This course is designed to quite literally ‘make a science’ out of something at the heart of society: social networks. Humans are natural network scientists, as we compute new network configurations all the time, almost unaware, when thinking about friends and family (which are particular forms of social networks), about colleagues and organizational relations (other, overlapping network structures), and about how to navigate delicate or opportunistic network configurations to save guard or advance in our social standing (with society being one big social network itself). While such network structures always existed, computational social science has helped to reveal and to study them more systematically. In the first part of the course we focus on network structure. This looks as static snapshots of networks, which can be intricate and reveal important aspects of social systems. In our hands-on lab, you will also visualize and analyze a network with a software yourself, which will help to appreciate the complexity social networks can take on. During the second part of the course, we will look at how networks evolve in time. We ask how we can predict what kind of network will form and if and how we could influence network dynamics.
À propos de ce cours
Université de Californie à Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
- 5 stars79,89 %
- 4 stars13,75 %
- 3 stars2,64 %
- 2 stars1,58 %
- 1 star2,11 %
Meilleurs avis pour ANALYSE DES RÉSEAUX SOCIAUX
inspiartional, educational and entertaining .... simply excellant
It was really very good learning with coursera especially the mentors for social network analysis were excellent .!!!!!!!
Very Usefull. Thank to Mr. Hillbert. But it can be more technical with more exerciceses.
This course bringg us with many patience many perspectives and concepts in order to understan social networks. I think it was incredible for my own self-learning, and for my future researches.
À propos du Spécialisation Sciences sociales computationnelles
For more information please view the Computational Social Science Trailer
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Une aide financière est-elle possible ?
What do students say after completion?
Since this Specialization is a collective effort from all UC campuses, who teaches it?
D'autres questions ? Visitez le Centre d'Aide pour les Étudiants.