Integrating Micro-level Interactions with Social Network Analysis in Tie Strength Research: The Edge-centered Approach

Osku Torre, Jayesh Prakash Gupta , Hannu Kärkkäinen, Henri Pirkkalainen, Ravi Vatrapu, Raghava Rao Mukkamala, Abid Hussain

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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.
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.
LanguageEnglish
Title of host publicationProceedings of the 21st International Academic Mindtrek Conference
EditorsMarkku Turunen, Heli Väätäjä, Janne Paavilainen, Thomas Olsson
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Date2017
Pages203-209
ISBN (Print)9781450354264
DOIs
StatePublished - 2017
Event21st Academic Mindtrek Conference 2017 - Tampere Hall Congress and Concert Centre, Tampere, Finland
Duration: 20 Sep 201721 Sep 2017
Conference number: 21
https://www.mindtrek.org/2017/academic/

Conference

Conference21st Academic Mindtrek Conference 2017
Number21
LocationTampere Hall Congress and Concert Centre
CountryFinland
CityTampere
Period20/09/201721/09/2017
Internet address

Keywords

  • Social network
  • Social tie
  • Social network analysis
  • Tie strength
  • Open data

Cite this

Torre, O., Gupta , J. P., Kärkkäinen, H., Pirkkalainen, H., Vatrapu, R., Mukkamala, R. R., & Hussain, A. (2017). Integrating Micro-level Interactions with Social Network Analysis in Tie Strength Research: The Edge-centered Approach. In M. Turunen, H. Väätäjä, J. Paavilainen, & T. Olsson (Eds.), Proceedings of the 21st International Academic Mindtrek Conference (pp. 203-209). New York: Association for Computing Machinery. DOI: 10.1145/3131085.3131095
Torre, Osku ; Gupta , Jayesh Prakash ; Kärkkäinen, Hannu ; Pirkkalainen, Henri ; Vatrapu, Ravi ; Mukkamala, Raghava Rao ; Hussain, Abid. / Integrating Micro-level Interactions with Social Network Analysis in Tie Strength Research : The Edge-centered Approach. Proceedings of the 21st International Academic Mindtrek Conference. editor / Markku Turunen ; Heli Väätäjä ; Janne Paavilainen ; Thomas Olsson. New York : Association for Computing Machinery, 2017. pp. 203-209
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Torre, O, Gupta , JP, Kärkkäinen, H, Pirkkalainen, H, Vatrapu, R, Mukkamala, RR & Hussain, A 2017, Integrating Micro-level Interactions with Social Network Analysis in Tie Strength Research: The Edge-centered Approach. in M Turunen, H Väätäjä, J Paavilainen & T Olsson (eds), Proceedings of the 21st International Academic Mindtrek Conference. Association for Computing Machinery, New York, pp. 203-209, Tampere, Finland, 20/09/2017. DOI: 10.1145/3131085.3131095

Integrating Micro-level Interactions with Social Network Analysis in Tie Strength Research : The Edge-centered Approach. / Torre, Osku; Gupta , Jayesh Prakash ; Kärkkäinen, Hannu ; Pirkkalainen, Henri; Vatrapu, Ravi; Mukkamala, Raghava Rao; Hussain, Abid.

Proceedings of the 21st International Academic Mindtrek Conference. ed. / Markku Turunen; Heli Väätäjä; Janne Paavilainen; Thomas Olsson. New York : Association for Computing Machinery, 2017. p. 203-209.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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AU - Gupta ,Jayesh Prakash

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AU - Pirkkalainen,Henri

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AU - Hussain,Abid

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N2 - 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.

AB - 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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KW - Open data

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KW - Social tie

KW - Social network analysis

KW - Tie strength

KW - Open data

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Torre O, Gupta JP, Kärkkäinen H, Pirkkalainen H, Vatrapu R, Mukkamala RR et al. Integrating Micro-level Interactions with Social Network Analysis in Tie Strength Research: The Edge-centered Approach. In Turunen M, Väätäjä H, Paavilainen J, Olsson T, editors, Proceedings of the 21st International Academic Mindtrek Conference. New York: Association for Computing Machinery. 2017. p. 203-209. Available from, DOI: 10.1145/3131085.3131095