Curs d’anàlisi de xarxes socials gratuït 24 Abril 24UTC 2012Posted by xarxes in xarxes.
Tags: anàlisi de xarxes socials, axs, free, gratuït, sna, socialnetworks, xarxes
Un interessant curs sobre anàlisi de xarxes socials basat sobretot en el programari per a l’anàlisi de xarxes a internet: Gephi. I també amb el programari lliure d’anàlisi estadística i de xarxes: R Project. El curs és de bades. Us podeu baixar els materials: Download all materials.
Social Network Analysis
This course will use social network analysis, both its theory and computational tools, to make sense of the social and information networks that have been fueled and rendered accessible by the internet.
About the Course
Everything is connected: people, information, events and places, all the more so with the advent of online social media. A practical way of making sense of the tangle of connections is to analyze them as networks. In this course you will learn about the structure and evolution of networks, drawing on knowledge from disciplines as diverse as sociology, mathematics, computer science, economics, and physics. Online interactive demonstrations and hands-on analysis of real-world data sets will focus on a range of tasks: from identifying important nodes in the network, to detecting communities, to tracing information diffusion and opinion formation.
About the Instructors
Lada Adamic is an Associate Professor in the School of Information and the Center for the Study of Complex Systems at the University of Michigan. She holds a PhD in Applied Physics from Stanford, where she conducted some of the first studies of online social networks. Adamic created the course “Networks: Theory and Application”, which she has been teaching since 2006. She has received an NSF Career Award to fund her research on the social dynamics of information, and a University of Michigan Henry Russell award in recognition of her teaching and research.
Frequently Asked Questions
- Are there any prerequisites?There are no math or programming prerequisites for the class. There will be a few additional assignments for those with a programming background, which will use the R statistical programming language along with NetLogo.
- What tools will we be using in this class?We will be using Gephi for visualization and analysis. The interactive demonstrations will be primarily in NetLogo, which you will be able to access through your web browser. If you would like to complete the programming assignments, which will be done in NetLogo and R, NetLogo is freely available here and R is freely available here.