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Title:
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MEASURING MESSAGE PROPAGATION AND USER INFLUENCE IN TWITTER DATA |
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Author(s):
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Vishali Narayana, Ashwin Kumar TK and KM George |
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ISBN:
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978-989-8533-69-2 |
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Editors:
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Pedro Isaías and Hans Weghorn |
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Year:
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2017 |
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Edition:
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Single |
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Keywords:
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Information diffusion; User influence; Topic potential; Degree of Influence; Twitter |
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Type:
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Full Paper |
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First Page:
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230 |
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Last Page:
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238 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Twitter data has potentially unlimited value and facilitates information diffusion at an exponential rate. Twitter also aids users with a common interest to create a network. Twitter, being a popular micro-blogging network provides an effective way to measure information diffusion in terms of speed, strength and user influence. This paper is based on previous works on models related to topic (information) diffusion and user influence. A topic is defined by a set of keywords. This paper concentrates on the implementation of algorithms for computation of diffusion of a topic in Twitter. The degree of influence of the users who tweet on the topic is also addressed. We have presented two different approaches to compute user influence based on potential of a topic. We compare two diffusion models proposed in the literature, namely potentials and connections. For testing and empirical analyses we gather and analyze tweets related to flu, food poisoning, and politics. |
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