Nodiux
Mapping the social graph
Discover hidden patterns in Bluesky conversations, identify most influential users and most discussed topics
Visual network mapping
We believe that networks reveal the hidden patterns behind digital interactions. Nodiux offers a fast, visual, and intuitive way to map relationships, detect communities, and uncover influence dynamics across social platforms.
Built for Social Network Analysis & Digital Humanities
Effortlessly turn online conversations into interactive network graphs. Detect mentions, co-occurrences, and connections between users, hashtags, or topics.
No setup, instant results
Upload your dataset and get instant visual insights. Nodiux handles everything — from parsing social data to calculating centrality metrics, modularity classes, and more.
Unlock the power of Social Network Analysis
Networks reveal the hidden patterns behind digital interactions. Nodiux brings the power of Social Network Analysis to your fingertips, offering a fast, visual, and intuitive way to map relationships, detect communities, and uncover influence dynamics across social platforms.
Mentions networks
It's very easy to find most influential and most active users within online conversation communities.
Hashtags networks
Map hashtags co-presence and identify most recurring topics and thematic clusters.
Users mentions network
Unveil the relational graph behind any users and discover how their interactions shape the network.
About us
We're passionate about Social Network Analysis and Digital Humanities. Nodiux is designed to help researchers, analysts, and educators explore the structures behind online conversations, communities, and digital narratives.
Nodiux is currently in closed beta. Drop your email to jump in and have a try!
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Introducing Nodiux: a practical tool for network exploration
Since its public launch, Bluesky has attracted millions of users, particularly in moments of turbulence on other platforms like X (formerly Twitter).Bluesky presents a unique opportunity for researchers. ìt’s a rare chance to observe a social network from its formative phase.
How it works
Nodiux is designed to make Bluesky data exploration fast, accessible, and insightful — even for those with limited technical skills. The workflow begins with a simple search based on a hashtag or a username. This triggers the collection of public posts that match the query, typically over the past few days or weeks (depending on availability via the API).Once a search is completed, it appears in the dashboard — your personal hub where you can revisit or explore the results in detail.
Post timeline
By clicking on a completed search, you can access a set of detailed statistics. First, a time series chart displays the volume of posts over time for your search term, along with a list of the individual posts—both available for download in CSV and XLSX formats.
Mentions Network
This is one of Nodiux’s core visualizations: a directed graph where nodes represent users, and edges represent mentions (i.e., user A mentioned user B in a post).
Node size reflects the number of mentions received (in-degree)
Edge thickness reflects the frequency of interactions
Different colors are used to indicate distinct subcommunities within the graph.This network helps identify influencers, conversation hubs, and bridges within the discourse.
Hashtags Network
The second network representation maps how hashtags appear together in the same posts. Nodes are the individual hashtags and edges represents the co-occurrence frequency. Visual patterns reveal thematic clusters and intersections between communities or narratives.
This network is particularly useful for mapping how topics relate to each other and identifying emerging issue areas or coordinated campaigns.
Nodiux is still in beta, and we’re actively working on new features.