Skip to main content

PNNL

  • About
  • News & Media
  • Careers
  • Events
  • Research
    • Scientific Discovery
      • Biology
        • Ecosystem Science
        • Human Health
          • Cancer Biology
        • Integrative Omics
          • Advanced Metabolomics
          • Instrument Development & Deployment
          • Nanoscale Proteomics
        • Microbiome Science
          • Human Microbiome
          • Soil Microbiome
      • Chemistry
        • Catalysis
        • Chemical Physics
      • Computational Research
        • Artificial Intelligence
        • Computational Mathematics & Statistics
        • Graph and Data Analytics
        • High-Performance Computing
        • Software Engineering
        • Visual Analytics
      • Earth & Coastal Sciences
        • Atmospheric Science
        • Coastal Science
        • Ecosystem Science
        • Plant Science
        • Subsurface Science
        • Terrestrial Aquatics
      • Materials Science
        • Solid Phase Processing
        • Science of Interfaces
        • Precision Materials by Design
        • Materials in Extreme Environments
      • Nuclear & Particle Physics
        • Dark Matter
        • Neutrino Physics
        • Flavor Physics
        • Fusion Energy Science
      • Quantum Information Science
    • Energy Resiliency
      • Electric Grid Modernization
        • Distribution
        • Transmission
        • Grid Architecture
        • Grid Analytics
          • AGM Program
        • Grid Cybersecurity
        • Emergency Response
      • Energy Efficiency
        • Building Technologies
          • Advanced Building Controls
          • Building-Grid Integration
          • Advanced Lighting
        • Residential Buildings
          • Energy Efficient Technology Integration
          • Home Energy Score
          • Building America Solution Center
        • Commercial Buildings
        • Federal Buildings
          • Federal Performance Optimization
          • Resilience and Security
        • Building Energy Codes
        • Appliance and Equipment Standards
      • Energy Storage
        • Grid Energy Storage
        • Vehicle Energy Storage
      • Environmental Management
        • Environmental Remediation
        • Waste Processing
        • Radiation Measurement
      • Fossil Energy
        • Carbon Management
          • Carbon Capture
          • Carbon Storage
          • Carbon Utilization
        • Subsurface Energy Systems
        • Advanced Hydrocarbon Conversion
      • Nuclear Energy
        • Reactor Licensing
        • Reactor Operations
        • Fuel Cycle Research
        • Advanced Reactors
      • Renewable Energy
        • Hydropower
          • Environmental Performance of Hydropower
          • Hydropower and the Electric Grid
          • Hydropower Cybersecurity and Digitalization
          • Materials Science for Hydropower
          • Water + Hydropower Planning
        • Marine Energy
          • Environmental Monitoring for Marine Energy
          • Marine Biofouling and Corrosion
          • Marine Energy Resource Characterization
          • Testing for Marine Energy
          • The Blue Economy
        • Wind Energy
          • Distributed Wind
          • Offshore Wind
          • Uncertainty Quantification
          • Wildlife and Wind
          • Wind Data Archive and Portal
          • Wind Resource Characterization
        • Geothermal Energy
        • Solar Energy
      • Transportation
        • Vehicle Technologies
          • Emission Control
          • Energy-Efficient Mobility Systems
          • Lightweight Materials
          • Vehicle Electrification
        • Bioenergy Technologies
          • Algal Biofuels
          • Aviation Biofuels
          • Waste-to-Energy and Products
        • Hydrogen & Fuel Cells
    • National Security
      • Computing & Analytics
        • Artificial Intelligence
        • Computational Mathematics & Statistics
        • Graph and Data Analytics
        • High-Performance Computing
        • Software Engineering
        • Visual Analytics
      • Cybersecurity
        • Discovery and Insight
        • Proactive Defense
        • Trusted Systems
      • Nuclear Nonproliferation
        • Stakeholder Engagement
        • Technical Training
      • Weapons of Mass Effect
        • Explosives Detection
        • Chemical & Biological Signatures Science
        • Radiological & Nuclear Detection
    • Publications & Reports
    • S&T Capabilities
  • People
    • Inventors
    • Diversity
    • Lab Leadership
    • Lab Fellows
    • Staff Accomplishments
  • Partner with PNNL
    • Academia
      • Distinguished Graduate Research Programs
      • Internships
      • Visiting Faculty Program
      • Joint Appointments
      • Joint Institutes
      • Linus Pauling Distinguished Postdoctoral Fellowship
    • Community
      • STEM Education
        • Resources
        • STEM Ambassadors in the Classroom
      • Philanthropy
      • Volunteering
      • Economic Impact
    • Industry
      • Available Technologies
      • Industry
      • Industry Partnerships
      • Licensing & Technology Transfer
      • Entrepreneurial Leave
  • Facilities & Centers
    • All Facilities
      • Atmospheric Radiation Measurement User Facility
      • Bioproducts, Sciences, and Engineering Lab
      • Environmental Molecular Sciences Laboratory
      • Institute for Integrated Catalysis
      • Marine and Coastal Research Laboratory
      • Radiochemical Processing Laboratory
      • Shallow Underground Laboratory
      • Systems Engineering Building
      • Wasteform Development Laboratory
      • PNNL Seattle Research Center
      • PNNL 5G Innovation Studio

