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Journal articles on the topic 'Academic social networks'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Sivoronova, Jevgenija, Aleksejs Vorobjovs, and Vitālijs Raščevskis. "Academics’ Epistemological Attitudes towards Academic Social Networks and Social Media." Philosophies 9, no. 1 (2024): 18. http://dx.doi.org/10.3390/philosophies9010018.

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Academic social networks and social media have revolutionised the way individuals gather information and express themselves, particularly in academia, science, and research. Through the lens of academics, this study aims to investigate the epistemological and psychosocial aspects of these knowledge sources. The epistemological attitude model presented a framework to delve into and reflect upon the existence of knowledge sources, comprising subjective, interactional, and knowledge dimensions. One hundred and twenty-six university academics participated in this study, including lecturers and res

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Boston, Ian. "Racing towards academic social networks." On the Horizon 17, no. 3 (2009): 218–25. http://dx.doi.org/10.1108/10748120910993240.

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Arif, Tasleem. "The Mathematics of Social Network Analysis: Metrics for Academic Social Networks." International Journal of Computer Applications Technology and Research 4, no. 12 (2015): 889–93. http://dx.doi.org/10.7753/ijcatr0412.1003.

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Verhees, Samira. "Social networks for academics." Journal of the Field Linguists Society 2024, no. 1 (2024): https://opling.github.io/journal/. https://doi.org/10.5281/zenodo.10611237.

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Academic social networks are convenient tools to enhance the visibility of your research and to stay updated on what colleagues are doing. This article provides an overview of the key features of the two main platforms (Academia.edu and ResearchGate), and discusses some of their drawbacks and possible alternatives.

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Chen, Po-Yen. "Academic social networks and collaboration patterns." Library Hi Tech 38, no. 2 (2019): 293–307. http://dx.doi.org/10.1108/lht-01-2019-0026.

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Purpose This study attempts to use a new source of data collection from open government data sets to identify potential academic social networks (ASNs) and defines their collaboration patterns. The purpose of this paper is to propose a direction that may advance our current understanding on how or why ASNs are formed or motivated and influence their research collaboration. Design/methodology/approach This study first reviews the open data sets in Taiwan, which is ranked as the first state in Global Open Data Index published by Open Knowledge Foundation to select the data sets that expose the g

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Arif, Tasleem. "Mining and Analyzing Academic Social Networks." International Journal of Computer Applications Technology and Research 4, no. 12 (2015): 878–83. http://dx.doi.org/10.7753/ijcatr0412.1001.

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Wankhade, Vaishali Yashwant, and Sapna Dattatre Kamble. "Social Networks Impact on Academic Libraries." International Journal of Research in Library Science 7, no. 4 (2021): 14. http://dx.doi.org/10.26761/ijrls.7.4.2021.1427.

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Ovadia, Steven. "ResearchGate and Academia.edu: Academic Social Networks." Behavioral & Social Sciences Librarian 33, no. 3 (2014): 165–69. http://dx.doi.org/10.1080/01639269.2014.934093.

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Jordan, Katy. "Academics’ online connections." Proceedings of the International Conference on Networked Learning 10 (May 9, 2016): 414–21. http://dx.doi.org/10.54337/nlc.v10.8900.

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Academic social networking sites (SNS), such as Academia.edu and ResearchGate, seek to bring the benefits of online social networking to academics' professional lives. Online academic social networking offers the potential to revolutionise academic publishing, foster novel collaborations, and empower academics to develop their professional identities online. However, the role that such sites play in relation to academic practice and other social media is not well understood at present. Arguably, the defining characteristic of academic social networking sites is the connections formed between p

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Tauginienė, Loreta, and Rima Kalinauskaitė. "Participation of doctoral students in online social networks." Studies in Graduate and Postdoctoral Education 9, no. 2 (2018): 144–64. http://dx.doi.org/10.1108/sgpe-d-18-00002.

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Purpose This paper aims to examine the use of online social networks by doctoral students. Design/methodology/approach A quantitative online survey was conducted – 448 doctoral students from 15 universities and 11 research institutes in Lithuania were asked about their participation in both academic and non-academic online social networks. Findings The results show that despite efforts to link academics to society, doctoral students are not supported by universities/research institutes nor are doctoral students trained for this purpose, including regarding such threats as offensive posts. Addi

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Cecchini, Mathilde, Maria Lehmann Nielsen, and Ea Høg Utoft. "Gender Dynamics in Academic Networks - a Narrative Review." Kvinder, Køn & Forskning, no. 1-2 (July 30, 2019): 86–98. http://dx.doi.org/10.7146/kkf.v28i1-2.116119.

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Progress towards gender balance among senior faculty in Danish academia remains slow. Although networks are widely recognized as key to career success, studies on the influence of gender on network dynamics and career advancement in academia are scarce. Until now, scholarship has engaged with the topic of gender and networks in organizations through two co-existing, while unrelated, streams of research, namely the social networks literature and the gendering networks literature. In this narrative review, we ask the following question: What characterizes the social networks literature and the g

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Suleiman, Muhammad Muhammad, and Shitu Sani. "Social networks as integral of ICT: a predictor of academic procrastination." Kampala International University Interdisciplinary Journal of Humanities and Social Sciences 1, no. 2 (2020): 229–41. http://dx.doi.org/10.59568/kijhus-2020-1-2-16.

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Internet applications simultaneously are a driving force to the cultural dividend of social networks among the students of higher education. Social networks as an interactive form of networks that allow the user to with and publish to each other, generally utilizing the internet provide a ground for multiple purposes activities ranging from pleasure, business, official and academic purposes. This paper intends to discuss the other side of social networks as it influences the prediction of academic procrastination among the students of higher education. Students' tendency for irrational task de

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Fernández-Pérez, Virginia, Patricia Esther Alonso-Galicia, María del Mar Fuentes-Fuentes, and Lazaro Rodriguez-Ariza. "Business social networks and academics' entrepreneurial intentions." Industrial Management & Data Systems 114, no. 2 (2014): 292–320. http://dx.doi.org/10.1108/imds-02-2013-0076.

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Purpose – This study analyses the role of social networks and their effects on academics' entrepreneurial intentions (AEI), from an academic cognitive perspective. Specifically, the paper investigates how business (distinguishing between industrial and financial links) and personal social networks, through opportunity-relevant information and support, could influence academics' intentions to start a business venture on the basis of their research knowledge. The paper examines the mediator roles of entrepreneurial attitudes (EA) and self-efficacy on opportunity recognition (SOR) as important ps

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Andryani, Ria, Edi Surya Negara, Rezki Syaputra, and Deni Erlansyah. "Analysis of Academic Social Networks in Indonesia." Qubahan Academic Journal 3, no. 4 (2023): 409–21. http://dx.doi.org/10.58429/qaj.v3n4a289.

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Social network analysis to detect communities in social networks is a complex problem, this is due to differences in community definitions and the complexity of social networks. One of the social networks for researchers is the academic social network (ASN). We define the relationships between nodes in ASN into two forms, namely interconnection relationships and interaction relationships. Interconnection relationships are researchers' social relationships that are formed from similarities in discipline between researchers, while interaction relationships are researchers' social relationships t

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Lytras, Miltiadis, Hassan Mathkour, Hassan Abdalla, Cornelio Yanez-Marquez, and de Pablos Patricia Ordóñez. "The Social Media in Academia and EducationResearch R-evolutions and a Paradox: Advanced Next Generation Social Learning Innovation." JUCS - Journal of Universal Computer Science 20, no. (15) (2014): 1987–94. https://doi.org/10.3217/jucs-020-15.

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This editorial presents an evolutionary model for the adoption of Social Media and Social Networks in Academia. It seems that the rapid development of technological infrastructures in the context of social networks had to face inflexible structures in Academic Institutions in the same moment where students in a massive way adopt social networks for different purposes than learning. The evolution of social media research in the last five years is significant. A number of issues related to the formation, development and adoption of social networks in different domains have been investigated prom

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Fang, Jinjing, and Gavin T. L. Brown. "Academic Success at Social Costs: An Exploratory Study on Social Networks of Chinese Students under Academic Streaming." European Journal of Investigation in Health, Psychology and Education 14, no. 1 (2024): 164–80. http://dx.doi.org/10.3390/ejihpe14010011.

