When Internet Really Connects Across Space: Communities of Software Developers in Vkontakte Social Networking Site

Koltsova, Olessia; Koltсov, Sergei; Sinyavskaya, Yadviga

doi:10.1007/978-3-319-67256-4_34

Cited by 2 publications

(1 citation statement)

References 20 publications

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“…При этом на смену первым попыткам изучения социальноэкономических процессов по данным об упоминаниях географических названий [Mamatov, Samson, 2009;Agibetova, Samson, 2008;Замятина, Пилясов, 2013] пришли мощные инструменты изучения «больших данных». В сфере изучения социальных сетей развиваются похожие процессы, однако большая часть работ пока все же выполняется на сравнитель но небольших «участках» данных [Koltsova, Koltсov, Sinyavskaya, 2017;Takhteyev, Gruzd, Wellman, 2012].…”

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Virtual geography of virtual population

Zamyatina¹,

Yashunsky²

2018

THE MONITORING OF PUBLIC OPINION

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Virtual geography of virtual population

Zamyatina¹,

Yashunsky²

2018

THE MONITORING OF PUBLIC OPINION

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The role of strategic online engagement and content curation in professional branding and career advancement on social media platforms

Ustin,

Udina,

Grib

et al. 2024

ONLINE J COMMUN MEDIA TECHNOL

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This study investigates role of social media user engagement metrics in predicting career success likelihoods using supervised machine learning techniques. With platforms like LinkedIn and VKontakte becoming pivotal for networking and advancement, user statistics have emerged as potential indicators of professional capability. However, research questions metric reliability considering impression management tactics and biases. While prior studies examined limited activity features, this analysis adopts a robust CatBoost model to gauge career success prediction from multifaceted social data combinations. The study utilizes user profiles of over 17,000 on a major Russian platform. Individuals are categorized by an algorithm accounting for factors like salaries, experience, and employment status. User statistics spanning engagement, content sharing, popularity, and profile completeness provide model inputs. Following comparative evaluation, CatBoost achieved superior performance in classification accuracy, precision, recall and ROC AUC score. Analysis of SHapley Additive exPlanations values provides explanatory modeling insights into influential metrics, thresholds, and patterns. Results reveal subscribers, reposts and interest pages as highly impactful, suggesting that influence and content resonance predict success better than sheer visibility indicators like multimedia volumes. Findings also point to optimal engagement ranges beyond which career prediction gains diminish. Additionally, profile completeness and regular posting are positive to a limit, while likes to have negligible effects. The study contributes more holistic, data-driven visibility into effective social media conduct for career advancement. It advocates prioritizing network cultivation, tactical self-presentation, shareable narratives and reciprocal relationships over metrics gaming. Findings largely validate strategic communication theory around impression management and relationship-building.

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When Internet Really Connects Across Space: Communities of Software Developers in Vkontakte Social Networking Site

Cited by 2 publications

References 20 publications

Virtual geography of virtual population

Virtual geography of virtual population

The role of strategic online engagement and content curation in professional branding and career advancement on social media platforms

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