The workforce analyzer: group discovery among LinkedIn public profiles

Dai, Kais; Vilas, Ana Fernández; Redondo, Rebeca P. Díaz

doi:10.1007/s12652-017-0484-6

Cited by 9 publications

(7 citation statements)

References 31 publications

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“…In LinkedIn, Dai et al (2018) implemented unsupervised learning and SVM to classify profiles according to their professional background, to find the trends of the workforce professional orientation from an online viewpoint. In the same way, Piedboeuf et al (2019) were able to extract the personality from profiles with reliable precision, using two personality models in a way to understand employees or co-workers better: Myer-Briggs (also known as MBTI) and DiSC (dominance, influence, steadiness, and conscientiousness).…”

Section: Practical Implications In Twitter and Linkedinmentioning

confidence: 99%

“…K-means clustering has computational advantages for large datasets, but it has to be defined as the number of clusters (Steinley, 2006). Utilising the K-means algorithm to discover groups in LinkedIn public profiles, Dai et al (2018) describes that this algorithm is useful in "in determining the point where the graph that represents the number of cluster versus the percentage of variance explained by clusters starts to rise slower." Furthermore, this algorithm implementation is performed through the partition of disjoint K clusters after several iterations grouped by centroids.…”

Section: K-meansmentioning

confidence: 99%

“…As part of the communication channel of companies who are implementing OI strategy, social media is a critical way to obtain valuable information regarding the opinion of these companies, many of them with a presence on LinkedIn. About this social media platform, Dai et al (2018) pointed out that "it is distinctly known as a powerful professional networking tool that enables its users to display their curricular information and to establish connections with other professionals." However, academic research has paid little attention to the relation between OI and social media (Mount & Martinez, 2014), resulting in a limited understanding of how organisations can be benefited from the application of opinion mining across the innovation process.…”

Section: Open Innovation and Social Mediamentioning

confidence: 99%

“…Second, LinkedIn, which is a professional social media and it is distinctly known as a powerful networking tool for companies and people related to the job market that enables its users to display their curricular information and to establish connections with other professionals (Dai et al, 2018). The companies' interaction in LinkedIn has become an excellent channel to connect clients with organisations or users, providing a suitable platform to understand the behaviour of their users and their discourse towards determined topics.…”

Section: Introductionmentioning

confidence: 99%

“…En segundo lugar, LinkedIn, que es una red social profesional y es ampliamente conocida como una poderosa herramienta de articulación para empresas y personas relacionadas con el mercado laboral que permite a sus usuarios mostrar su información curricular y establecer conexiones con otros profesionales (Dai et al, 2018). La interacción de las empresas en LinkedIn se ha convertido en un excelente canal para conectar clientes con organizaciones o usuarios, proporcionando una plataforma adecuada para entender el comportamiento de sus usuarios y su discurso hacia determinados temas.…”

Section: Introductionunclassified

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Quantification strategy in social media: Opinion analysis and indicators development in different contexts

Riquelme¹,

N²

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I would like to thank all my friends and doctoral colleagues of the UPM-Industriales, for your support, accompaniment, collaboration, the adventures that we shared and camaraderie, with special mention to Dr. Xiaochen Zheng, an inspiring scholar and a brother, Dr. Ermal Hetemi, an extraordinary companion and a true friend, Dr. Gong Bing, a friend and a brilliant scholar. Thanks to my Batán gang, Dr. Shengjing Sun, a noble and bright person and my dear Dr. Ebru Susur, for always been there, pushing and helping me to persevere in my path. A special mention to Jacob Salomonsson, Juliana Krieger, and Dr. Ilaria Di Sanctis (and Jorge) for your sincere friendship, the good moments, and your support since we met in Joaquin´s lab. You all guys are my Madrid family.I would like to recognise the support and friendship of the EDIM community, in especial to Dr. Isaac Lemus-Aguilar for always been supportive and thank you for paving the way to new lines of research, your recommendations and your wise advice. Dr. Hossein Zarei, thank you for your valuable suggestions and your unconditional help. Thanks, Dr. Roya Derakhshanalavijeh, Dr. Frano Barbic, and Dr. Claudia Manca, for your sincere friendship and support.In addition, I am also grateful to Fátima and Tia Ninfa González for your support before and during my stay in Madrid. Your welcoming and kindness were decisive in my first months in Spain.Words cannot convey all my appreciation and sincere thankfulness to those people who supported me during my academic stay around Europe, with special mention to Antonia Starck, a marvellous person for her dedicated support in Berlin and the family Trappolini-Dávalos in Rome. Sofia, you have been like my second mother during the lockdown period, thanks for your prayers and generosity, and my lasting gratitude to you, to Carlo and your lovely daughters Maria Grazia and Giulia.iii Special gratitude goes to my family for your understanding and unconditional love. You all were my motivation to continue and persist in finishing my doctoral study, and this achievement is to you. In particular, to my mother Miriam Elizabeth, for your prayers and endless support. To my father, José Nicanor, thank you for your prayers and for nurturing my interest in books and science: you exemplify the model of a person that I want to be. To my wonderful siblings Montserrat, Clara, Bely, David and Guido, thank you for your true love and support always.Last but not least, I want to thank my beloved wife and friend, Vanessa, for being always by my side and supporting me through its end. I have for her only love, eternal gratitude, and infinite tenderness.Finally, I want to thank God for his blessing and for having accompanied us and allowed us to live this unforgettable experience.

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Section: Practical Implications In Twitter and Linkedinmentioning

confidence: 99%

Section: K-meansmentioning

confidence: 99%