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

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

Resumé

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.
OriginalsprogEngelsk
TitelProceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) : Volume 3: KMIS
RedaktørerJorge Bernardino, Ana Salgado, Joaquim Filipe
Antal sider11
Udgivelses stedSetúbal
ForlagSCITEPRESS Digital Library
Publikationsdato2019
Sider176-186
ISBN (Trykt)9789897583827
StatusUdgivet - 2019
Begivenhed11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Vienna University of Technology, Wien, Østrig
Varighed: 17 sep. 201919 sep. 2019
Konferencens nummer: 11
http://www.ic3k.org/?y=2019

Konference

Konference11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Nummer11
LokationVienna University of Technology
LandØstrig
ByWien
Periode17/09/201919/09/2019
Internetadresse

Emneord

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

Citer dette

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. I J. Bernardino, A. Salgado, & J. Filipe (red.), Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019): Volume 3: KMIS (s. 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. red. / Jorge Bernardino ; Ana Salgado ; Joaquim Filipe. Setúbal : SCITEPRESS Digital Library, 2019. s. 176-186
@inproceedings{26f90a47204649198cef59c7c2cd8726,
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.",
keywords = "Tie strength, Weak ties, Social media, Twitter, Facebook, Tie strength, Weak ties, Social media, Twitter, Facebook",
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",
isbn = "9789897583827",
pages = "176--186",
editor = "Jorge Bernardino and Ana Salgado and Joaquim Filipe",
booktitle = "Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019)",
publisher = "SCITEPRESS Digital Library",
address = "Portugal",

}

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. i J Bernardino, A Salgado & J Filipe (red), Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019): Volume 3: KMIS. SCITEPRESS Digital Library, Setúbal, s. 176-186, 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Wien, Østrig, 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. red. / Jorge Bernardino; Ana Salgado; Joaquim Filipe. Setúbal : SCITEPRESS Digital Library, 2019. s. 176-186.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer 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. I Bernardino J, Salgado A, Filipe J, red., 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. s. 176-186