A New Graphical Tool to Collect Ego-Centered Network Data


In 2020, we have developed an updated version of GENSI based on suggestions of Gert Stulp at the University of Groningen.

The 2020 version of GENSI is available in Javascript source code and can be downloaded here.
The source code as been cleaned and commented throughout. We decided to publish the Javascript source code so that GENSI can easily be implemented as a short ego-centered network module in existing online surveys. (Also, we did not have funding to develop a graphical user interface)
If you do not have experience with programming in Javascript, consider one of the other available software package we discuss in our publication (see below).




Stark, Tobias H. & Krosnick, Jon A. (2017). GENSI: A New Graphical Tool to Collect Ego-Centered Network Data. Social Networks (48): 36–45.

The original version of GENSI that was used in this publication can be downloaded here.

You can take a demo survey using the original version of GENSI here.




GENSI is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License (verison 3) as published by the Free Software Foundation.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.


This video shows the 2020 version of GENSI in an actual online surveys. The questionnaire was in Dutch but the general functionalities of GENSI should also be clear if you don't speak Dutch. Respondents first complete the network generator question by entering the names of people in their social network. Any kind of name generator can be used here. Subsequently, respondents are asked questions about each person in their social network. They can answer questions by clicking on the circles with the names of their network contacts or by dragging and dropping the names into answer categories. Also traditional survey questions can be implemented.



A video of the original version of GENSI used in the 2017 publication is available here: