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Assessing the stability of egocentric networks over time using the digital participant-aided sociogram tool Network Canvas

Published online by Cambridge University Press:  04 November 2019

Bernie Hogan Open the ORCID record for Bernie Hogan [Opens in a new window] ,
Patrick Janulis ,
Gregory Lee Phillips II ,
Joshua Melville ,
Brian Mustanski ,
Noshir Contractor  and
Michelle Birkett Open the ORCID record for Michelle Birkett [Opens in a new window]
Bernie Hogan*
Affiliation:
University of Oxford, Oxford, UK
Patrick Janulis
Affiliation:
Northwestern University, Evanston, IL, USA
Gregory Lee Phillips II
Affiliation:
Northwestern University, Evanston, IL, USA
Joshua Melville
Affiliation:
Northwestern University, Evanston, IL, USA
Brian Mustanski
Affiliation:
Northwestern University, Evanston, IL, USA
Noshir Contractor
Affiliation:
Northwestern University, Evanston, IL, USA
Michelle Birkett
Affiliation:
Northwestern University, Evanston, IL, USA
*
*Corresponding author. Email: [email protected]
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Abstract

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This paper examines the stability of egocentric networks as reported over time using a novel touchscreen-based participant-aided sociogram. Past work has noted the instability of nominated network alters, with a large proportion leaving and reappearing between interview observations. To explain this instability of networks over time, researchers often look to structural embeddedness, namely the notion that alters are connected to other alters within egocentric networks. Recent research has also asked whether the interview situation itself may play a role in conditioning respondents to what might be the appropriate size and shape of a social network, and thereby which alters ought to be nominated or not. We report on change in these networks across three waves and assess whether this change appears to be the result of natural churn in the network or whether changes might be the result of factors in the interview itself, particularly anchoring and motivated underreporting. Our results indicate little change in average network size across waves, particularly for indirect tie nominations. Slight, significant changes were noted between waves one and two particularly among those with the largest networks. Almost no significant differences were observed between waves two and three, either in terms of network size, composition, or density. Data come from three waves of a Chicago-based panel study of young men who have sex with men.

Keywords

Brea L. PerryBernice A. PescosolidoMario L. SmallAnn McCranieegocentric networksparticipant-aided sociogramsreliabilitypanel conditioningymsmpanel studylongitudinal networks
Type
Research Article
Information
Network Science , Volume 8 , Issue 2: Special Issue Ego Networks , June 2020 , pp. 204 - 222
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2019. Published by Cambridge University Press

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