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This course is designed for anyone interested in developing their understanding of the basic concepts of social network theory and how information, viruses, and norms spread through society. It will be particularly useful for professionals dealing with situations where social influences and processes of diffusion play a role, such as in the context of public policy, business, marketing, and healthcare. If you already study social science and would like to develop your skills in maths, computers, and formal modelling, this course will help.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 13 | |
| downloads | 11 |

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