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We use a data-driven agent-based model to study the core-periphery structureof two collaboration networks, R&D alliances between firms and co-authorshiprelations between scientists. To characterize the network embeddedness ofagents, we introduce a coreness value, obtained from a weighted $k$-coredecomposition. We study the change of these coreness values when collaborationswith newcomers or established agents are formed. Our agent-based model is ableto reproduce the empirical coreness differences of collaboration partners andto explain why we observe a change in partner selection for agents with highnetwork embeddedness.

The role of network embeddedness on the selection of collaboration partners: An agent-based model with empirical validation