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In universities that require students to reside in dormitories, there are two types of social networks—study/classroom-based and social/dorm room-based. The academic streaming system may disrupt study/classroom connections, but its impact on students’ social networks is unknown. Using self-reported surveys, this study examines ego network measures of network sizes, turnover, multiplexity, and diversity among 382 students (44% female, 56% male). Surveys were administered before and after the university employed a first-semester grade-point average to demote or promote students into an honours c

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Maydangalieva, Zhumagul Aldiyarovna, Svetlana Ermekbaevna Doszhanova, Nurgul Moldabaevna Abisheva, and G. Nazarova. "SOCIAL NETWORKS AS REFLECTION OF ACADEMIC PERFORMANCE." BULLETIN 6, no. 376 (2018): 95–103. http://dx.doi.org/10.32014/2018.2518-1467.32.

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Hoang, Dinh Tuyen, Ngoc Thanh Nguyen, Van Cuong Tran, and Dosam Hwang. "Research collaboration model in academic social networks." Enterprise Information Systems 13, no. 7-8 (2018): 1023–45. http://dx.doi.org/10.1080/17517575.2018.1556812.

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Fuentes Cancell, Dieter Reynaldo, Odiel Estrada Molina, and Nilda Delgado Yanes. "Las redes sociales digitales: una valoración socioeducativa. Revisión sistemática." Revista Fuentes 1, no. 23 (2021): 41–52. http://dx.doi.org/10.12795/revistafuentes.2021.v23.i1.11947.

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The future and already current industrial revolution 4.0 demand the introduction of a digital transformation in the higher education contributing to the formation of competent professionals, for which, they are evidenced in the pedagogies and emergent technologies, an increase of didactic experiences in the use of the digital social networks. In this research a systematic review to identify current trends in the use of online social networks for educational purposes are performed. PRISMA protocol was used and analyzed 79 studies present in the database Scopus. In the systematic review, the fol

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Al-Muomen, Nujoud, Abdus Sattar Chaudhry, and Oroba Al-Othinah. "Perceptions regarding academic social networks for scholarly communications." Global Knowledge, Memory and Communication 69, no. 8/9 (2020): 597–611. http://dx.doi.org/10.1108/gkmc-01-2020-0007.

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Purpose This study aims to investigate the perceptions of academics regarding the use and usefulness of academic social networks (ASNs) in the scholarly communication practices of faculty members in Kuwaiti Universities. Design/methodology/approach The study was conducted through a survey. In total, 100 faculty members from the disciplines of business administration, humanities and social sciences from three universities in Kuwait filled in an online questionnaire. The statistical feature of the Web-based tool was used for data analysis. Findings The results show that most faculty members are

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Sánchez-Teba, Eva M., Mercedes Rodríguez-Fernández, and Ana I. Gaspar-González. "Social Networks and Open Innovation: Business Academic Productivity." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 2 (2021): 158. http://dx.doi.org/10.3390/joitmc7020158.

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Is there any type of relationship between the academic productivity of business researchers and their social networking activity? What does this mean in terms of open innovation? With these objectives, in this paper we have focused on the Technology Acceptance Model and the concept of performativity, filling the gap that exists in the current scientific literature. At the empirical level, we carried out a review of 211 articles from the Web of Science (SSCI), obtaining a total set of 12,939 data points. Our statistical model has showed a clear symbiotic relationship between productivity in Goo

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Goldstein, Scott. "Academic Social Networking Sites are Smaller, Denser Networks Conducive to Formal Identity Management, Whereas Academic Twitter is Larger, More Diffuse, and Affords More Space for Novel Connections." Evidence Based Library and Information Practice 15, no. 1 (2020): 226–28. http://dx.doi.org/10.18438/eblip29687.

