Revolutionize Your Approach to Understanding the Social Media Landscape

Provenant™ is a novel platform for analyzing the landscape of millions of publicly available social media messages and understanding behaviors that shape online discourse. Provenant can reveal, aggregate and summarize population-scale behavioral patterns, trending themes, anomalies and external events.

Heatmap of social media message volume across North America and Western Europe

Population-Scale Visual Analytics

Make sense of social media patterns through global-scale geospatial and temporal views of population activity correlated with key events.

Shape of Influence

Highlight and track propagation and amplification of messages across the social media landscape to understand how they flare up and flame out.

Plot of viral message repost counts, with steep initial spikes and long engagement trails

Pattern graph of engagement over time ordered by when users first joined the conversation

Characterize Engagement

Analyze the mountain of social media community responses to understand the effects of messaging and other events.

Backed by Research

Backed by significant scientific research investment, the Provenant team works with research partners and stakeholders to advance the ability to understand the social impact of social media.

Cross-Channel Analysis

Find patterns, narratives, and influence operations that span diverse big data streams. Identify coordinated activity across multiple social media channels.

Scalable and Extensible

A modular data collection and processing pipeline supports integration of new analytics or messaging platforms with limited operational impact.

Rich Visual Analytics

Make sense of social media patterns through global-to-local scale geospatial and temporal views of population activity correlated with key events.

Ongoing Research

People working inside an immersive, 3D data analytics display

Messaging Campaign Impact Assessment

Qualitatively and quantitatively analyze messaging campaign efficacy through a combination of automated and manual comparisons of engaged and general populations.

Messaging Trend Analysis

Identify impactful messaging trends, trace their origins, and detect correlations.

Influencer Analysis

Discover key influencers in a target audience. Detect key aspects of influencer messaging tactics including bot and amplifier networks.

Propagation Network

Discover and analyze online community structures and how messages spread within them.

Publications

TopicOnTiles with a grid of geo-spatial map tiles, topic keywords, and anomaly highlights

TopicOnTiles: Title-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media

Detecting anomalous events of a particular area in a timely manner is an important task. Geo-tagged social media data are useful resources, but the abundance of everyday language in them makes this task still challenging. To address such challenges, we present TopicOnTiles, a visual analytics system that can reveal the information relevant to anomalous events in a multi-level tile-based map interface by using social media data. To this end, we adopt and improve a recently proposed topic modeling method that can extract spatio-temporally exclusive topics corresponding to a particular region and a time point.

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Map of patent clusters with word clouds showing the top technological trends they share

Graph Mapping: Multi-Scale Community Visualization of Massive Graph Data

Graph visualizations increase the perception of entity relationships in a network. However, as graph size and density increases, readability rapidly diminishes. In this cover article for the July 2017 edition of the Information Visualization journal, we present an end-to-end, tile-based visual analytic approach called graph mapping that utilizes cluster computing to turn large-scale graph (node-link) data into interactive visualizations in modern web browsers.

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Map of lower Manhattan showing taxi volume and circles for social media query results

Global to Local Pattern of Life Analysis with Tile-Based Visual Analytics

In this paper, we present in-progress work on applications of tile-based visual analytics (TBVA) to population pattern of life analysis and geo-temporal event detection. TBVA uses multiresolution data tiling, analytics and layered high-fidelity visualization to enable interactive multi-scale analysis of billions of records in modern web browsers through techniques made familiar by online map services.

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Contact Us to Learn More

info@provenant.ai

Uncharted Software

Makers of Provenant™

Uncharted® is a leading provider of innovative visual analytics software solutions for Fortune 500 companies, federal government agencies, and third party software firms. Makers of TellFinder® and other products, we believe that better visual expressions and more intelligent human-machine workflows can have a profound impact on people’s ability to discover, understand, and create value from insights in large amounts of complex data.