Understanding user communities from social network data

Alastair Gill; Emma L. Tonkin

Understanding user communities from social network data

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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Abstract

Understanding user communities and identifying change within them is important for a range of organisations, including those concerned with cultural heritage. In this paper we present an exploratory study which uses dynamic social network analysis of posts from the Tumblr blogging site relating to the Tate galleries to observe user community change. In addition, we apply two
versions of topic modeling to the text of the posts in order to examine user community concerns and changes within these over time. In general, the most noticeable changes in topics within the user communities tends to occur when there has been a major physical change in the social network, such as an increase in membership, with these new members bringing new concerns and
interests. After summarising the findings of our approach in detail, we propose practical methods which could be incorporated in to real time monitoring of user community change by cultural heritage organisations.

Original language	English
Title of host publication	Joint Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems - SEMANTiCS2016 and the 1st International Workshop on Semantic Change & Evolving Semantics (SuCCESS'16)
Publisher	CEUR Workshop Proceedings
Number of pages	8
Volume	1695
Publication status	Published - 30 Sept 2016
Event	Evolving Semantics: Workshop at SEMANTiCs 2016: 12th International Conference on Semantic Systems - Leipzig, Germany Duration: 12 Sept 2016 → 15 Sept 2016

Conference

Conference	Evolving Semantics
Country/Territory	Germany
City	Leipzig
Period	12/09/16 → 15/09/16

Keywords

semantic change
digital preservation
social network
dynamic social network
topic modelling
cultural heritage

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http://ceur-ws.org/Vol-1695/paper44.pdf

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Gill, A., & Tonkin, E. L. (2016). Understanding user communities from social network data. In Joint Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems - SEMANTiCS2016 and the 1st International Workshop on Semantic Change & Evolving Semantics (SuCCESS'16) (Vol. 1695). CEUR Workshop Proceedings. http://ceur-ws.org/Vol-1695/paper44.pdf

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title = "Understanding user communities from social network data",

abstract = "Understanding user communities and identifying change within them is important for a range of organisations, including those concerned with cultural heritage. In this paper we present an exploratory study which uses dynamic social network analysis of posts from the Tumblr blogging site relating to the Tate galleries to observe user community change. In addition, we apply twoversions of topic modeling to the text of the posts in order to examine user community concerns and changes within these over time. In general, the most noticeable changes in topics within the user communities tends to occur when there has been a major physical change in the social network, such as an increase in membership, with these new members bringing new concerns andinterests. After summarising the findings of our approach in detail, we propose practical methods which could be incorporated in to real time monitoring of user community change by cultural heritage organisations.",

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note = "Evolving Semantics : Workshop at SEMANTiCs 2016: 12th International Conference on Semantic Systems ; Conference date: 12-09-2016 Through 15-09-2016",

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Gill, A & Tonkin, EL 2016, Understanding user communities from social network data. in Joint Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems - SEMANTiCS2016 and the 1st International Workshop on Semantic Change & Evolving Semantics (SuCCESS'16). vol. 1695, CEUR Workshop Proceedings, Evolving Semantics, Leipzig, Germany, 12/09/16. <http://ceur-ws.org/Vol-1695/paper44.pdf>

Understanding user communities from social network data. / Gill, Alastair; Tonkin, Emma L.
Joint Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems - SEMANTiCS2016 and the 1st International Workshop on Semantic Change & Evolving Semantics (SuCCESS'16). Vol. 1695 CEUR Workshop Proceedings, 2016.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Understanding user communities from social network data

AU - Gill, Alastair

AU - Tonkin, Emma L.

PY - 2016/9/30

Y1 - 2016/9/30

N2 - Understanding user communities and identifying change within them is important for a range of organisations, including those concerned with cultural heritage. In this paper we present an exploratory study which uses dynamic social network analysis of posts from the Tumblr blogging site relating to the Tate galleries to observe user community change. In addition, we apply twoversions of topic modeling to the text of the posts in order to examine user community concerns and changes within these over time. In general, the most noticeable changes in topics within the user communities tends to occur when there has been a major physical change in the social network, such as an increase in membership, with these new members bringing new concerns andinterests. After summarising the findings of our approach in detail, we propose practical methods which could be incorporated in to real time monitoring of user community change by cultural heritage organisations.

AB - Understanding user communities and identifying change within them is important for a range of organisations, including those concerned with cultural heritage. In this paper we present an exploratory study which uses dynamic social network analysis of posts from the Tumblr blogging site relating to the Tate galleries to observe user community change. In addition, we apply twoversions of topic modeling to the text of the posts in order to examine user community concerns and changes within these over time. In general, the most noticeable changes in topics within the user communities tends to occur when there has been a major physical change in the social network, such as an increase in membership, with these new members bringing new concerns andinterests. After summarising the findings of our approach in detail, we propose practical methods which could be incorporated in to real time monitoring of user community change by cultural heritage organisations.

KW - semantic change

KW - digital preservation

KW - social network

KW - dynamic social network

KW - topic modelling

KW - cultural heritage

M3 - Conference Contribution (Conference Proceeding)

VL - 1695

BT - Joint Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems - SEMANTiCS2016 and the 1st International Workshop on Semantic Change & Evolving Semantics (SuCCESS'16)

PB - CEUR Workshop Proceedings

T2 - Evolving Semantics

Y2 - 12 September 2016 through 15 September 2016

ER -

Understanding user communities from social network data

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