Calculate endogenous network effects in event sequences and fit relational event models (REM): Using network event sequences (where each tie between a sender and a target in a network is time-stamped), REMs can measure how networks form and evolve over time. Endogenous patterns such as popularity effects, inertia, similarities, cycles or triads can be calculated and analyzed over time.
|Maintainer||Laurence Brandenberger <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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