Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data

Jayesh Prakash Gupta , Hannu Kärkkäinen, Karan Menon, Jukka Huhtamäki, Raghava Rao Mukkamala, Abid Hussain, Ravi Vatrapu, Jari Jussila, Henri Pirkkalainen, Thomas Olsson

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

Abstract

Tie strength is an essential concept in identifying different kind of social ties - strong ties and weak ties. Most present studies that evaluated tie strength from social media were carried out in a controlled environment and used private/closed social media data. Even though social media has become a very important way of networking in professional events, access to such private social media data in those events is almost impossible. There is very limited research on how to facilitate networking between event participants and especially on how to automate this networking aspect in events using social media. Tie strength evaluated using social media will be key in automating this process of networking. To create such tie strength based event participant recommendation systems and tools in the future, first, we need to understand how to evaluate tie strength using publicly available social media data. The purpose of this study is to evaluate tie strength from publicly available social media data in the context of a professional event. Our case study environment is community managers’ online discussions in social media (Twitter and Facebook) about the CMAD2016 event in Finland. In this work, we analyzed social media data from that event to evaluate tie strength and compared the social media analysis based findings with the individuals’ perceptions of the actual tie strengths of the event participants using a questionnaire. We present our findings and conclude with directions for future work.
Original languageEnglish
Title of host publicationProceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) : Volume 3: KMIS
EditorsJorge Bernardino, Ana Salgado, Joaquim Filipe
Number of pages11
Place of PublicationSetúbal
PublisherSCITEPRESS Digital Library
Publication date2019
Pages176-186
ISBN (Print)9789897583827
Publication statusPublished - 2019
Event11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Vienna University of Technology, Wien, Austria
Duration: 17 Sep 201919 Sep 2019
Conference number: 11
http://www.ic3k.org/?y=2019

Conference

Conference11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Number11
LocationVienna University of Technology
CountryAustria
CityWien
Period17/09/201919/09/2019
Internet address

Keywords

  • Tie strength
  • Weak ties
  • Social media
  • Twitter
  • Facebook

Cite this

Gupta , J. P., Kärkkäinen, H., Menon, K., Huhtamäki, J., Mukkamala, R. R., Hussain, A., ... Olsson, T. (2019). Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data. In J. Bernardino, A. Salgado, & J. Filipe (Eds.), Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019): Volume 3: KMIS (pp. 176-186). Setúbal: SCITEPRESS Digital Library.
Gupta , Jayesh Prakash ; Kärkkäinen, Hannu ; Menon, Karan ; Huhtamäki, Jukka ; Mukkamala, Raghava Rao ; Hussain, Abid ; Vatrapu, Ravi ; Jussila, Jari ; Pirkkalainen, Henri ; Olsson, Thomas. / Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data. Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019): Volume 3: KMIS. editor / Jorge Bernardino ; Ana Salgado ; Joaquim Filipe. Setúbal : SCITEPRESS Digital Library, 2019. pp. 176-186
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title = "Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data",
abstract = "Tie strength is an essential concept in identifying different kind of social ties - strong ties and weak ties. Most present studies that evaluated tie strength from social media were carried out in a controlled environment and used private/closed social media data. Even though social media has become a very important way of networking in professional events, access to such private social media data in those events is almost impossible. There is very limited research on how to facilitate networking between event participants and especially on how to automate this networking aspect in events using social media. Tie strength evaluated using social media will be key in automating this process of networking. To create such tie strength based event participant recommendation systems and tools in the future, first, we need to understand how to evaluate tie strength using publicly available social media data. The purpose of this study is to evaluate tie strength from publicly available social media data in the context of a professional event. Our case study environment is community managers’ online discussions in social media (Twitter and Facebook) about the CMAD2016 event in Finland. In this work, we analyzed social media data from that event to evaluate tie strength and compared the social media analysis based findings with the individuals’ perceptions of the actual tie strengths of the event participants using a questionnaire. We present our findings and conclude with directions for future work.",
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author = "Gupta, {Jayesh Prakash} and Hannu K{\"a}rkk{\"a}inen and Karan Menon and Jukka Huhtam{\"a}ki and Mukkamala, {Raghava Rao} and Abid Hussain and Ravi Vatrapu and Jari Jussila and Henri Pirkkalainen and Thomas Olsson",
year = "2019",
language = "English",
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booktitle = "Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019)",
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Gupta , JP, Kärkkäinen, H, Menon, K, Huhtamäki, J, Mukkamala, RR, Hussain, A, Vatrapu, R, Jussila, J, Pirkkalainen, H & Olsson, T 2019, Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data. in J Bernardino, A Salgado & J Filipe (eds), Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019): Volume 3: KMIS. SCITEPRESS Digital Library, Setúbal, pp. 176-186, Wien, Austria, 17/09/2019.

Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data. / Gupta , Jayesh Prakash ; Kärkkäinen, Hannu ; Menon, Karan; Huhtamäki, Jukka; Mukkamala, Raghava Rao; Hussain, Abid; Vatrapu, Ravi; Jussila, Jari; Pirkkalainen, Henri; Olsson, Thomas.

Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019): Volume 3: KMIS. ed. / Jorge Bernardino; Ana Salgado; Joaquim Filipe. Setúbal : SCITEPRESS Digital Library, 2019. p. 176-186.

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

TY - GEN

T1 - Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data

AU - Gupta , Jayesh Prakash

AU - Kärkkäinen, Hannu

AU - Menon, Karan

AU - Huhtamäki, Jukka

AU - Mukkamala, Raghava Rao

AU - Hussain, Abid

AU - Vatrapu, Ravi

AU - Jussila, Jari

AU - Pirkkalainen, Henri

AU - Olsson, Thomas

PY - 2019

Y1 - 2019

N2 - Tie strength is an essential concept in identifying different kind of social ties - strong ties and weak ties. Most present studies that evaluated tie strength from social media were carried out in a controlled environment and used private/closed social media data. Even though social media has become a very important way of networking in professional events, access to such private social media data in those events is almost impossible. There is very limited research on how to facilitate networking between event participants and especially on how to automate this networking aspect in events using social media. Tie strength evaluated using social media will be key in automating this process of networking. To create such tie strength based event participant recommendation systems and tools in the future, first, we need to understand how to evaluate tie strength using publicly available social media data. The purpose of this study is to evaluate tie strength from publicly available social media data in the context of a professional event. Our case study environment is community managers’ online discussions in social media (Twitter and Facebook) about the CMAD2016 event in Finland. In this work, we analyzed social media data from that event to evaluate tie strength and compared the social media analysis based findings with the individuals’ perceptions of the actual tie strengths of the event participants using a questionnaire. We present our findings and conclude with directions for future work.

AB - Tie strength is an essential concept in identifying different kind of social ties - strong ties and weak ties. Most present studies that evaluated tie strength from social media were carried out in a controlled environment and used private/closed social media data. Even though social media has become a very important way of networking in professional events, access to such private social media data in those events is almost impossible. There is very limited research on how to facilitate networking between event participants and especially on how to automate this networking aspect in events using social media. Tie strength evaluated using social media will be key in automating this process of networking. To create such tie strength based event participant recommendation systems and tools in the future, first, we need to understand how to evaluate tie strength using publicly available social media data. The purpose of this study is to evaluate tie strength from publicly available social media data in the context of a professional event. Our case study environment is community managers’ online discussions in social media (Twitter and Facebook) about the CMAD2016 event in Finland. In this work, we analyzed social media data from that event to evaluate tie strength and compared the social media analysis based findings with the individuals’ perceptions of the actual tie strengths of the event participants using a questionnaire. We present our findings and conclude with directions for future work.

KW - Tie strength

KW - Weak ties

KW - Social media

KW - Twitter

KW - Facebook

KW - Tie strength

KW - Weak ties

KW - Social media

KW - Twitter

KW - Facebook

M3 - Article in proceedings

SN - 9789897583827

SP - 176

EP - 186

BT - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019)

A2 - Bernardino, Jorge

A2 - Salgado, Ana

A2 - Filipe, Joaquim

PB - SCITEPRESS Digital Library

CY - Setúbal

ER -

Gupta JP, Kärkkäinen H, Menon K, Huhtamäki J, Mukkamala RR, Hussain A et al. Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data. In Bernardino J, Salgado A, Filipe J, editors, Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019): Volume 3: KMIS. Setúbal: SCITEPRESS Digital Library. 2019. p. 176-186