38 Network Analysis Tools

Summary

The website content provides a curated list of 38 network analysis tools categorized into point-and-click software, online tools, and Python libraries, with a personal endorsement for an AI service.

Abstract

The article presents a comprehensive compilation of network analysis tools, which are essential for professionals in the field of network science. The author, who has a PhD in network science, has categorized these tools into three distinct groups: point-and-click software like Cytoscape and Gephi, online tools such as Gephisto and Kumu, and Python libraries including networkx and graph-tool. This categorization is designed to guide users in selecting the appropriate tool based on their preference for offline usage, online accessibility, or programming-based analysis. The author also invites readers to share their favorite tools and announces upcoming opportunities to engage with network analytics. Additionally, the article promotes an AI service, ZAI.chat, as a cost-effective alternative to ChatGPT Plus (GPT-4), offering a special subscription rate.

Opinions

The author has a personal affinity for network science, as evidenced by their PhD in the field.
The list of tools is expected to grow, suggesting the author's commitment to keeping the resource up-to-date.
The author encourages community engagement by asking readers to comment and add their preferred network analytics tools.
There is an implied endorsement of the AI service ZAI.chat, which is recommended for its performance and cost-effectiveness compared to ChatGPT Plus (GPT-4).

As I did my PhD in network science, this field within data science is particularly dear to me. I have a few upcoming announcements on how to get on board with network analytics, so as a warm-up comes this ever-growing list of network analytics tools. Comment/add your favorite ones!

In this article, I compiled several online collections and a number of comments and software recommendations I received on social media. I did my best to group the tools into three categories that help decide whether a tool is an offline or online point-and-click software or a programming library (most likely based on Python).

𝐏𝐨𝐢𝐧𝐭-𝐚𝐧𝐝-𝐜𝐥𝐢𝐜𝐤 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞:

𝐎𝐧𝐥𝐢𝐧𝐞 𝐭𝐨𝐨𝐥𝐬:

𝐏𝐲𝐭𝐡𝐨𝐧 𝐥𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬:

Let me know what your favorite tool is in 2024!