Proposal of an index of the influence of contents in Twitter (Influ@RT)
DOI:
https://doi.org/10.54886/scire.v21i1.4139Keywords:
Twitter, Influ@RT, Informetrics, Social networks, Influence of contents, Influence indexesAbstract
Twitter is one of the most popular social networks and the one with the highest increase in its number of users in the last years. Measuring the influence that the information transmitted through the tweets have had in its environment is key to define the importance of the profile that generates them and the audience they can reach. We propose a new index, Influ@RT, which considers several categories of data to determine the scope and influence that their profiles have in the particular field to whom they belong. Their calculation was applied to a field formed by the profiles that the Spanish university libraries have in this network. Several APIs were used for data collection that are described. The obtained results point to a better definition of the level of influence by the proposed index.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
© 1996- . Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.