Acta Informatica Pragensia X:X | DOI: 10.18267/j.aip.111273

Analyzing Social Media Data for Recruiting Purposes

Lucie Böhmová1, David Chudán2
1 Department of Systems Analysis, Faculty of Informatics and Statistics, University of Economics, Prague, W. Churchill Sq. 4, 130 67 Prague 3, Czech Republic
2 Department of Information and Knowledge Engineering, Faculty of Informatics and Statistics, University of Economics, Prague, W. Churchill Sq. 4, 130 67 Prague 3, Czech Republic

Social media networks are tools that recruiters can utilize during a recruitment process. Most importantly, social media networks can be used in conjunction with applications capable of downloading information about their potential candidates. The aim of this article is to present a creation process of a model that could be helpful in recruiting area. A crucial part of this model is application software that downloads user’s data, particularly from Facebook profiles. This model should propose appropriate analytical methods for data processing. The output of this article is employee recruitment model that can be used as a guide to utilize the potential of social media networks by HR professionals. Test run of this model on our population sample showed prediction accuracy of 68 % to 84 %.

Klíčová slova: Cluster Analysis, Data Mining, Model, SNA, Social media networks

Přijato: 26. září 2017; Zveřejněno online: 26. září 2017

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