Webology

Webology

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  • Country of publisher: iran, islamic republic of
  • Date added to EuroPub: 2020/Aug/29

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  • LCC Subject Category: Information Science & Library Science
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  • Time from submission to publication: weeks

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  • Waiver policy for charges? No

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  • Open Access Statement: No
  • Year open access content began: 2004
  • Does the author retain unrestricted copyright? False
  • Does the author retain publishing rights? False

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This journal has '283' articles

A metatheory integrating social, biological and technological factors in information behavior research

A metatheory integrating social, biological and technological factors in information behavior research

Authors: Leon James and Diane Nahl
Year: 2014, Volume: 11, Number: 1
Webology 2020/Aug/29
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Abstract

A metatheory is presented and diagrammed as an integrated conceptual framework for information seeking and use. It represents the symbiotic relationship between users and the technological environment. Receiving and adapting to information is achieved through each user’s biological satisficing procedures defined by group information practices, namely, noticing information, appraising it and evaluating it. Information use is achieved through optimizing procedures, namely, activating goal-setting intentions, constructing a plan and executing it through acting upon the technological environment to attain one’s goals. Evidence is given by listing a variety of information seeking behaviors that others have identified in their review of the literature, then showing how each element fits within the model, as well as by analyzing the interpretive discourse of college students while engaged in carrying out assigned information tasks. Each discourse segment in the samples was categorized as either an affective, cognitive or sensorimotor procedure carried out by the user, and transcribed as a string or sequence. This code sequence was then compared with the sequence produced when the model’s mapping is followed. Every discourse sample inspected contained the six categories specified by the model. The metatheory is suitable for providing a common framework for discussing various areas of information behavior research.

Keywords: Discourse analysis; Constructionism; Information behavior; Technological affordances
How Academia and Society Pay Attention to Climate Changes: A Bibliometric and Altmetric Analysis

How Academia and Society Pay Attention to Climate Changes: A Bibliometric and Altmetric Analysis

Authors: Forough Rahimi, Nosrat Riahinia, Hamzehali Nourmohammadi, Hajar Sotudeh and Mohammad TavakoliZadeh-Ravari
Year: 2019, Volume: 16, Number: 2
Webology 2020/Aug/29
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Abstract

With the help of social web, social users can create, manage, share or react without undergoing the formal mechanisms of quality control. The way social users respond to scholarly outputs on the social web is called social citation, which can show the broadening of impact from academia to society. Climate change is one of the most life-threatening issues that everybody should be sensible and react to. Studying the scientific and social citations of articles dealing with climate changes, the present study attempts to provide new insights into the amount of social users' attention and reactions. It also investigates the correlation between scientific and social citations to shed light on the potential of altmetrics as an alternative or supplementary to its traditional predecessor. Besides, the study aims to carry out co-word analysis of scientific texts in the field and identify hot topics. Our findings showed that 3141 out of 6100 climate changes related articles retrieved from WoS were present in Altmetric explorer. They received 84380 and 17361 social and traditional citations, respectively. The articles were revealed to be mostly represented in Mendeley (133002 reads) and Tweeter (72108 tweets) followed by News outlet, Facebook, and blogs. The results of Spearman correlation test revealed a significant, though weak, correlation between WoS citations and social citations including Tweets, Mendeley readers, Facebook posts, blog posts, Google+ posts, news outlet and Article Attention Score. Multidisciplinary sciences were the most productive subject areas with the highest number of scientific and social citations. Co-word analysis of the articles showed that greenhouse gases emission; warming; species; adaptation; precipitation; energy; country, soil and crops are among the most frequent words. The value of the present study lies in the clarification of the extent to which social network users pay attention to climatic issues and how much is the power of altmetrics in showing the impact of science on society. Visualization of climate changes articles helps redirect cultural-political debates and associates discourses. It can help raise awareness in people and engage them in environmental conservation.