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A Review of: Jordan, K. (2019). Separating and merging professional and personal selves online: The structure and processes that shape academics’ ego-networks on academic social networking sites and Twitter. Journal of the Association for Information Science and Technology, 70(8), 830-842. https://doi.org/10.1002/asi.24170 Abstract Objective – To examine the structure of academics’ online social networks and how academics understand and interpret them. Design – Mixed methods consisting of network analysis and semi-structured interviews. Setting – Academics based i

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Cenková, Renáta, and William Steingartner. "Use of Internet Social Networks in Academic Environment." Journal of information and organizational sciences 44, no. 2 (2020): 275–95. http://dx.doi.org/10.31341/jios.44.2.5.

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Numerous national and private Slovak universities and colleges are currently confronted with a state, where the offer of study programmes exceeds its demand - students’ interests. This paper describes reasons for this situation but mainly it points out the fact that the advent of information and communication technologies significantly intervened in different areas of life and all types of communication. The implementation of some tools of internet social networks in the academic environment is, therefore, essential. In addition to the theoretical background, the paper also includes case study

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K, Sobha Rani, Raju KVSVN, and V. Valli Kumari. "Application of Clustering to Analyze Academic Social Networks." International journal of Web & Semantic Technology 4, no. 2 (2013): 9–20. http://dx.doi.org/10.5121/ijwest.2013.4202.

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Amjad, Tehmina, Ali Daud, and Naif Radi Aljohani. "Ranking authors in academic social networks: a survey." Library Hi Tech 36, no. 1 (2018): 97–128. http://dx.doi.org/10.1108/lht-05-2017-0090.

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Purpose This study reviews the methods found in the literature for the ranking of authors, identifies the pros and cons of these methods, discusses and compares these methods. The purpose of this paper is to study is to find the challenges and future directions of ranking of academic objects, especially authors, for future researchers. Design/methodology/approach This study reviews the methods found in the literature for the ranking of authors, classifies them into subcategories by studying and analyzing their way of achieving the objectives, discusses and compares them. The data sets used in

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Wan, Huaiyu, Yutao Zhang, Jing Zhang, and Jie Tang. "AMiner: Search and Mining of Academic Social Networks." Data Intelligence 1, no. 1 (2019): 58–76. http://dx.doi.org/10.1162/dint_a_00006.

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AMiner is a novel online academic search and mining system, and it aims to provide a systematic modeling approach to help researchers and scientists gain a deeper understanding of the large and heterogeneous networks formed by authors, papers, conferences, journals and organizations. The system is subsequently able to extract researchers’ profiles automatically from the Web and integrates them with published papers by a way of a process that first performs name disambiguation. Then a generative probabilistic model is devised to simultaneously model the different entities while providing a topi

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Kong, Xiangjie, Yajie Shi, Shuo Yu, Jiaying Liu, and Feng Xia. "Academic social networks: Modeling, analysis, mining and applications." Journal of Network and Computer Applications 132 (April 2019): 86–103. http://dx.doi.org/10.1016/j.jnca.2019.01.029.

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Weintraub, Arlene. "Social networks attempt to spark academic–industry collaborations." Nature Biotechnology 30, no. 10 (2012): 901–2. http://dx.doi.org/10.1038/nbt1012-901.

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Dexter, Darian. "Improve Social and Academic Innovation Through Governance Reform." International Journal of Science and Society 4, no. 3 (2022): 33–40. http://dx.doi.org/10.54783/ijsoc.v4i3.496.

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Governance Reform for Economic and Social Progress. Recent years have seen an increase in the number of research concentrating on interactive forms of governance, perhaps as a response to the growth of governance networks across all levels and policy domains. This study is an effort to further the field of governance studies by investigating the potential of governance networks to promote social and pedagogical advancements through collaboration. The study begins by outlining what governance networks are and then moves on to systematically reviewing the various ideas that attempt to account fo

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Grant, Maria J., Robyn R. Lotto, and Ian D. Jones. "What we can learn from elite academic staff publication portfolios: a social network analysis." Aslib Journal of Information Management 72, no. 4 (2020): 605–24. http://dx.doi.org/10.1108/ajim-10-2019-0300.

