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Knowledge Map

Interactive visualization of research relationships and evidence landscape

Knowledge Map

Knowledge Map provides powerful visual representations of your research evidence, revealing connections, clusters, and gaps that would be invisible in traditional formats.


Overview

Understanding the landscape of evidence is crucial for systematic reviews. Knowledge Map transforms your study data into interactive visualizations that reveal patterns and relationships.

VisualizationPurpose
Citation NetworkShow how studies cite each other
Concept MapVisualize topic relationships
Evidence MatrixDisplay study × outcome coverage
Author NetworkReveal research communities
Geographic MapShow study locations worldwide

Visualization Types

1. Citation Network

Understand the intellectual structure of your field:

ElementMeaning
NodesIndividual studies
Node SizeCitation count (larger = more cited)
EdgesCitation relationships
ClustersResearch communities/themes
ColorsStudy characteristics or time periods

Insights Revealed:

  • Foundational/seminal papers
  • Research community boundaries
  • Citation patterns over time
  • Isolated vs. central studies

2. Concept Map

Explore thematic relationships:

AI-Powered Extraction: Concepts are automatically extracted from titles, abstracts, and full texts, then organized into meaningful clusters.

Map Features:

  • Hierarchical concept organization
  • Strength of association lines
  • Temporal evolution tracking
  • Interactive exploration

3. Evidence Matrix

Classic visualization for evidence synthesis:

PopulationOutcome AOutcome BOutcome C
Children🟢 5 studies🟡 2 studies⚪ 0 studies
Adults🟢 12 studies🟢 8 studies🟡 3 studies
Elderly🟡 3 studies🟡 2 studies⚪ 0 studies

Legend: 🟢 Good coverage | 🟡 Limited coverage | ⚪ Evidence gap

4. Author Network

Map research collaborations:

  • Nodes: Individual authors
  • Edges: Co-authorship
  • Clusters: Research groups/institutions
  • Size: Publication count

5. Geographic Distribution

Visualize global research coverage:

  • Studies plotted on world map
  • Clustering by region
  • Population representation
  • Multi-site study connections

Interactive Features

Navigation & Exploration

ActionResult
Click NodeView study details
HoverSee summary tooltip
ZoomFocus on regions
PanNavigate large networks
FilterShow/hide by criteria

Filtering & Highlighting

Apply filters to focus your view:

  • By Date Range: Show studies from specific periods
  • By Study Design: Highlight RCTs, cohorts, etc.
  • By Quality: Emphasize high-quality studies
  • By Outcome: Focus on specific measures
  • By Search: Find specific studies or concepts

Layout Options

Customize how visualizations appear:

  • Force-Directed: Natural clustering layout
  • Hierarchical: Tree-like structure
  • Circular: Ring arrangement
  • Geographic: Map-based placement

Gap Analysis

Identifying Evidence Gaps

Knowledge Map automatically highlights:

  • Empty Matrix Cells: Missing population/outcome combinations
  • Sparse Network Regions: Under-researched areas
  • Isolated Nodes: Studies without connections
  • Missing Time Periods: Gaps in temporal coverage

Gap Reports

Generate structured gap analysis:

Gap TypeDescriptionPriority
Population GapNo studies in elderly patientsHigh
Outcome GapQuality of life not measuredMedium
Comparator GapNo head-to-head trialsHigh
Time GapNo studies since 2019Low

Using Knowledge Map

Creating a Map

  1. Navigate to Knowledge SuiteKnowledge Map
  2. Select the visualization type
  3. Choose studies to include (all or filtered subset)
  4. Configure display options
  5. Generate and explore

Map Configuration

Data Selection:

  • Include all extracted studies
  • Filter by review phase
  • Select specific characteristics

Visual Settings:

  • Color scheme selection
  • Node size mapping
  • Edge weight thresholds
  • Label display options

Saving & Sharing

  • Save Configurations: Store map settings for reuse
  • Export Images: High-resolution PNG/SVG for publications
  • Interactive Sharing: Generate shareable links (Enterprise)
  • Embed in Reports: Include in manuscripts and presentations

Use Cases

Scoping Reviews

Map the breadth of evidence:

  • Identify major research themes
  • Understand field structure
  • Plan systematic review scope
  • Justify research questions

Gap Analysis Reports

Communicate evidence needs:

  • Visual evidence matrices for stakeholders
  • Support funding applications
  • Guide future research priorities

Manuscript Figures

Create publication-ready visualizations:

  • Citation network figures
  • Evidence landscape diagrams
  • Geographic distribution maps

Team Understanding

Align team on evidence base:

  • Shared visual reference
  • Discussion facilitation
  • Training new team members

Best Practices

Effective Visualizations

  1. Start Simple: Begin with basic views before adding complexity
  2. Use Filters: Focus on relevant subsets for clarity
  3. Iterate: Refine views as understanding develops
  4. Document: Save important configurations

Interpretation

Caution: Visualizations reveal patterns, but always verify findings with underlying data. Apparent clusters may reflect search strategies rather than true knowledge structure.

  • Validate patterns with data review
  • Consider alternative explanations
  • Document interpretation rationale
  • Discuss with team members
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