Using network analysis for your research

Disciplines that use network science

Abound literature of network analysis are from:

Social Sciences -> Social Network Analysis (SNA)
Mathematics -> Graph Theory
Computer Science - > Graph
Economics -> Networks
Ecology -> Networks
Biology -> Networks

Naming conventions

Different disciplines might use different terms for the same object in network analysis:

Networks = Graphs
Nodes = Vertices = Actors = Agents
Edges = Links = Ties = Relations
Communities = Clusters

Topics around network analysis

How to describe a network:
- Statistical properties of a network, a node, and an edge
- Node ranking
- Network modeling
- Network evolution
How to predict a network:
- Node classification (Machine Learning)
- Link prediction
- Information diffusion
How to discover knowledge from networks:
- Frequent pattern mining: graphlet/motif mining
- Node clustering (a.k.a. Community Detection)
- Network resilience
How to use the graph as a method for data mining:
- Network embedding
- Graph neural networks