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Everything about Network science

Academic field

Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes and the connections between the elements or actors as links. The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology. The United States National Research Council defines network science as "the study of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena." Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Network scienceA 5-minute orientation
  2. Skim a recent paper: Graph neural networks for materials science and chemistryInfluential work since 2022
  3. Pick up a classic book: Hacking for DummiesThe most-reprinted book on the subject
  4. Read the landmark paper: Network scienceCited 547 times
  5. Go sideways: Erdős–Rényi modelA closely related topic
  6. Go sideways: Watts–Strogatz modelA closely related topic

đź“– Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Background and history
  2. Network classification
  3. Network properties
  4. Network models
  5. Network analysis
  6. Spread of content in networks
  7. Multilayer networks
  8. Network optimization
  9. Interdependent networks

🏆 Landmark papers (most cited)

🆕 Influential since 2022

đź“š Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

đź”— Related topics