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PurposeThe study aims to construct an understanding of professional academic writing network structures to inform organisational strategic investment in academic staff development.Design/methodology/approachLongitudinal social network analysis is used to examine the personal-networks evident in the publication portfolios of a purposive sample of four international academics across each quartile of the SCOPUS defined area of General Nursing's top 100 authors.FindingsTrends in the publication portfolios of elite academics across gender, sector and geographic location are presented. In the first

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Gaughan, Monica, Julia Melkers, and Eric Welch. "Differential Social Network Effects on Scholarly Productivity." Science, Technology, & Human Values 43, no. 3 (2017): 570–99. http://dx.doi.org/10.1177/0162243917735900.

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Academic productivity is realized through resources obtained from professional networks in which scientists are embedded. Using a national survey of academic faculty in Science, Technology, Engineering, and Mathematics (STEM) fields across multiple institution types, we examine how the structure of professional networks affects scholarly productivity and how those effects may differ by race, ethnicity, and gender. We find that network size masks important differences in composition. Using negative binomial regression, we find that both the size and composition of professional networks affect s

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Chakradhar, Kala, Victor Raj, and Arabella Raj. "Modern Social Support Structures: Online Social Networks and their Implications for Social Workers." Advances in Social Work 10, no. 2 (2009): 157–75. http://dx.doi.org/10.18060/198.

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Mapping and assessing social networks and the quality of their social support is a valuable intervention strategy for social workers. These networks have now spread onto the digital realm in the form of Online Social Networks (OSNs). This study investigated the nature of social support provided by such networks to their users in a rural mid-South University (USA) and explored parallels with the current understanding of social support in conventional social networks. A web-based survey administered to college students revealed that users of these online networks were predominantly undergraduate

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Moglen, Daniel. "International Graduate Students: Social Networks and Language Use." Journal of International Students 7, no. 1 (2017): 22–37. http://dx.doi.org/10.32674/jis.v7i1.243.

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The campus climate for international graduate students (IGSs) has been gaining attention in recent years as the number of IGSs in the United States continues to rise. IGSs bring diversity to the campus community and enrich the academic community, but also come to the table with distinct needs, concerns, and experiences. The current study is primarily concerned with how early social and academic experiences affect English learning and academic success. Social networks outside of the student’s cultural background may be difficult to develop, and, therefore, it is not uncommon to see students gra

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Gómez-Aguilar, Marisol, Sergio Roses-Campos, and Pedro Farias-Batlle. "The Academic Use of Social Networks among University Students." Comunicar 19, no. 38 (2012): 131–38. http://dx.doi.org/10.3916/c38-2012-03-04.

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This paper examines the academic use made of the social networks by university students through a survey conducted among a representative sample of students at Universidad de Málaga (Spain) (n=938) and two discussion groups. Given that network consumption has profoundly penetrated the daily routines of the students, the vast communication possibilities of these channels could be considered for educational use in the future despite a predominance of entertainment-related use. We discuss the most suitable networks for academic use, which type of activities may be most widely accepted among the s

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Guerrero, Lugo Manuel Barbosa, and Jairo Jamith Palacios Rozo. "Use and Consumption of Social Networks in the Academic and Social Environment of Administration Students at the “Universidad Colegio Mayor De Cundinamarca, Bogotá”." Journal of Ecohumanism 3, no. 3 (2024): 2103–11. https://doi.org/10.62754/joe.v3i3.6690.

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Social networks have become a fundamental part of everyday life, influencing multiple areas, especially in the academic and social spheres. Its use has grown exponentially, regardless of age, transforming the way people interact and access information. The objective of this study is to analyze the impact of the use and consumption of social networks on the students of Administration at the Universidad Colegio Mayor de Cundinamarca, evaluating the level of control that this exerts on them and its influence on academic and social dynamics. Using a mixed-approach methodology, combining surveys an

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Kridera, Stavroula, and Andreas Kanavos. "Exploring Trust Dynamics in Online Social Networks: A Social Network Analysis Perspective." Mathematical and Computational Applications 29, no. 3 (2024): 37. http://dx.doi.org/10.3390/mca29030037.

