netfog 0.2.0

Python Graph Library

NetFog

[!CAUTION] Work in Progress: This library is in its early stages of development (Alpha).

• Unstable API: Functions and class structures may change significantly between versions.
• Bugs Expected: You might encounter unexpected behavior. Please feel free to open an issue!

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Overview

NetFog is a library for creating and manipulating graphs. Currently supports / planned features:

• Directed and undirected graphs
• Weighted edges
• Metrics
• Algorithms like BFS, DFS, Dijkstra
• Graph visualization
• Simulations

This library is designed to be lightweight, fast, and easy to use.

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Installation

You can install NetFog directly from PyPI using pip:

pip install netfog

Quick Start

from netfog import Graph, Node

# Creates the graph object
g = Graph()

# Add nodes
g.add_node("A")
g.add_node("B")

# Add a connection (edge or arc)
# Here we use the label of the nodes for easier manipulation
g.create_connection("A", "B", weight=10, directed=False)

# Check all connections
print(g.get_connections())

Bibliometric Networks via OpenAlex

from netfog import Graph, OpenAlexGraphType

# 1. Grafo de coautoria baseado em um termo de busca
grafo_coautoria = Graph.from_openalex(
    api_key="SUA_CHAVE_API_AQUI",
    graph_type=OpenAlexGraphType.Coauthorship,
    author="Jesus Mena-Chalco",
    limit=100
)

# 2. Grafo de coocorrência de palavras-chave (intensidade mínima: 3)
grafo_coocorrencia = Graph.from_openalex(
    api_key="SUA_CHAVE_API_AQUI",
    graph_type=OpenAlexGraphType.KeywordCooccurrence,
    keyword="Bibliometrics",
    limit=100,
    min_weight=3
)

# 3. Grafo de cocitação de documentos baseado em um autor específico
grafo_cocitacao_documentos = Graph.from_openalex(
    api_key="SUA_CHAVE_API_AQUI",
    graph_type=OpenAlexGraphType.WorkCocitation,
    search="Bibliometrics",
    limit=100
)

# 4. Grafo de cocitação de autores baseado em um autor específico
grafo_cocitacao_autores = Graph.from_openalex(
    api_key="SUA_CHAVE_API_AQUI",
    graph_type=OpenAlexGraphType.AuthorCocitation,
    search="Bibliometrics",
    limit=100
)

For full documentation, see docs