Breadcrumb

  1. Research
  2. Scientific Discovery
  3. Computational Research
  4. Graph and Data Analytics

Graph &
Data Analytics

Bringing understanding
to large, disparate data

Svitlana Volkova and her team discovered that changes in Twitter users' behavior could be strong predictors of changes in their health.

Andrea Starr | Pacific Northwest National Laboratory

  • Biology
  • Chemistry
  • Computational Research
    • Artificial Intelligence
    • Computational Mathematics & Statistics
    • Graph and Data Analytics
    • High-Performance Computing
    • Software Engineering
    • Visual Analytics
  • Earth & Coastal Sciences
  • Materials Science
  • Nuclear & Particle Physics
  • Quantum Information Science
  • News & Updates
  • Publications
  • Projects

Data essential for examining hard scientific and national security questions are often large, messy, or incomplete. Frequently, these data exist in networks or graphs that grow more complex as the amount of data grows.

Take the energy sector, for example. Technologies continually evolve and new sources of energy generation come to fruition. These rapid changes create challenges for data integration and understanding.

Likewise, related data carried over digital networks can be nearly impossible to connect. These data can be captured or conveyed with graphs, but at a very high level.

Our researchers are pioneering data and graph analytics using novel visualization and machine learning techniques to tease out data connections.

Data integration across devices and networks

PNNL researchers developed the VOLTTRONTM software platform to integrate smart device operations and communications over the power grid. The platform’s analytical environment seamlessly and securely connects a wide range of data and devices to make automatic decisions based on user needs and preferences. When used in building systems to manage energy consumption, VOLTTRON improves overall system performance and creates a more flexible and reliable grid.

Our researchers are also developing scalable graph platforms to understand network structures and extract actionable information embedded in diverse data sets. Ripples, a first-of-its-kind network analysis tool, can solve complex graph analytics problems in less than a minute on a high-performance computing platform. Grappolo can perform blazing fast graph clustering (community detection) on graphs with millions to billions of nodes. Vite, a distributed version of Grappolo, can scale computation on leadership-class machines for graphs with tens to hundreds of billions of edges, with demonstrated performance on modern multi-GPU systems.

We are also developing tools to help analysts understand and interpret data contained in complex graphs. While typical graphs model binary relationships, hypergraphs model multi-way relationships, exposing the interconnectedness of the data without artificially generating two-way relationships. HyperNetX(HNX) is an open-source Python library developed to analyze and visualize multi-way relationships modeled as hypergraphs. These relationships can be found in cyber data, protein pathways, bibliographic networks, and social media where interactions involve multiple entities simultaneously.

PNNL has a deep understanding of the mathematical principles that govern the digital landscape. Our data and graph analytics technologies have been deployed in domains including threat detection for national security, cyber analytics, scientific computing, intellectual property portfolio analysis, energy grid reliability, environmental safety, training, and law enforcement. Further, in collaboration with joint institutes such as the University of Washington, our researchers discovering innovative solutions to complex analytic challenges.

Recent News

APRIL 21, 2021
Staff Accomplishment

PNNL Data Scientists to Publish Research on Online Information Spread

Read
Image representing online information spread
MARCH 9, 2021
Staff Accomplishment

Henry Accepts Joint Appointment with Texas A&M University

Read
Michael Henry PNNL
FEBRUARY 25, 2021
Staff Accomplishment

PNNL Papers on Machine Learning Accepted to AAAI-21

Read
PNNL data scientists Ted Fujimoto and Henry Kvinge
SEE MORE RELATED NEWS

Related Divisions

Advanced Computing, Mathematics, and Data

Related Links

Careers

PNNL

  • Get in Touch
    • Contact
    • Careers
    • Doing Business
    • Environmental Reports
    • Security & Privacy
  • Research
    • Scientific Discovery
    • Energy Resiliency
    • National Security
Subscribe to PNNL News
Department of Energy Logo Battelle Logo
Pacific Northwest National Laboratory (PNNL) is managed and operated by Battelle for the Department of Energy
  • YouTube
  • Facebook
  • Twitter
  • Instagram
  • LinkedIn