Early and late fusion methods for the automatic creation of Twitter lists

CONOR HAYES

doi:10.1109/ASONAM.2012.203

Early and late fusion methods for the automatic creation of Twitter lists

CONOR HAYES

Computer Science

University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

1 Citation (Scopus)

Abstract

Twitters lists feature allows users to organize their followees into groups for easier information access and filtering. However, the percentage of users using lists is very small and most existing lists have only a few members. One reason for this may be that curating groups of Twitter users is a time consuming task. In this paper, we propose early and late fusion methods for automatically clustering followees using both graph structure and tweet content. We evaluate our approaches using ground-truth Twitter lists crawled via the Twitter API and show that the late fusion method outperforms both the baselines and the early fusion method.

Original language	English (Ireland)
Title of host publication	2012 IEEE ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM)
Pages	1177-1182
Number of pages	6
DOIs	https://doi.org/10.1109/ASONAM.2012.203
Publication status	Published - 1 Aug 2012
Event	2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012 - Istanbul, Turkey Duration: 26 Aug 2012 → 29 Aug 2012

Publication series

Name	Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012

Conference

Conference	2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012
Country/Territory	Turkey
City	Istanbul
Period	26/08/12 → 29/08/12

Keywords

Community detection
Document clustering
Early fusion
Late fusion

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Wang, MJ,Morrison, D,Hayes, C

Access to Document

10.1109/ASONAM.2012.203

Cite this

HAYES, CONOR. (2012). Early and late fusion methods for the automatic creation of Twitter lists. In 2012 IEEE ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM) (pp. 1177-1182). (Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012). https://doi.org/10.1109/ASONAM.2012.203

@inproceedings{b4a08cfc493d498bb6172c6a052367ec,

title = "Early and late fusion methods for the automatic creation of Twitter lists",

abstract = "Twitters lists feature allows users to organize their followees into groups for easier information access and filtering. However, the percentage of users using lists is very small and most existing lists have only a few members. One reason for this may be that curating groups of Twitter users is a time consuming task. In this paper, we propose early and late fusion methods for automatically clustering followees using both graph structure and tweet content. We evaluate our approaches using ground-truth Twitter lists crawled via the Twitter API and show that the late fusion method outperforms both the baselines and the early fusion method.",

keywords = "Community detection, Document clustering, Early fusion, Late fusion",

author = "CONOR HAYES",

year = "2012",

month = aug,

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doi = "10.1109/ASONAM.2012.203",

language = "English (Ireland)",

isbn = "9780769547992",

series = "Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012",

pages = "1177--1182",

booktitle = "2012 IEEE ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM)",

note = "2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012 ; Conference date: 26-08-2012 Through 29-08-2012",

}

HAYES, CONOR 2012, Early and late fusion methods for the automatic creation of Twitter lists. in 2012 IEEE ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM). Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, pp. 1177-1182, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, Istanbul, Turkey, 26/08/12. https://doi.org/10.1109/ASONAM.2012.203

Early and late fusion methods for the automatic creation of Twitter lists. / HAYES, CONOR.
2012 IEEE ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM). 2012. p. 1177-1182 (Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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PY - 2012/8/1

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N2 - Twitters lists feature allows users to organize their followees into groups for easier information access and filtering. However, the percentage of users using lists is very small and most existing lists have only a few members. One reason for this may be that curating groups of Twitter users is a time consuming task. In this paper, we propose early and late fusion methods for automatically clustering followees using both graph structure and tweet content. We evaluate our approaches using ground-truth Twitter lists crawled via the Twitter API and show that the late fusion method outperforms both the baselines and the early fusion method.

AB - Twitters lists feature allows users to organize their followees into groups for easier information access and filtering. However, the percentage of users using lists is very small and most existing lists have only a few members. One reason for this may be that curating groups of Twitter users is a time consuming task. In this paper, we propose early and late fusion methods for automatically clustering followees using both graph structure and tweet content. We evaluate our approaches using ground-truth Twitter lists crawled via the Twitter API and show that the late fusion method outperforms both the baselines and the early fusion method.

KW - Community detection

KW - Document clustering

KW - Early fusion

KW - Late fusion

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DO - 10.1109/ASONAM.2012.203

M3 - Conference Publication

SN - 9780769547992

T3 - Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012

SP - 1177

EP - 1182

BT - 2012 IEEE ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM)

T2 - 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012

Y2 - 26 August 2012 through 29 August 2012

ER -

Early and late fusion methods for the automatic creation of Twitter lists

Abstract

Publication series

Conference

Keywords

Authors (Note for portal: view the doc link for the full list of authors)

Access to Document

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Cite this