Overview
Network Theory (Graph Theory) is the map of connections. It studies how things are linked. From the internet to your brain to your friends, everything is a network.
Core Idea
The core idea is structure matters. The way a network is wired determines how it behaves (e.g., how fast a virus spreads).
Formal Definition
- Nodes: The dots (People, Computers, Neurons).
- Edges: The lines (Friendship, Cables, Synapses).
- Topology: The shape of the network.
Intuition
- Six Degrees of Separation: You are connected to everyone on Earth by a chain of about 6 people. (Small World Network).
- Hubs: Some nodes (Influencers, Google, Airports) have massive connections. They hold the network together.
Examples
- The Internet: A decentralized network designed to survive nuclear war.
- Pandemics: Viruses spread through social networks. Super-spreaders are “hubs.”
- Power Grid: A fragile network where one failure can cascade (Blackout).
Common Misconceptions
- Misconception: All networks are random.
- Correction: Most real-world networks are Scale-Free (Power Law). A few hubs have most of the connections. (Rich get richer).
- Misconception: Removing a node damages the network.
- Correction: Random networks are robust. You can delete 90% of nodes and it still works. But if you delete the hubs, it collapses instantly (Achilles Heel).
Related Concepts
- Social Network Analysis: Applying this to people.
- Complexity Theory: Networks are the skeleton of complex systems.
Applications
- Marketing: Viral marketing targets hubs.
- Terrorism: Dismantling cells by finding the central nodes.
- Biology: Protein interaction networks.
Criticism and Limitations
- Data Quality: It’s hard to map all connections (e.g., the Dark Web).
Further Reading
- Linked by Albert-László Barabási
- Six Degrees by Duncan Watts