Academic Social Network Sites: Opportunities and Challenges

Mohammad, Mumtazimah; Lazim, Yuzarimi M.; Rosle, Suharmili

doi:10.14419/ijet.v7i3.13.16339

Cited by 6 publications

(7 citation statements)

References 11 publications

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“…Due to the inherent social network generated from academic activities (such as citations, collaborations, and academic communications)—named academic social network (Mohamad, Lazim, & Rosle, 2018), social network analysis has been proposed to investigate the topologies and dynamics of this network (Xia et al, 2017). Social network analysis is mainly based on the graph theory (Deo, 1974) and aims to describe, analyze, and simulate an academic social network by representing, visualizing and detecting communities in a given network of main scientific entities such as researchers, papers, conferences, and citations.…”

Section: Scholarly Data Mining Methodsmentioning

confidence: 99%

Scholarly data mining: A systematic review of its applications

Dridi

Gaber

Azad

et al. 2020

WIREs Data Min & Knowl

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During the last few decades, the widespread growth of scholarly networks and digital libraries has resulted in an explosion of publicly available scholarly data in various forms such as authors, papers, citations, conferences, and journals. This has created interest in the domain of big scholarly data analysis that analyses worldwide dissemination of scientific findings from different perspectives. Although the study of big scholarly data is relatively new, some studies have emerged on how to investigate scholarly data usage in different disciplines. These studies motivate investigating the scholarly data generated via academic technologies such as scholarly networks and digital libraries for building scalable approaches for retrieving, recommending, and analyzing the scholarly content. We have analyzed these studies following a systematic methodology, classifying them into different applications based on literature features and highlighting the machine learning techniques used for this purpose. We also discuss open challenges that remain unsolved to foster future research in the field of scholarly data mining. This article is categorized under: Algorithmic Development > Text Mining Application Areas > Science and Technology

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Section: Scholarly Data Mining Methodsmentioning

confidence: 99%

Scholarly data mining: A systematic review of its applications

Dridi

Gaber

Azad

et al. 2020

WIREs Data Min & Knowl

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show abstract

“…The intensity of mutual suppression of circulation increases with increasing number of interacting layers. The azimuthal velocity profiles presented in [19], obtained by calculation for the value of Reynolds numbers Re = 500 (laminar flow) have a similar appearance. However, since the flow regime is laminar, the process of viscous diffusion of circulation of the interacting layers terminates here at the 40th radius of the interaction area.…”

mentioning

confidence: 62%

Flow kinematics with oppositely rotating coaxial layers

Orekhov

2019

E3S Web Conf.

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In modern technological processes, liquid and gas flows play an important role. This is especially mostly evident in hydraulic engineering and hydropower construction when designing the highly efficient hydraulic turbines, various spillway systems and other elements of layout patterns of structures. When designing and constructing such facilities, it is necessary to know the characteristics of the flows to be passed through these structures in order to correctly take into account the various types of impacts from the flow: pressure pulsations, cavitation and erosion due to cavitation, wave formation and abrasive wear. When designing high-head spillway structures, special attention is paid to the presence of excess energy from the stream entering the lower pool, which requires special measures to dissipate it. Nowadays, in the practice of construction of hydraulic structures, swirled flows are used including those with oppositely rotating layers. This type of flow creates a number of effects that allow one to radically solve the problems of energy dissipation of high-velocity flows. The report presents the results of studies of a complicated flow formed by oppositely rotating coaxially arranged layers of liquid made by a physical method. The description of the experimental stand for the model studies of such flows is given. The basic parameters of the installation, the principle of operation of the recording equipment and its main characteristics are given. The results of model studies in the form of distribution of the components of the flow velocity along the cross section of the flow conductor and its length are given.

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“…A total of 17 studies are incorporated under this theme. These studies primarily investigated the feature and services of RG, (Bhardwaj, 2017;Chen et al, 2018;Copiello & Bonifaci, 2018Mohammad et al, 2018;Ortega, 2017) Academia.edu, Mendeley, and Zotero, (Bhardwaj, 2017;Mohammad et al, 2018;Sugimoto et al, 2017) General ASNs (Jordan, 2018;Laakso et al, 2017;Radford et al, 2018;Sugimoto et al, 2017).…”

Section: Asn Features and Services (Theme Iii)mentioning

confidence: 99%

“…Examining ASN features and services may also help to understand the user's perceived acceptance, usefulness, as well as the reliability of these services. Mohammad et al (2018) evaluated the features and services of RG, Academia.edu, Mendeley, and Zotero. The study found that the highest percentage of page views per user was observed in RG and Academia.edu.…”

Section: Asn Features and Services (Theme Iii)mentioning

confidence: 99%

The Use of Academic Social Networking Sites in Scholarly Communication: Scoping Review

Hailu

2021

Data and Information Management

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This research provides a systematic analysis of 115 previous literatures on the use of academic social networking sites (ASNs) in scholarly communication. Previous research on the subject has mainly taken a disciplinary and user perspective. This research conceptualizes the use of ASNs in scholarly communication in the space between social interactions and the technologies themselves. Keyword analysis and scoping review approaches have been used to analyze the comprehensive literature in the field. The study found a geographic variation in what motivates academics to use ASNs. Scholar discovery and sharing are the primary driving factors identified in the literature. Four main themes within the research literature are proposed: motivation and uses, impact assessment, features and services, and scholarly big data. The study found that there has been an increase in scholarly big data research in recent years. The paper also discusses the key findings and concepts stated in each theme. This gives academics a better understanding of what ASNs can do and their weaknesses, and identifies gaps in the literature that are worth addressing in future investigations. We suggest that future studies may also extend the existing theoretical framework and epistemological approaches to better predict and clarify the socio-technical dimensions of ASNs use in scholarly communication. In addition, this study has implications for academic and research institutions, libraries and information literacy programs, and future studies on the topic.

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Academic Social Network Sites: Opportunities and Challenges

Cited by 6 publications

References 11 publications

Scholarly data mining: A systematic review of its applications

Scholarly data mining: A systematic review of its applications

Flow kinematics with oppositely rotating coaxial layers

The Use of Academic Social Networking Sites in Scholarly Communication: Scoping Review

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