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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.

Type Size Name Uploaded Downloads Labels
conda 293.7 kB | linux-64/r-rem-1.3.1-r43h884c59f_0.tar.bz2  1 year and 8 months ago 37 main
conda 295.1 kB | linux-64/r-rem-1.3.1-r42h884c59f_0.tar.bz2  3 years and 3 months ago 64 main
conda 306.9 kB | win-64/r-rem-1.3.1-r36h796a38f_0.tar.bz2  5 years and 6 months ago 93 main
conda 290.1 kB | osx-64/r-rem-1.3.1-r36h466af19_0.tar.bz2  5 years and 6 months ago 22 main
conda 291.5 kB | linux-64/r-rem-1.3.1-r36h29659fb_0.tar.bz2  5 years and 6 months ago 67 main

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