Kampal is a tool for the study of collaborative networks based on its research and projects. The emphasis is on the relations between people and the dynamics of interaction rather than individual properties.
We build networks based on the interaction of members of an institution, and we represent them using graphs in order to give an overview of how people collaborate both inside and outside of it, which groups are formed and how they evolve. We also perform statistical analysis of the data.
Data is a the main driver behind the process. We mainly use scientific publications and research projects. They can be obtained both from corporate and public databases.
If the institution under study has its own database with its activity, we will extract its data. Otherwise they can be obtained from public databases.
The collected information is stored in our servers and organized according to the structure of the institution. Then we proceed to the statistical and collaborative analysis
Here we can find the results of the analysis graphically and visually using interactive community maps, statistical charts, lists of projects, publications, itemization of communities... All analysis can be performed specifically for the structures of the institution .
All these results are accessible from our website. Each institution has its own data section, but it can be shared publicly.
(*) The prices may change depending on the format and quality of the original data.
|Activity and evolution graphics|
|Communities' analysis: interactive maps, betweenness, communities' detection...|