EN
CONTENTS
1. Introduction...........................................................................5
1.1. Purpose and scope..........................................................5
1.2. Probability-theoretic preliminaries....................................6
1.3. Graphs............................................................................11
1.4. Random graphs..............................................................13
2. Vertex-degrees....................................................................15
2.1. A general approach........................................................15
2.2. Model K(n,p)...................................................................18
2.3. Extreme degrees and global properties of K(n,p)...........42
2.4. Other models..................................................................48
3. Induced subgraphs..............................................................68
3.1. Greedy algorithm............................................................68
3.2. Complete subgraphs......................................................71
3.3. Bipartite complete subgraphs.........................................80
3.4. Trees..............................................................................86
References............................................................................102
Symbols.................................................................................105
Appendix: Updated notes.......................................................106