Eliciting personal network data in web surveys through participant-generated sociograms

Abstract : The paper presents a method to elicit personal network data in Internet surveys, exploiting the renowned appeal of network visualizations to reduce respondent burden and risk of drop-out. It is a participant-generated computer-based sociogram, an interactive graphical interface enabling participants to draw their own personal networks with simple and intuitive tools. In a study of users of websites on eating disorders, we have embedded the sociogram within a two-step approach aiming to first elicit the broad ego network of an individual, and then to extract subsets of issue-specific support ties. We find this to be a promising tool to facilitate survey experience and adaptable to a wider range of network studies.
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Contributor : Antonio A. Casilli <>
Submitted on : Friday, October 26, 2012 - 8:40:39 AM
Last modification on : Wednesday, February 20, 2019 - 2:40:17 PM
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  • HAL Id : hal-00745617, version 1



Paola Tubaro, Antonio Casilli, Lise Mounier. Eliciting personal network data in web surveys through participant-generated sociograms. 2012. ⟨hal-00745617⟩



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