Piazza, Anna ORCID: https://orcid.org/0000-0002-5785-6948 and Vasudevan, Srinidhi ORCID: https://orcid.org/0000-0002-8584-9112 (2021) Do you influence me? Evidence from a case study of network ties among university students in Pisa. In: Giordano, Giuseppe, Restaino, Marialuisa and Salvini, Andrea, (eds.) Methods and applications in social networks analysis: Evidence from Collaborative, Governance, Historical and Mobility Networks. Computational Social Science . FrancoAngeli, Italy, pp. 56-73. ISBN 978-8835124603

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Abstract

Social influence occurs when the behavior of an individual is affected by an outside force, such as other individuals. While there is growing literature on influence flows in primary and secondary school, little is known about how influence process occurs in the university. We propose taking advantage on a representative sample of advice-seeking networks at university level to assess social patterns of how individual and socio-economic characteristics influence students. We formulate and test our approach using data on cohort of students enrolled at the same master’s course at an Italian University and analyse the network of interactions as potential influence conduits for their academic outcomes. By using the network autocorrelation model, we find that network interactions are a significant indicator for the outcomes. We also explore the effect of the built environment on encouraging social interactions among students and consequently their outcomes. Our results provide empirical evidence on the ongoing influence operating through a system of advice relations that explains academic outcomes in educational fields.

Item Type:	Book Section
Uncontrolled Keywords:	social influence; network autocorrelation model; advice networks; student performance, student satisfaction, built environment
Subjects:	H Social Sciences > H Social Sciences (General) L Education > LB Theory and practice of education > LB2300 Higher Education Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Business Greenwich Business School > Networks and Urban Systems Centre (NUSC)
Last Modified:	02 Dec 2024 15:55
URI:	http://gala.gre.ac.uk/id/eprint/44499

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