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EVE星系通达度分析工具 / EVE System Accessibility Analysis Tool

English | 中文


中文

简介

这是一个用于分析EVE Online游戏中星系通达度的Python工具集。通过计算特征向量中心性和度中心性,识别星系网络中的核心星系,并支持自定义星门配置进行对比分析。

功能特点

  • 从EVE官方SDE提取星门连接信息
  • 支持安全等级筛选(默认0.45-1.0高安)
  • 自动去除孤立的小星系群
  • 计算特征向量中心性和度中心性
  • 支持自定义星门配置(添加/删除星门)
  • 生成普通版本和增强版本的对比分析
  • 按星域和星座进行统计分析

文件说明

文件名 说明
extract_stargates.py 从SDE提取星门连接信息
filter_stargates.py 筛选星门连接(安全等级+连通性)
create_adjacency_matrix.py 创建邻接矩阵
calculate_centrality.py 计算中心性指标
analyze_centrality.py 分析对比结果

使用方法

  1. 准备SDE数据

    • 下载EVE官方SDE(JSONL格式)
    • 将以下文件放入sde/文件夹:
      • mapSolarSystems.jsonl
      • mapStargates.jsonl
      • mapRegions.jsonl
      • mapConstellations.jsonl
  2. 运行分析流程

    # 步骤1: 提取星门连接
    python extract_stargates.py
    
    # 步骤2: 筛选星门
    python filter_stargates.py
    
    # 步骤3: 创建邻接矩阵
    python create_adjacency_matrix.py
    
    # 步骤4: 计算中心性
    python calculate_centrality.py
    
    # 步骤5: 分析结果
    python analyze_centrality.py
  3. 自定义星门配置

    编辑calculate_centrality.py中的配置区域:

    ADD_STARGATES = [
        ("Kassigainen", "Pakhshi"),
        ("Kemerk", "Bania"),
        ("Rayeret", "Jakri"),
        ("Mehatoor", "Akes")
    ]

输出文件

文件名 说明
stargate_connections.xlsx 原始星门连接数据
filtered_stargate_connections.xlsx 筛选后的星门连接
adjacency_matrix.xlsx 邻接矩阵
system_list.xlsx 星系列表
centrality_results_normal.xlsx 普通版本中心性结果
centrality_results_enhanced.xlsx 增强版本中心性结果
stargate_config.txt 星门配置文件
centrality_analysis_report.xlsx 分析报表

中心性指标说明

  • 特征向量中心性(Eigenvector Centrality):衡量星系在整个网络中的全局重要性。数值越高,说明该星系不仅连接多,而且连接的星系也很重要。
  • 度中心性(Degree Centrality):衡量星系的直接连接数量。数值越高,说明该星系的星门越多。

English

Introduction

A Python toolkit for analyzing system accessibility in EVE Online. By calculating eigenvector centrality and degree centrality, it identifies core systems in the network and supports custom stargate configurations for comparative analysis.

Features

  • Extract stargate connections from official EVE SDE
  • Security status filtering (default 0.45-1.0 for high-sec)
  • Automatic removal of isolated small system clusters
  • Calculate eigenvector centrality and degree centrality
  • Support custom stargate configurations (add/remove stargates)
  • Generate comparative analysis between normal and enhanced versions
  • Statistical analysis by region and constellation

File Description

File Description
extract_stargates.py Extract stargate connections from SDE
filter_stargates.py Filter stargate connections (security + connectivity)
create_adjacency_matrix.py Create adjacency matrix
calculate_centrality.py Calculate centrality metrics
analyze_centrality.py Analyze and compare results

Usage

  1. Prepare SDE Data

    • Download EVE official SDE (JSONL format)
    • Place the following files in sde/ folder:
      • mapSolarSystems.jsonl
      • mapStargates.jsonl
      • mapRegions.jsonl
      • mapConstellations.jsonl
  2. Run Analysis Pipeline

    # Step 1: Extract stargate connections
    python extract_stargates.py
    
    # Step 2: Filter stargates
    python filter_stargates.py
    
    # Step 3: Create adjacency matrix
    python create_adjacency_matrix.py
    
    # Step 4: Calculate centrality
    python calculate_centrality.py
    
    # Step 5: Analyze results
    python analyze_centrality.py
  3. Custom Stargate Configuration

    Edit the configuration section in calculate_centrality.py:

    ADD_STARGATES = [
        ("Kassigainen", "Pakhshi"),
        ("Kemerk", "Bania"),
        ("Rayeret", "Jakri"),
        ("Mehatoor", "Akes")
    ]

Output Files

File Description
stargate_connections.xlsx Raw stargate connection data
filtered_stargate_connections.xlsx Filtered stargate connections
adjacency_matrix.xlsx Adjacency matrix
system_list.xlsx System list
centrality_results_normal.xlsx Normal version centrality results
centrality_results_enhanced.xlsx Enhanced version centrality results
stargate_config.txt Stargate configuration file
centrality_analysis_report.xlsx Analysis report

Centrality Metrics

  • Eigenvector Centrality: Measures the global importance of a system in the network. Higher values indicate the system is not only well-connected but also connected to other important systems.
  • Degree Centrality: Measures the number of direct connections. Higher values indicate more stargates in the system.

Dependencies / 依赖库

See requirements.txt for required Python packages.

License / 许可证

MIT License

Author / 作者

Vardal in EVE online (Elwina)

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