Mohammad Heydari

Msc degree student

Discovering Latent Patterns in Academic Collaboration Network based on Community Detection Approach

  Monday, 30 December 2019
  16:00 - 19:00

Syllabus

Network Science has a broad demand in various academic fields and industries. This workshop is a primary introduction to Social Network Analysis using Python and NetworkX, a powerful and mature python library for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. This graph library is suitable for operation on large real world graphs: e.g., graphs in excess of 10 million nodes and 100 million edges. Due to its dependence on a pure Python "dictionary of dictionary" data structure, NetworkX is a reasonably efficient, very scalable, highly portable framework for network and social network analysis. Based on professionals experience in the network science field, the combination of mentioned tools could be effectively beneficial. It is crucial for contributors in this workshop to have a fundamental knowledge of Python and Network Science methods

Keywords

Social Network analysis Network Science Graph Analysis

Bio

Mohammad Heydari is a Msc degree student in the School of Industrial and Systems Engineering at Tarbiat Modares University. His primary research interests are Big Data Analytics Techniques and their Application in Large Scale Social Networks. Previously He was a Msc degree student in Information Technology Engineering at Shahid Beheshti University, finished his Bsc degree in Software Engineering at Technical and Vocational University of Tehran and got his official diploma in Computer Software.