Network Analysis in Science, Technology and Innovation (STI) studies
Course Timetable
| Morning Session | Afternoon Session | Q&A with Instructor |
|---|---|---|
| 10am-12pm (London time) | 2pm-4pm (London time) | 4pm-4:30pm (London time) |
Presented by Antonio Zinilli, National Research council of Italy
Course Overview
Building tools to access and retrieve data stored in known locations online has always been an important resource for any analyst; now more so than ever with vast amounts of data being available. However, accessing this data in formats that is easy to examine is not so straightforward.
This live and online short course will cover:
- An introduction to network analysis methods.
- The application of these methods in the contexts of Science, Technology and Innovation.
- Case examples such as Scientific and Patent collaboration
- Basic through to Advanced concepts in Network analysis.
On completion of this course, you will have the essential tools for a correct application of some popular Network Analysis methods in various STI (Science, Technology and Innovation) contexts.
Course Timetable
| Morning Session | Afternoon Session | Q&A with Instructor |
|---|---|---|
| 10am-12pm (London time) | 2pm-4pm (London time) | 4pm-4:30pm (London time) |
Course Agenda
Day 1
- Introduction to SNA, Network settings and Graphical representation methods.
- What is a Network
- Installation of commands
- Import, Export, Delete & Maintain networks
- From two-mode to one-mode networks.
- Visualisation & Animation of networks
- Exploratory Networks, Network Density and Centrality/Clustering Indices.
- Dyads & Triads
- Distance & Paths
- Importance of centrality measures
- Betweenness, Katz & Proximity centrality
- Centrality of eigenvectors
Day 2
- Simulation of Networks and Testing.
- Random, Lattice, Homophily, Small world & Preferential attachment networks.
- Correlation of networks
- Permutation testing
- Distributions and Models.
- Quadratic Assignment Procedure (QAP)
- Power Law Distribution
- Real network data is analysed
Q&A Session
At the end of the course, there will be a dedicated informal session for Q&A relevant to the content of the course.
Prerequisites
This course requires you to use Python. You therefore will need to either check that Python is already installed on your computer, or you will need to install Python onto your computer before the course starts.
Installing Python is generally easy, and nowadays many Linux and UNIX distributions include a recent Python. Even some Windows computers (notably those from HP) now come with Python already installed.
To start programming, you need an operating system (OS). Python is cross-platform and will work on Windows, macOS, and Linux.
To work with Python, you will need a Text Editor or IDE. This course does not require a specific Text Editor or IDE as we focus on the integration of Stata and Python and therefore Python scripts that we will discuss will be embedded inside Stata .do files, which will be executed directly from within Stata.
A basic understanding of Stata is required for attending this training course.
Terms & Conditions
- Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrolment).
- Additional discounts are available for multiple registrations. Contact us for more information.
- Temporary, time limited licences for the software(s) used in the course will be provided. You are required to install the software provided prior to the start of the course.
- Full payment of course fees is required prior to the course start date to guarantee your place.
- Registration closes 1 calendar day prior to the start of the course.
Cancellations or changes to your registration
- 100% fee returned for cancellations made over 28-calendar days prior to start of the course.
- 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
- No fee returned for cancellations made less than 14-calendar days prior to the start of the course.
The number of attendees is restricted. Please register early to guarantee your place.