𝗖𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘁𝘆 𝗠𝗲𝗮𝘀𝘂𝗿𝗲𝘀 𝗶𝗻 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀
Networks have structure. Some parts matter more than others.
Centrality measures help you find these important parts. They show which nodes hold the most influence.
Researchers use different methods to find these nodes:
- Degree centrality looks at direct connections.
- Betweenness centrality finds nodes acting as bridges.
- Closeness centrality measures how fast info moves through a node.
- Eigenvector centrality tracks nodes connected to other important nodes.
Understanding these measures helps you analyze social networks, biology, and internet structures. You learn how influence spreads and how systems fail.
Read the full survey to learn more about these methods.
Source: https://dev.to/paperium/centrality-measures-in-complex-networks-a-survey-4dgg
Optional learning community: https://t.me/GyaanSetuAi