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  • Cambridge University Press (CUP)  (2)
  • 2020-2024  (2)
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  • Cambridge University Press (CUP)  (2)
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  • 2020-2024  (2)
Year
  • 1
    Online Resource
    Online Resource
    Information Transmission in a Social Network: A Field Experiment
    Cambridge University Press (CUP) ; 2023
    In:  Journal of Experimental Political Science
    Details
    In: Journal of Experimental Political Science, Cambridge University Press (CUP)
    Abstract: Using an app for smartphones, we run an experiment among high-school students to study the pattern of aggregation of sparsely distributed information. Agents are randomly arranged in small networks and can share only non-verifiable pieces of information. Results show that while information exchange is high, the level and the distribution of centralities among network members are important to shape the overall level of information aggregation. A reduction in the asymmetry among agents’ network centralities is associated with an improvement in the performance of the group in terms of aggregation of information.
    Type of Medium: Online Resource
    ISSN: 2052-2630 , 2052-2649
    URL: Article
    DOI: 10.1017/XPS.2023.21
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2765224-5
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Experimental Methods for Measuring Social Networks without Censoring
    Cambridge University Press (CUP) ; 2023
    In:  Journal of Experimental Political Science
    Details
    In: Journal of Experimental Political Science, Cambridge University Press (CUP)
    Abstract: We elicit social networks among students in an Italian high school either by measuring the complete network in an incentive-compatible way or by using a truncated elicitation of at most five links. We find that truncation undercounts weak links by up to 90% but only moderately undercounts the time spent with strong friends. We use simulations to demonstrate that the measurement error induced by censoring might be particularly significant when studying phenomena such as social learning which are often thought to operate along weak ties. We then discuss how a modified network elicitation protocol might be able to reduce measurement error.
    Type of Medium: Online Resource
    ISSN: 2052-2630 , 2052-2649
    URL: Article
    DOI: 10.1017/XPS.2023.23
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2765224-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
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