₪800 – ₪2,000

Introduction to Social Network Analysis (with R)

Event Information

Share this event

Date and Time

Location

Location

Tel Aviv (exact location TBD)

Refund Policy

Refund Policy

Refunds up to 7 days before event

Event description

Description

Social network data has become abundant in recent years. Although social networks has been studied for many years in academia, it is only now that data, theory and advanced statistical methods and technologies enable us to use social network as a powerful tool to understand the behavior of people, organizations and markets. This three day workshop provides the basic knowledge and skills for analyzing and interpreting network data. We will cover the basic theory of social networks to understand the main concepts behind it, we will learn how to collect, store and retrieve network data, how to visualize networks and how to extract meaningful insights from network data.

The workshop is intendended for people who work with data in various contexts, and want to enhance their skills and knowledge so that they can work with network data as well. The wrokshop structure is modular and people can participate in parts of the workshop (e.g. 1 or 2 or 3 days). See the detailed syllabus.


Day 1: Basic thoery, concepts, applications and tools (open to all, no pre-requisite knowledge)

During this day we will review the basic theory, main concepts and potential applications of social network analysis. No prior knowledge is required and it is suitable for non technical people as well. Towards the end of the day we will introduce "graph databases" as a way to store network data. While this is a technical part, anyone who manage to work with data using Excel will be able to follow and benefit from this session.

Day 2: Network visualization (requires basic knowledge in R)

One of the key features of social network analysis, is that a good picture of the network usually tells the whole story. During this day we will learn to import network data into R statistical environment, build a "network object" that represents the data, discuss in detail several ways of visualize networks.

for this session basic knowledge of R is required (and can be acquired, for example, using the introduction to R workshop, or many other free or paid resources on the internet. don't hesitate to ask us for advice.

Day 3: Network analysis

In the last day we will focus on quantitative analysis of network data. We will learn how to calculate important structural features of networks such as density, centrality, etc.
We will also learn how to build ego-network data, how to perform community analysis, identify subgroups, core-periphery analysis etc., and how all these come together to bring new insights.


Non technical people might want to join only day 1 of the workshop, people with some technical background may want to focus on day 2 if they have some knowledge in networks (and they are welcome to join day 1 as well for some extra-perspective. Day 3 is focused on data analysis and thus intended for people with background in analysis either in industry or academia.

As with all our workshops there will be plenty of time to ask questions that are relevant to your needs, and even opportunities to bring your own data and ask for advice.


Share with friends

Date and Time

Location

Tel Aviv (exact location TBD)

Refund Policy

Refunds up to 7 days before event

Save This Event

Event Saved