels., , and . IJCAI, page 5333-5340. ijcai.org, (2023)Minimizing Reachability Times on Temporal Graphs via Shifting Labels., , and . CoRR, (2021)Towards Linear Spanners in All Temporal Cliques., , , , , , , , , and . CoRR, (2024)The Complexity of Growing a Graph., , , , and . ALGOSENSORS, volume 13707 of Lecture Notes in Computer Science, page 123-137. Springer, (2022)Being an Influencer is Hard: The Complexity of Influence Maximization in Temporal Graphs with a Fixed Source., , , and . AAMAS, page 2222-2230. ACM, (2023)Distributed computation and reconfiguration in actively dynamic networks., , and . Distributed Comput., 35 (2): 185-206 (2022)On the transformation capability of feasible mechanisms for programmable matter., , and . J. Comput. Syst. Sci., (2019)The Complexity of Growing a Graph., , , , and . CoRR, (2021)