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Everything about Spatial network

Network representing spatial objects

A spatial network is a graph in which the vertices or edges are spatial elements associated with geometric objects, i.e., the nodes are located in a space equipped with a certain metric. The simplest mathematical realization of spatial network is a lattice or a random geometric graph, where nodes are distributed uniformly at random over a two-dimensional plane; a pair of nodes are connected if the Euclidean distance is smaller than a given neighborhood radius. Transportation and mobility networks, Internet, mobile phone networks, power grids, social and contact networks and biological neural networks are all examples where the underlying space is relevant and where the graph's topology alone does not contain all the information. Characterizing and understanding the structure, resilience and the evolution of spatial networks is crucial for many different fields ranging from urbanism to epidemiology. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Spatial networkA 5-minute orientation
  2. Skim a recent paper: FSAD-Net: Feedback Spatial Attention Dehazing NetworkInfluential work since 2022
  3. Pick up a classic book: Graphs and NetworksThe most-reprinted book on the subject
  4. Read the landmark paper: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual RecognitionCited 10,124 times
  5. Go sideways: Stochastic geometryA closely related topic
  6. Go sideways: Stochastic geometry models of wireless networksA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

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