A statnet network object based on empirical data about actors and their activities in a case study of Swiss wetlands management
ml_net
Format
Statnet network object with 132 nodes and 566 edges on two levels. One network level contains actors, a second network level contains activities. Links between actors indicate collaboration among actors. Links between actors and activities indicate that an actor is active in a given activity. Links between activities indicate that the activities are causally interdependent. The network contains two variables to describe nodes/ vertices.
- vertex.names
node labes
- sesType
Binary variable specifying network levels for every node (1 = node is a social node (actor) , 0 = node is a non-social node (an activity))
...
Source
Surveys and expert interviews in a Swiss wetland. Data is anonymized and should only be used for exemplary purposes.
