#!/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__ = ["hits"]
[docs]@project_to_simple
@not_compatible_for("arrow_property", "dynamic_property")
def hits(graph, tolerance=0.01, max_round=100, normalized=True):
"""Compute HITS on `graph`.
Hyperlink-Induced Topic Search (HITS; also known as hubs and authorities)
is a link analysis algorithm that rates Web pages. See more here:
https://en.wikipedia.org/wiki/HITS_algorithm
Args:
graph (:class:`graphscope.Graph`): A simple graph.
tolerance (float, optional): Defaults to 0.01.
max_round (int, optional): Defaults to 100.
normalized (bool, optional): Whether to normalize the result to 0-1. Defaults to True.
Returns:
:class:`graphscope.framework.context.VertexPropertyContextDAGNode`:
A context with each vertex assigned with the HITS value, 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.hits(pg, tolerance=0.01, max_round=10, normalized=True)
>>> sess.close()
"""
tolerance = float(tolerance)
max_round = int(max_round)
normalized = bool(normalized)
return AppAssets(algo="hits", context="vertex_property")(
graph, tolerance, max_round, normalized
)