Source code for graphscope.analytical.app.eigenvector_centrality

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2020 Alibaba Group Holding Limited. All Rights Reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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from graphscope.framework.app import AppAssets
from graphscope.framework.app import not_compatible_for
from graphscope.framework.app import project_to_simple

__all__ = ["eigenvector_centrality"]


@project_to_simple
@not_compatible_for("arrow_property", "dynamic_property")
def eigenvector_centrality(graph, tolerance=1e-06, max_round=100, weight=None):
    """Compute the eigenvector centrality for the `graph`.
    See more about eigenvector centrality here:
    https://networkx.org/documentation/networkx-1.10/reference/generated/networkx.algorithms.centrality.eigenvector_centrality.html

    Args:
        graph (:class:`graphscope.Graph`): A simple graph.
        tolerance (float, optional): Defaults to 1e-06.
        max_round (int, optional): Defaults to 100.
        weight (str, optional): The edge data key corresponding to the edge weight.
            Note that property under multiple labels should have the consistent index.
            Defaults to None.

    Returns:
        :class:`graphscope.framework.context.VertexDataContextDAGNode`:
            A context with each vertex assigned with a gv-centrality, evaluated in eager mode.

    Examples:

    .. code:: python

        >>> import graphscope
        >>> from graphscope.dataset import load_p2p_network
        >>> sess = graphscope.session(cluster_type="hosts", mode="eager")
        >>> g = load_p2p_network(sess)
        >>> # project to a simple graph (if needed)
        >>> pg = g.project(vertices={"host": ["id"]}, edges={"connect": ["dist"]})
        >>> c = graphscope.eigenvector_centrality(pg, tolerance=1e-06, max_round=10)
        >>> sess.close()
    """
    tolerance = float(tolerance)
    max_round = int(max_round)
    return AppAssets(algo="eigenvector_centrality", context="vertex_data")(
        graph, tolerance, max_round
    )