Abstract:
Social network analysis has received a lot of attention recently due to globalization tendencies around the world. One part of this methodology is so called complex networks which have very close to real-world networks. The study of complex networks is active part of scientific research in many areas such as mathematics, economy, sociology, biology, and others. To study such large graphs, it is possible to use random graphs models. Such graphs are usually described by some rules that define probability of structure or properties of such graphs. It is believed that studying random graphs can help understand the structure of large graphs or complex networks.
