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  5. MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network
 
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MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network

Author(s)
Pakrashi, Arjun  
Alghamdi, Elham  
MacNamee, Brian  
Greene, Derek  
Uri
http://hdl.handle.net/10197/10667
Date Issued
2018-12-07
Date Available
2019-05-27T10:13:42Z
Abstract
Meetup.com is a global online platform which facilitates the organisation of meetups in different parts of the world. A meetup group typically focuses on one specific topic of interest, such as sports, music, language, or technology. However, many users of this platform attend multiple meetups. On this basis, we can construct a co-membership network for a given location. This network encodes how pairs of meetups are connected to one another via common members. In this work we demonstrate that, by applying techniques from social network analysis to this type of representation, we can reveal the underlying meetup community structure, which is not immediately apparent from the platform's website. Specifically, we map the landscape of Dublin's meetup communities, to explore the interests and activities of meetup.com users in the city.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Conference Publication
Publisher
CEUR Workshop Proceedings
Copyright (Published Version)
2018 the Authors
Subjects

Meetups

Meetup.com platform

Social network analys...

Centrality analysis

Community finding

Communities

Web versions
http://aics2018.scss.tcd.ie/index.html
http://ceur-ws.org/Vol-2259/
Language
English
Status of Item
Peer reviewed
Journal
Brennan, R., Beel, J., Byrne, R., Debattista, J., Crotti Junior, A. (eds.). AICS 2018: Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science
Conference Details
AICS 2018: 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, 6-7 December 2018
ISSN
1613-0073
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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insight_publication.pdf

Size

4.01 MB

Format

Adobe PDF

Checksum (MD5)

9e6d437157904bce0d5720d8d3df551f

Owning collection
Insight Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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