Source code for graphscope.analytical.app.eigenvector_centrality

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
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# Copyright 2020 Alibaba Group Holding Limited. All Rights Reserved.
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#     http://www.apache.org/licenses/LICENSE-2.0
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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"]


[docs]@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 )