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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 2 months ago 26 main
conda 295.1 kB | linux-64/r-rem-1.3.1-r42h884c59f_0.tar.bz2  2 years and 9 months ago 54 main
conda 306.9 kB | win-64/r-rem-1.3.1-r36h796a38f_0.tar.bz2  5 years and 23 days ago 86 main
conda 290.1 kB | osx-64/r-rem-1.3.1-r36h466af19_0.tar.bz2  5 years and 23 days ago 15 main
conda 291.5 kB | linux-64/r-rem-1.3.1-r36h29659fb_0.tar.bz2  5 years and 23 days ago 57 main

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