Coalitions
In Data Science, coalitions refer to the formation of groups or alliances between different entities, such as individuals, organizations, or machines, to achieve a common goal. These entities can be represented as nodes in a network, and the connections between them as edges. Coalitions can be formed through various mechanisms, such as negotiation, collaboration, or competition, and can be influenced by factors such as trust, reputation, and incentives. In the context of machine learning, coalitions can be used to improve the performance of models by combining the predictions of multiple models or ensembles. Coalitions can also be used in social network analysis to identify influential nodes or communities, and in game theory to study strategic interactions between players.
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