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Can We Trust the Health Information We Find Online?: Identification of Influential Nodes

Can We Trust the Health Information We Find Online?: Identification of Influential Nodes

Leila Weitzel, Paulo Quaresma, Jose Palazzo Moreira de Oliveira, Danilo Artigas
Copyright: © 2018 |Pages: 21
ISBN13: 9781522528142|ISBN10: 1522528148|EISBN13: 9781522528159
DOI: 10.4018/978-1-5225-2814-2.ch017
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MLA

Weitzel, Leila, et al. "Can We Trust the Health Information We Find Online?: Identification of Influential Nodes." Graph Theoretic Approaches for Analyzing Large-Scale Social Networks, edited by Natarajan Meghanathan, IGI Global, 2018, pp. 293-313. https://doi.org/10.4018/978-1-5225-2814-2.ch017

APA

Weitzel, L., Quaresma, P., Moreira de Oliveira, J. P., & Artigas, D. (2018). Can We Trust the Health Information We Find Online?: Identification of Influential Nodes. In N. Meghanathan (Ed.), Graph Theoretic Approaches for Analyzing Large-Scale Social Networks (pp. 293-313). IGI Global. https://doi.org/10.4018/978-1-5225-2814-2.ch017

Chicago

Weitzel, Leila, et al. "Can We Trust the Health Information We Find Online?: Identification of Influential Nodes." In Graph Theoretic Approaches for Analyzing Large-Scale Social Networks, edited by Natarajan Meghanathan, 293-313. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2814-2.ch017

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Abstract

The Internet is becoming increasingly an important source of information for people who are seeking healthcare information. Users do so without professional guidance and may lack sufficient knowledge and training to evaluate the validity and quality of health web content. This is particularly problematic in the era of Web 2.0. Hence, the main goal of this research is to propose an approach to infer user reputation based on social interactions. Reputation is a social evaluation towards a person or a group of people. The results show that our rank methodology and the network topology succeeded in achieving user reputation. The results also show that centrality measures associated with the weighted ties approach suitably controls suitably the ranking of nodes.

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