OLAP4Tweets: Multidimensional Modeling of Tweets

Kraiem, Maha Ben; Feki, Jamel; Khrouf, Kaïs; Ravat, Franck; Teste, Olivier

doi:10.1007/978-3-319-23201-0_9

Cited by 2 publications

(1 citation statement)

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“…In addition, future research could also consider complementing the analyzes carried out in the present study with other analytical approaches. A work like the present one could be complemented, for example, by using network centrality analysis [42] or OLAP (On-Line Analytical Processing) techniques [64,65].…”

Section: Limitations and Further Researchmentioning

confidence: 99%

The Efficiency of Social Network Services Management in Organizations. An In-Depth Analysis Applying Machine Learning Algorithms and Multiple Linear Regressions

Matosas-López¹,

Romero-Ania²

2020

Applied Sciences

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The objective of this work is to detect the variables that allow organizations to manage their social network services efficiently. The study, applying machine learning algorithms and multiple linear regressions, reveals which aspects of published content increase the recognition of publications through retweets and favorites. The authors examine (I) the characteristics of the content (publication volumes, publication components, and publication moments) and (II) the message of the content (publication topics). The research considers 21,771 publications and thirty-nine variables. The results show that the recognition obtained through retweets and favorites is conditioned both by the characteristics of the content and by the message of the content. The recognition through retweets improves when the organization uses links, hashtags, and topics related to gender equality, whereas the recognition through favorites increases when the organization uses original tweets, publications between 8:00 and 10:00 a.m. and, again, gender equality related topics. The findings of this research provide new knowledge about trends and patterns of use in social media, providing academics and professionals with the necessary guidelines to efficiently manage these technologies in the organizational field.

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Section: Limitations and Further Researchmentioning

confidence: 99%