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Integrating micro-level interactions with social network analysis in tie strength research: the edge-centered approach

Published: 20 September 2017 Publication History

Abstract

A social tie is a target for ongoing, high-level scientific debate. Measuring the tie strength in social networks has been an important topic for academic studies since Mark Granovetter's seminal papers in 1970's. However, it is still a problematic issue mainly for two reasons: 1) existing tie strength measurements may not reflect the true social connections of individuals accurately enough, and 2) many different methods to gather data from social media are not applicable anymore due to different data openness issues. In addition, we have only little empirical knowledge of the actual tie strengthening process in online social networks. Therefore, we suggest a new approach to tie strength research, which focuses on studying communication patterns (edges) more rather than actors (nodes) in a social network.
In this paper we build a social network analysis-based approach to enable the evaluation of tie strength based on reciprocal interaction from publicly available Facebook data, and suggest that this approach could work as a basis for further tie strength studies. Our approach makes use of weak tie theory, and enables researchers to study micro-level interactions (i.e. discussions, messages, relationships) with large-scale social network analysis (SNA). This study provides a way to find relevant actors from publicly available data in the context of tie strengthening process, and answers how to take this stream of research closer to computational social science.

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  • (2021)Resident’s Alzheimer Disease and Social Networks Within a Nursing HomeComplex Networks & Their Applications IX10.1007/978-3-030-65351-4_27(335-345)Online publication date: 5-Jan-2021

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    cover image ACM Conferences
    AcademicMindtrek '17: Proceedings of the 21st International Academic Mindtrek Conference
    September 2017
    271 pages
    ISBN:9781450354264
    DOI:10.1145/3131085
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    Published: 20 September 2017

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    Author Tags

    1. open data
    2. social network
    3. social network analysis
    4. social tie
    5. tie strength

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    AcademicMindtrek'17: Annual Academic Mindtrek Conference
    September 20 - 21, 2017
    Tampere, Finland

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    • (2021)Resident’s Alzheimer Disease and Social Networks Within a Nursing HomeComplex Networks & Their Applications IX10.1007/978-3-030-65351-4_27(335-345)Online publication date: 5-Jan-2021

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