pm4py.algo.organizational_mining.network_analysis package#

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

Subpackages#

Submodules#

pm4py.algo.organizational_mining.network_analysis.algorithm module#

PM4Py – A Process Mining Library for Python

Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions Contact: info@processintelligence.solutions

class pm4py.algo.organizational_mining.network_analysis.algorithm.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Bases: Enum

DATAFRAME = <module 'pm4py.algo.organizational_mining.network_analysis.variants.dataframe' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\algo\\organizational_mining\\network_analysis\\variants\\dataframe.py'>#
pm4py.algo.organizational_mining.network_analysis.algorithm.apply(log: DataFrame | EventLog | EventStream, variant=Variants.DATAFRAME, parameters: Dict[Any, Any] | None = None) Dict[Tuple[str, str], Dict[str, Any]][source]#

Performs the network analysis on the provided event log

Parameters#

log

Event log

parameters

Version-specific parameters

Returns#

network_analysis

Edges of the network analysis (first key: edge; second key: type; value: number of occurrences)