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Evaluating Twitter Influence Ranking with System Theory
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In this paper we analyze and present an important aspect of Twitter platform concerning the Influence of a user. Building on existing work regarding influential ...
Evaluating Twitter Influence Ranking with System Theory
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由 G Drakopoulos 著作2016被引用 33 次 — This paper examines five social influence metrics designed especially for Twitter and their implementation in a Java client retrieving network information from ...
Evaluating Twitter Influence Ranking with System Theory
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This paper examines five social influence metrics designed especially for Twitter and their implementation in a Java client retrieving network information from ...
[PDF] Evaluating Twitter Influence Ranking with System Theory
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Examination of seven first-order influence metrics for Twitter, a strategy for deriving their higher-order counterparts, and a probabilistic evaluation ...
Georgios Drakopoulos
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Defining and evaluating Twitter influence metrics: A higher-order approach in Neo4j ... Evaluating Twitter Influence Ranking with System Theory. G Drakopoulos, A ...
Measuring user influence in real-time on twitter using ...
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由 MAU Hasan 著作2024被引用 3 次 — This study presents the BehaviourRank Influence (BRI) method, which focuses on evaluating Twitter user influence by analysing behavioural characteristics.
An exploratory study of Twitter metrics for measuring user ...
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由 M Zhang 著作2023被引用 6 次 — This study examined relationships between a composite influence measure of Twitter and fundamental social media metrics using a sample of tweets from a multi- ...
Defining And Evaluating Twitter Influence Metrics: A Higher ...
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2017年10月2日 — This article examines seven first order influence metrics for Twitter, defines a strategy for deriving their higher order counterparts, and ...
Quantifying Influence on Twitter
SNAP: Stanford Network Analysis Project
https://snap.stanford.edu › bakshy11influencers
SNAP: Stanford Network Analysis Project
https://snap.stanford.edu › bakshy11influencers
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由 E Bakshy 著作2011被引用 2857 次 — ABSTRACT. In this paper we investigate the attributes and relative influ- ence of 1.6M Twitter users by tracking 74 million diffusion.
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Integrated twitter analysis to distinguish systems thinkers at ...
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由 H Pirim 著作2023 — This study aims to reveal systems thinking levels of experts from their Twitter accounts represented as a network.
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