Workshop On Data Science With Complex Networks - Batch 2

Introduction to the scope and reach of network sciences

In-depth analysis of complex networks

Detailed dissection of network structure

KNOWLEDGE PARTNER

Course Curriculum

DAY 1
  • Emergence, involvement and existence of network
  • Impact of network on understanding complex systems
  • A network point of view on the rapidly changing modern world.
  • The hidden patterns behind every element
    • Power of six degrees
    • Strength of weak ties
    • Rich-Get-Richer phenomenon
    • Small-world effect
    • Influencers
DAY 2
  • Digging deeper into networks
    • Data repositories
    • Software tools
    • Visualisation and analysis
  • Explore the networks : Opportunities in network science
    • Courses/Conferences/Schools
    • Research lab/Communities

About the course

We are surrounded by numerous networks like social networks, the World Wide Web, road networks, power networks, epidemic networks, etc. Today, the world has become highly interconnected and hence more complex. Any complex phenomenon such as information cascades, climate change, pandemics, financial crisis, and blackouts can be visualised as networks. They encompass surprising secrets and they can be revealed with the help of network science theory. Network science (Theory of Complex Networks) is a very young multidisciplinary area of study which was developed to aid in modelling and understanding interactions in many complex systems like social groups, economic systems, biological processes, ecological webs, human brain connectivity, epidemic spreading and transportation systems. The theory as well as application of complex networks form a very relevant and broad area of study in recent times. The subscribers can access the recorded video classes of the LIVE session, for a duration of three months.

Eligibility

Recommended for graduates and above

System Requirements

This course requires a computer or laptop with a steady internet connection

Class Timings

Date : 28th and 29th September 2022

Time : 8.00 PM to 9.30 PM IST

Resource Person

Jisha Mariyam John

Research Scholar at
Indian Institute of Information Technology (IIIT), Kottayam Her core area of interest is Network Science.

Knowledge Partner