Explanation:
Data-driven network effects arise when additional users generate data that improve the quality of the service (e.g., through better recommendations or predictions), which in turn attracts more users, creating a self-reinforcing cycle.
Explanation:
A Pareto efficient allocation is one where it is impossible to make any individual better off without making at least one individual worse off.
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