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Authors: Jayesh Gupta 1 ; Hannu Kärkkäinen 1 ; Karan Menon 1 ; Jukka Huhtamäki 1 ; Raghava Mukkamala 2 ; Abid Hussain 3 ; Ravi Vatrapu 4 ; Jari Jussila 5 ; Henri Pirkkalainen 1 and Thomas Olsson 6

Affiliations: 1 Unit of Information and Knowledge Management, Tampere University, Tampere and Finland ; 2 Department of Digitalization, Copenhagen Business School, Copenhagen, Denmark, Department of Technology, Kristiania University College, Oslo and Norway ; 3 Department of Digitalization, Copenhagen Business School, Copenhagen and Denmark ; 4 Dept. of ITM, Ted Rogers School of Management, Ryerson University, Toronto, Canada, Department of Technology, Kristiania University College, Oslo and Norway ; 5 HAMK Smart Research Unit, Häme University of Applied Sciences, Hämeenlinna and Finland ; 6 Faculty of Information Technology and Communication, Tampere University, Tampere and Finland

ISBN: 978-989-758-382-7

Keyword(s): Tie Strength, Weak Ties, Social Media, Twitter, Facebook.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Communication, Collaboration and Information Sharing ; Intelligent Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Social Networks and the Psychological Dimension ; Symbolic Systems ; Tools and Technology for Knowledge Management

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. (More)

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Paper citation in several formats:
Gupta, J.; Kärkkäinen, H.; Kärkkäinen, H.; Menon, K.; Huhtamäki, J.; Huhtamäki, J.; Mukkamala, R.; Hussain, A.; Vatrapu, R.; Jussila, J.; Pirkkalainen, H.; Pirkkalainen, H.; Olsson, T. and Olsson, T. (2019). Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data.In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, ISBN 978-989-758-382-7, pages 176-186. DOI: 10.5220/0008065501760186

@conference{kmis19,
author={Jayesh Prakash Gupta. and Hannu Kärkkäinen. and Hannu Kärkkäinen. and Karan Menon. and Jukka Huhtamäki. and Jukka Huhtamäki. and Raghava Rao Mukkamala. and Abid Hussain. and Ravi Vatrapu. and Jari Jussila. and Henri Pirkkalainen. and Henri Pirkkalainen. and Thomas Olsson. and Thomas Olsson.},
title={Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS,},
year={2019},
pages={176-186},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008065501760186},
isbn={978-989-758-382-7},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS,
TI - Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data
SN - 978-989-758-382-7
AU - Gupta, J.
AU - Kärkkäinen, H.
AU - Kärkkäinen, H.
AU - Menon, K.
AU - Huhtamäki, J.
AU - Huhtamäki, J.
AU - Mukkamala, R.
AU - Hussain, A.
AU - Vatrapu, R.
AU - Jussila, J.
AU - Pirkkalainen, H.
AU - Pirkkalainen, H.
AU - Olsson, T.
AU - Olsson, T.
PY - 2019
SP - 176
EP - 186
DO - 10.5220/0008065501760186

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