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This study explores trust dynamics within online social networks, blending social science theories with advanced machine-learning (ML) techniques. We examine trust’s multifaceted nature—definitions, types, and mechanisms for its establishment and maintenance—and analyze social network structures through graph theory. Employing a diverse array of ML models (e.g., KNN, SVM, Naive Bayes, Gradient Boosting, and Neural Networks), we predict connection strengths on Facebook, focusing on model performance metrics such as accuracy, precision, recall, and F1-score. Our methodology, executed in Python u

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Shin, Huiyoung. "Social contagion of academic behavior: Comparing social networks of close friends and admired peers." PLOS ONE 17, no. 3 (2022): e0265385. http://dx.doi.org/10.1371/journal.pone.0265385.

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Peer relations become significant socializing agents for diverse behaviors during adolescence. This study investigated relationship selection and social influence of early adolescents’ close friends and admired peers with regard to academic behavioral engagement. A stochastic actor-based model of social network analysis was used to examine classroom social networks across 2 waves (Mage = 11.46; N = 542) based on peer nominations. Adolescents were asked to nominate their “close friends they hang around with and talk to the most” and peers that they “admire, respect, and want to be like” Results

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Elsayed, Amany M. "The Use of Academic Social Networks Among Arab Researchers." Social Science Computer Review 34, no. 3 (2015): 378–91. http://dx.doi.org/10.1177/0894439315589146.

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Fisher, Kim W., and Karrie A. Shogren. "The Influence of Academic Tracking on Adolescent Social Networks." Remedial and Special Education 37, no. 2 (2015): 89–100. http://dx.doi.org/10.1177/0741932515616758.

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Olvera-Lobo, María-Dolores, and Juncal Gutiérrez-Artacho. "Academic use of custom social networks in translation training." Perspectives 22, no. 2 (2012): 282–89. http://dx.doi.org/10.1080/0907676x.2012.706310.

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Laakso, Mikael, Juho Lindman, Cenyu Shen, Linus Nyman, and Bo-Christer Björk. "Research output availability on academic social networks: implications for stakeholders in academic publishing." Electronic Markets 27, no. 2 (2017): 125–33. http://dx.doi.org/10.1007/s12525-016-0242-1.

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Stadtfeld, Christoph, András Vörös, Timon Elmer, Zsófia Boda, and Isabel J. Raabe. "Integration in emerging social networks explains academic failure and success." Proceedings of the National Academy of Sciences 116, no. 3 (2018): 792–97. http://dx.doi.org/10.1073/pnas.1811388115.

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Academic success of students has been explained with a variety of individual and socioeconomic factors. Social networks that informally emerge within student communities can have an additional effect on their achievement. However, this effect of social ties is difficult to measure and quantify, because social networks are multidimensional and dynamically evolving within the educational context. We repeatedly surveyed a cohort of 226 engineering undergraduates between their first day at university and a crucial examination at the end of the academic year. We investigate how social networks emer

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Wilson, Sue, and Jennifer Cutri. "Novice Academic Roles: The Value of Collegiate, Attendee-Driven Writing Networks." International Journal of Doctoral Studies 16 (2021): 149–70. http://dx.doi.org/10.28945/4700.

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Aim/Purpose: This particular study aims to contribute to the recent scholarly inquiry of doctoral student identity work within collegiate, attendee-driven writing networks. The study closely explores the implementation and impact of supportive measures in academia for novice researchers in the form of writing events. This paper draws on two case studies of doctoral students reflecting on the impact of their participation in social, academic literacy networks. The project also explores how these individuals were able to think about and mediate their own identities as they developed their reputa

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Kava, Luana, and Rodrigo Eduardo Botelho-Francisco. "Innovation and Digital Social Networks." Brazilian Journal of Information Science 14, no. 4 (2020): e020013. http://dx.doi.org/10.36311/1940-1640.2020.v14n4.10294.

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The present study aims to verify and analyze the leading academic publications related to innovation topics and digital social networks. The research methodology is the co-citation analysis followed by the development of a co-citation map that includes approaches, types of networks and levels of aggregation by these themes. Therefore, this study can promote a better understanding of how the authors studying innovation and digital social networks relate. As a result, 866 articles were identified between 2014 and 2018. Of these, 26,392 were references cited by the analyzed papers in the total of

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Bibi, Fizza, Hikmat Khan, Tassawar Iqbal, Muhammad Farooq, Irfan Mehmood, and Yunyoung Nam. "Ranking Authors in an Academic Network Using Social Network Measures." Applied Sciences 8, no. 10 (2018): 1824. http://dx.doi.org/10.3390/app8101824.

