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All Journal Indonesian Journal of Information System JOURNAL OF APPLIED INFORMATICS AND COMPUTING The Indonesian Journal of Computer Science
Revesai, Zvinodashe
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Information Cascades in Professional Networks: A Graph-Based Study of LinkedIn Post Engagement Revesai, Zvinodashe; Mutanga, Murimo Bethel; Chani, Tarirai
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.10212

Abstract

Information cascades in professional networks represent a critical mechanism for knowledge transfer and career development, yet their dynamics remain poorly understood. This study presents a comprehensive empirical analysis of information cascades in LinkedIn professional networks, focusing on computer science professionals and academic-industry knowledge transfer. We analysed 50,000 CS professionals, 500,000 connections, and 100,000 technical posts over 12 months using a Modified Independent Cascade Model that incorporates professional context factors. Our analysis reveals that hybrid professionals, representing only 25% of the network, account for 52% of inter-cluster connections and achieve 2.8× higher cross-domain transfer rates. Educational content demonstrates superior cross-domain appeal (0.47) compared to research papers (0.23), with optimal posting windows between 10 AM-12 PM achieving 23% higher cross-domain engagement. Bridge users in academic-industry transitions show significantly higher transfer effectiveness (Cohen's d = 1.47, p < 0.001). These findings provide evidence-based strategies for optimising professional networking and knowledge dissemination across academic and industry domains
Why Generative AI Will Not Replace University Lecturers: A Human-Centred Perspective Murimo Bethel Mutanga; Revesai, Zvinodashe; Samuel Chikasha; Tarirai Chani
The Indonesian Journal of Computer Science Vol. 14 No. 6 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i6.5037

Abstract

The integration of artificial intelligence (AI) into higher education has prompted widespread speculation about the potential obsolescence of university lecturers. While AI systems demonstrate impressive capabilities in content delivery, assessment, and personalisation, this research critically examines the assumption that they can replace human educators. This issue is particularly complex, given that effective higher education involves not only the transmission of information but also the development of cognitive, emotional, ethical, and social aspects. Despite advances in AI technologies, current discourse often neglects the irreplaceable human functions that underpin transformative education. Addressing this gap, the study adopts a human-centred framework to investigate essential lecturer capabilities, limitations of AI systems, and the design of optimal human-AI collaboration. Using qualitative methods, including stakeholder interviews and comparative institutional analysis, the findings reveal ten educational domains where human capabilities remain indispensable, from emotional support and ethical mentorship to adaptive teaching and research integration. AI excels in routine, scalable tasks, yet lacks empathy, moral agency, and contextual understanding. Consequently, this research proposes a collaborative model in which AI enhances rather than replaces lecturers, thereby supporting educational quality and student development. The findings have significant implications for institutional policy, faculty development, and the ethical integration of AI in education, affirming the enduring and transformative role of human educators in the digital age.
Exploring Gender-Based Preferences in TikTok Influencer Following Among Students at University of Technology Mthembu , Khulula Blessing; Poyise, Xolisa Philip; Motsilili, Phomolo; Mutanga, Murimo Bethel; Revesai, Zvinodashe
Indonesian Journal of Information Systems Vol. 8 No. 2 (2026): February 2026
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v8i2.12888

Abstract

The rise of short-form video platforms has fundamentally changed patterns of digital communication, with TikTok becoming a dominant influence in youth media consumption. However, gender-specific preferences in influencer choice remain underexamined, especially within African university settings. Based on Uses and Gratifications Theory (UGT), this qualitative exploratory study investigates how gender affects TikTok influencer following behaviours among 103 South African university students who were active TikTok users. Data were gathered via open-ended online questionnaires and analysed through Qualitative Content Analysis with dual-researcher coding to ensure reliability. Significant gender-based differences appeared in influencer preferences and motivational factors: male students (61% of the sample) mainly followed educational, motivational, and entrepreneurial influencers, seeking cognitive gratifications related to skill development and career prospects, while female students (39% of the sample) inclined towards lifestyle, beauty, and fashion influencers, prioritising affective gratifications like emotional resonance, identity exploration, and self-expression. Despite these differences, both groups valued influencer authenticity, relatability, and expertise over follower count or popularity metrics. The findings extend UGT application to algorithm-driven, short-form video platforms and show how gender influences digital media gratification-seeking behaviours, revealing TikTok as a multifaceted tool for identity building, emotional validation, and aspirational learning rather than just entertainment. These results inform gender-sensitive digital marketing, educational technology integration, and culturally relevant content creation for African youth markets, allowing universities to use these insights for more effective student engagement on social media. The study's focus on a single institution and its cross-sectional design limit broad applicability, indicating that future research should explore long-term influencer relationships and cross-cultural comparisons across African educational contexts. Keywords: Gender differences, social media, influencer preferences, TikTok, university students, Uses and Gratifications Theory
Co-Authors Chani, Tarirai Motsilili, Phomolo Mthembu , Khulula Blessing Murimo Bethel Mutanga Mutanga, Murimo Bethel Poyise, Xolisa Philip Samuel Chikasha Tarirai Chani