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APPLICATIONS
OF FORMAN-
RICCI
CURVATURE
Colleen M. Farrelly
Introduction
to Curvature
Types of Curvature:
Intrinsic
• Curvature at a point (local)
• Does not depend on the surface embedding
• Can be measured by:
• Defining a metric
• Measuring a geodesic
• Example:
• Gaussian curvature (product of principal
curvatures at a point)
Types of Curvature: Extrinsic
• Curvature of a surface
• Depends on the surface embedding
• Can be measured by:
• Examining rate of change from unit normal along surface
• Involves lifting manifold to higher-dimensional space,
measuring, and comparing to manifold measurements
• Example:
• Geodesic curvature
• Can have extrinsic curvature without intrinsic
curvature
Ricci Curvature
• Tensor defined locally to measure how a metric
tensor differs locally from Euclidean space
• Measures how a shape deforms as you move
along a geodesic line on the manifold
• Relates to the Laplacian tensor
• Symmetric properties
• Flow of Ricci curvature directly related to
solutions of partial differential equations defined
geometrically
Ricci Flow
• Partial differential equation for Riemannian
metric on a manifold
• Analogous to heat diffusion
Ricci Curvature: From
Continuous to Discrete
• Connection to Laplacian (and
Bochner formula)
• Allows for extensions of Ricci
curvature and flow to discrete
objects like graphs
• Includes Forman-Ricci curvature and
Forman-Ricci flow
Forman-Ricci Curvature
• Forman-Ricci curvature formula for weighted networks:
𝑅𝑖𝑐 𝑒 = 𝑤(𝑒)(
𝑤(𝑣1)
𝑤(𝑒)
+
𝑤(𝑣2)
𝑤(𝑒)
-
𝑒 𝑣2 ~𝑣
𝑒 𝑣1 ~𝑣
𝑤(𝑣1)
𝑤(𝑒)𝑤(𝑒𝑣1)
+
𝑤(𝑣2)
𝑤(𝑒)𝑤(𝑒𝑣2)
)
• e denotes an edge connecting two vertices, v1 and v2
• w denotes the weight of each vertex or edge
• Collapses to a simpler formula for unweighted networks
• Edge curvature related to degree
• Can sum edge curvatures to get a vertex centrality score based on curvature
Forman-Ricci
Flow
• To calculate flow:
• Subtract edge curvature
between time points
• Differences in Forman-Ricci
centrality of vertices related
to importance of vertex in
network over time
Applications
Systems biology
Sociology
Epidemiology
Finance
Engineering

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Applications of Forman-Ricci Curvature.pptx

  • 3. Types of Curvature: Intrinsic • Curvature at a point (local) • Does not depend on the surface embedding • Can be measured by: • Defining a metric • Measuring a geodesic • Example: • Gaussian curvature (product of principal curvatures at a point)
  • 4. Types of Curvature: Extrinsic • Curvature of a surface • Depends on the surface embedding • Can be measured by: • Examining rate of change from unit normal along surface • Involves lifting manifold to higher-dimensional space, measuring, and comparing to manifold measurements • Example: • Geodesic curvature • Can have extrinsic curvature without intrinsic curvature
  • 5. Ricci Curvature • Tensor defined locally to measure how a metric tensor differs locally from Euclidean space • Measures how a shape deforms as you move along a geodesic line on the manifold • Relates to the Laplacian tensor • Symmetric properties • Flow of Ricci curvature directly related to solutions of partial differential equations defined geometrically
  • 6. Ricci Flow • Partial differential equation for Riemannian metric on a manifold • Analogous to heat diffusion
  • 7. Ricci Curvature: From Continuous to Discrete • Connection to Laplacian (and Bochner formula) • Allows for extensions of Ricci curvature and flow to discrete objects like graphs • Includes Forman-Ricci curvature and Forman-Ricci flow
  • 8. Forman-Ricci Curvature • Forman-Ricci curvature formula for weighted networks: 𝑅𝑖𝑐 𝑒 = 𝑤(𝑒)( 𝑤(𝑣1) 𝑤(𝑒) + 𝑤(𝑣2) 𝑤(𝑒) - 𝑒 𝑣2 ~𝑣 𝑒 𝑣1 ~𝑣 𝑤(𝑣1) 𝑤(𝑒)𝑤(𝑒𝑣1) + 𝑤(𝑣2) 𝑤(𝑒)𝑤(𝑒𝑣2) ) • e denotes an edge connecting two vertices, v1 and v2 • w denotes the weight of each vertex or edge • Collapses to a simpler formula for unweighted networks • Edge curvature related to degree • Can sum edge curvatures to get a vertex centrality score based on curvature
  • 9. Forman-Ricci Flow • To calculate flow: • Subtract edge curvature between time points • Differences in Forman-Ricci centrality of vertices related to importance of vertex in network over time