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Online social networks are widely used platforms that enable people to connect with each other. These social media channels provide an active communication platform for people, and they have opened new venues of research for the academic world and business. One of these research areas is measuring the influential users in online social networks; and the same is true for academic networks where finding influential authors is an area of interest. In an academic network, citation count, h-index and their variations are used to find top authors. In this article, we propose the adoption of establis

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Eze, Monica Eberechukwu, Clement Chukwuma Okeji, and Gabriel Ejiobi Bosah. "Self-archiving options on social networks: a review of options." Library Hi Tech News 36, no. 1 (2019): 9–12. http://dx.doi.org/10.1108/lhtn-12-2017-0091.

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Purpose The purpose of the study is to investigate the extent to which academic librarians in Nigerian universities utilize self-archiving options to make their research papers visible globally. Design/methodology/approach An online survey was designed using SurveyMonkey software to collect data from 394 academic librarians in Nigerian universities. Findings The study revealed that the academic librarians in Nigerian universities know and actually use self-archiving options such as ResearchGate, institutional repository and academia.edu to self-archive their publications. While, self-archiving

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Ali, Akbar Ebrahimi, and Azar Fatemeh. "The Effect of Excessive Use of Virtual Social Networks on the Academic Performance of Bamyan University Students: The Mediating Role of Qualityof Sleep." International Journal of Social Science And Human Research 04, no. 04 (2021): 723–29. https://doi.org/10.47191/ijsshr/v4-i4-21.

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Background: The social networks are used today as one of the important tools in establishing communication between people. In addition to the advantages, it can also have several disadvantages and problems, the negative effects of which can be seen on the academic performance of students. Objective: This study was designed to investigate the role of excessive use of virtual social networks on the academic performance of Bamyan University students with a mediating role of quality of sleep. Methodology: The present study has a descriptive-correlational design. A total of 180 Bamyan University st

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Dzvonik, Veronika. "Vkontakte Social Network as a Tool of Professional Skills Development in University Students (the example of the educational standard Journalism)." Virtual Communication and Social Networks 2022, no. 3 (2022): 114–17. http://dx.doi.org/10.21603/2782-4799-2022-1-3-114-117.

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The article considers social networks as a platform for online learning as in case of experimental television programs made by Kemerovo State University students of Journalism. Social networks provide a gaming environment for the academic process. Pedagogical theory and practice lack tools for assessing the impact of social networks on the formation of professional competencies in university students. They create content for online programs in professional television editorial offices under realistic conditions. This experience motivates them and develops their professional skills. Social netw

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Marković, Marija, Zorica Stanisavljević Petrović, and Dragana Pavlović. "Social Networks and the Development of Students’ Social Competences." Journal of Digital Pedagogy 3, no. 1 (2024): 18–28. http://dx.doi.org/10.61071/jdp.2455.

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Social competencies of students are crucial for successful studying and further academic careers, as they encompass communication, teamwork, and collaboration skills. Social networks offer opportunities for interaction and the exchange of ideas with peers and mentors. Therefore, it is important to study the relationship between social networks and social competencies to better understand the opportunities and challenges faced by students. The primary aim of this research is to examine students’ perceptions of the impact of social networks on the development of their social competencies. A desc

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Marković, Marija, Petrović Zorica Stanisavljević, and Dragana Pavlović. "Social Networks and the Development of Students' Social Competences." Journal of Digital Pedagogy 3, no. 1 (2024): 18–28. https://doi.org/10.61071/JDP.2455.

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Social competencies of students are crucial for successful studying and further academic careers, as they encompass communication, teamwork, and collaboration skills. Social networks offer opportunities for interaction and the exchange of ideas with peers and mentors. Therefore, it is important to study the relationship between social networks and social competencies to better understand the opportunities and challenges faced by students.The primary aim of this research is to examine students’ perceptions of the impact of social networks on the development of their social competencies. A

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