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Identifying different types of social ties in events from publicly available social media data

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Identifying different types of social ties in events from publicly available social media data. / Gupta, Jayesh; Kärkkäinen, Hannu; Menon, Karan; Huhtamäki, Jukka; Mukkamala, Raghava Rao; Hussain, Abid; Vatrapu, Ravi ; Jussila, Jari; Pirkkalainen, Henri; Olsson, Thomas.

Proceedings of the 11th International Conference on Knowledge Management and Information Systems (KMIS 2019): September 17-19, 2019, in Vienna, Austria. ed. / Jorge Bernardino; Ana Salgado; Joaquim Filipe. Vol. 3 SCITEPRESS, 2019. p. 176-186.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Gupta, J, 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 Conference on Knowledge Management and Information Systems (KMIS 2019): September 17-19, 2019, in Vienna, Austria. vol. 3, SCITEPRESS, pp. 176-186, International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 1/01/00. https://doi.org/10.5220/0008065501760186

APA

Gupta, J., 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 Conference on Knowledge Management and Information Systems (KMIS 2019): September 17-19, 2019, in Vienna, Austria (Vol. 3, pp. 176-186). SCITEPRESS. https://doi.org/10.5220/0008065501760186

Vancouver

Gupta J, 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 Conference on Knowledge Management and Information Systems (KMIS 2019): September 17-19, 2019, in Vienna, Austria. Vol. 3. SCITEPRESS. 2019. p. 176-186 https://doi.org/10.5220/0008065501760186

Author

Gupta, Jayesh ; 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 Conference on Knowledge Management and Information Systems (KMIS 2019): September 17-19, 2019, in Vienna, Austria. editor / Jorge Bernardino ; Ana Salgado ; Joaquim Filipe. Vol. 3 SCITEPRESS, 2019. pp. 176-186

Bibtex - Download

@inproceedings{51ba96f21dc74c70af1d3a3232d4bcc8,
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 network- ing 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",
author = "Jayesh Gupta 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",
note = "EXT={"}Jussila, Jari{"}",
year = "2019",
month = "9",
doi = "10.5220/0008065501760186",
language = "English",
volume = "3",
pages = "176--186",
editor = "Jorge Bernardino and Salgado, {Ana } and Joaquim Filipe",
booktitle = "Proceedings of the 11th International Conference on Knowledge Management and Information Systems (KMIS 2019)",
publisher = "SCITEPRESS",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Identifying different types of social ties in events from publicly available social media data

AU - Gupta, Jayesh

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

N1 - EXT="Jussila, Jari"

PY - 2019/9

Y1 - 2019/9

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 network- ing 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 network- ing 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

U2 - 10.5220/0008065501760186

DO - 10.5220/0008065501760186

M3 - Conference contribution

VL - 3

SP - 176

EP - 186

BT - Proceedings of the 11th International Conference on Knowledge Management and Information Systems (KMIS 2019)

A2 - Bernardino, Jorge

A2 - Salgado, Ana

A2 - Filipe, Joaquim

PB - SCITEPRESS

ER -