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Authors: Georgios Drakopoulos ; Andreas Kanavos and Athanasios Tsakalidis

Affiliation: University of Patras, Greece

Keyword(s): Functional Metrics, Structural Metrics, Graph Databases, Higher Order Data, Influence Ranking, Neo4j.

Related Ontology Subjects/Areas/Topics: Internet Technology ; System Integration ; Web Information Systems and Technologies

Abstract: A considerable part of social network analysis literature is dedicated to determining which individuals are to be considered as influential in particular social settings. Most established algorithms, such as Freeman and Katz- Bonacich centrality metrics, place emphasis on various structural properties of the social graph. Although this makes centrality metrics generic enough to be applied in virtually any setting, they are oblivious to the functionality of the underlying social network. This paper examines five social influence metrics designed especially for Twitter and their implementation in a Java client retrieving network information from a Neo4j server. Additionally, a sceheme is proposed for evaluating the performance of an influence ranking based on estimating the exponent of a Zipf model fitted to the ranking score.

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Paper citation in several formats:
Drakopoulos, G.; Kanavos, A. and Tsakalidis, A. (2016). Evaluating Twitter Influence Ranking with System Theory. In Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-186-1; ISSN 2184-3252, SciTePress, pages 113-120. DOI: 10.5220/0005811701130120

@conference{webist16,
author={Georgios Drakopoulos. and Andreas Kanavos. and Athanasios Tsakalidis.},
title={Evaluating Twitter Influence Ranking with System Theory},
booktitle={Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2016},
pages={113-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005811701130120},
isbn={978-989-758-186-1},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Evaluating Twitter Influence Ranking with System Theory
SN - 978-989-758-186-1
IS - 2184-3252
AU - Drakopoulos, G.
AU - Kanavos, A.
AU - Tsakalidis, A.
PY - 2016
SP - 113
EP - 120
DO - 10.5220/0005811701130120
PB - SciTePress

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