Thanks to the advent of big data in various domains, like social media and social network sites, the study of social networks using computational methods has gained popularity. In this introductory talk, I will introduce some fundamental notations and properties that are used to characterize such networks, and discuss a number of key network measures that are commonly used in data science contexts. We will also learn how a social network and its associated metrics can be generated and visualized using Gephi, an open-source network visualization and analysis tool that offers a set of user-friendly, yet powerful, features for performing SNA.
This will be a hands-on walkthrough session, we recommend you to install the "Gephi" Software and also have the sample dataset with you before the session.
Software to install: Click here to download
Sample GML File: Click here to download
Sample Description: Coauthorships in network science: coauthorship network of scientists working on network theory and experiment, as compiled by M. Newman in May 2006. A figure depicting the largest component of this network can be found here. M. E. J. Newman, Phys. Rev. E 74, 036104 (2006).
Other Sample Dataset(s): Click here to view
This talk is aimed at students and professionals working in any data-related area that uses quantitative approaches. It will equip you with the basic knowledge and skills to understand, conceptualize, analyze and visualize network data.
Note: Anyone with a general interest in social networks. Some prior knowledge in graph theory is an added plus. Also, some basic exposure to R and Python is helpful to fully appreciate the benefit of the SNA libraries and packages that I would briefly mention in my talk.
A 10-minute introductory session on how social networks have evolved over the years and the various real world contexts where a knowledge of social networks would be immensely useful.
A 15 minute session where we look at how major corporations like Facebook and Google, as well as SMEs from around the world are leveraging networks to their advantage.
A 30-minute session that walks through the basic mathematical tenets of social networks, associated data structures, centrality metrics, and a discussion of popular computational tools (e.g. R, Python) to perform SNA.
A 30-minute session introducing Gephi and demonstrating some of its key functionalities. A hands-on guide for this session will be provided to all participants so that they can replicate some of the demo tasks after the session is over.
A 10-minute Q&A session and final thoughts.
Yes, unless the talk is a live-only event (stated in event description) we will be recording the talk and will post the video recording online afterwards. We'll send out an email to all registrants 1-2 business days after the talk with a link to the video.
"IST" stands for Indian Standard Time. We are located in India, which is Indian Standard Time (UTC+05:30).
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