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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.
Package details |
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Author | Laurence Brandenberger |
Maintainer | Laurence Brandenberger <lbrandenberger@ethz.ch> |
License | GPL (>= 2) |
Version | 1.3.1 |
Package repository | View on CRAN |
Installation |
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