Keywords: Climate change; Altmetrics; Citation; Co-word analysis; Social media.
The Information Service Evaluation (ISE) Model

The Information Service Evaluation (ISE) Model

Authors: Laura Schumann and Wolfgang G. Stock
Year: 2014, Volume: 11, Number: 1
Webology 2020/Aug/29
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Abstract

Information services are an inherent part of our everyday life. Especially since ubiquitous cities are being developed all over the world their number is increasing even faster. They aim at facilitating the production of information and the access to the needed information and are supposed to make life easier. Until today many different evaluation models (among others, TAM, TAM 2, TAM 3, UTAUT and MATH) have been developed to measure the quality and acceptance of these services. Still, they only consider subareas of the whole concept that represents an information service. As a holistic and comprehensive approach, the ISE Model studies five dimensions that influence adoption, use, impact and diffusion of the information service: information service quality, information user, information acceptance, information environment and time. All these aspects have a great impact on the final grading and of the success (or failure) of the service. Our model combines approaches, which study subjective impressions of users (e.g., the perceived service quality), and user-independent, more objective approaches (e.g., the degree of gamification of a system). Furthermore, we adopt results of network economics, especially the "Success breeds success"-principle.

Keywords: Information services; Technology acceptance; Evaluation
Evaluation of Effective Indicators on Promotion of Webometric Rank of Golestan University of Medical Sciences Website

Evaluation of Effective Indicators on Promotion of Webometric Rank of Golestan University of Medical Sciences Website

Authors: Masoud Mohammadi, Masoud Mohammadi, Mohsen Mansouri, Maryam Banisaffar, Amir Mahimani, Mojtaba Azghandi Shahri
Year: 2019, Volume: 16, Number: 2
Webology 2020/Aug/29
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Abstract

Presence on the Web and the realization of webometric indicators are one of the most important indicators of reflecting the international presence of universities. This study evaluates the content and technical characteristics that influence webometric rankings on Golestan University of Medical Sciences websites. This research is a descriptive practical survey that describes the status of the website based on the content and technical features that influence the promotion of webometric rankings. A total of 53 Golestan University of Medical Sciences websites were included, consisted of 7 college websites, 8 Deputies websites, and 16 websites for hospitals and 22 websites for research centers. Data were collected using checklist. Result shows that 49.46 percent of the expected indicators were met by the units. Colleges with the overall average of 57.64 percent had the highest compliance and the hospitals with 36.72 percent had the lowest compliance with the webometric indexes. The results show that 54.72 percent of the Deputies and 47.73 percent of the research centers have met the indicators. According to the findings, notice to the indicators that less-considered, is necessary for webometric managers and researchers. Also, given that Golestan University of Medical Sciences is the weakest in the Impact Index, considering the number of backlinks identified by search engines is one of the priorities of web infrastructure enhancement programs.

Keywords: Webometric; Content indicators; Technical indicators; Golestan University of Medical Sciences
Research Trends and Bibliometric Analysis of a Journal: Sport Management Review

Research Trends and Bibliometric Analysis of a Journal: Sport Management Review

Authors: Sajad Gholampour, Alireza Noruzi, Behzad Gholampour and Alireza Elahi
Year: 2019, Volume: 16, Number: 2
Webology 2020/Aug/29
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Abstract

Many studies around the world in the field of scientometrics and research trends analysis are carried out using bibliometric techniques to analyze a specific research area or a special journal. The purpose of this bibliometric study was to investigate the research trends of the journal of Sport Management Review based on the Web of Science (WoS) citation database in the period 2011-2018. The findings of this bibliometric study can be useful for sport researchers and the editorial board of the above-mentioned journal. The results of this study showed that countries such as the United States of America and Australia, and universities such as Griffith University and Deakin University have the highest number of publications in the journal of Sport Management Review. Moreover, D.C. Funk and S. Fairley are the most prolific authors. Also, based on the journal evaluation criteria of Web of Science, the Impact Factor of Sport Management Review has grown steadily over the years. The co-occurrence map based on the author-supplied keywords of the papers published in SMR indicates that the keywords sport, marketing, intercollegiate athletics, sport development, sponsorship, sport management, sport policy, social media, professional sport, and sport marketing were the most co-occurrences and the hot topics in the journal of SMR. The current bibliometric study indicates the growing importance of international journal of SMR in terms of research and citation impacts.

Keywords: Bibliometric analysis; Network analysis; Research trends; Sport Management Review; Scientometric
Research Trends in The Electronic Library Journal During the Period 2010-2018: A Bibliometric Study

Research Trends in The Electronic Library Journal During the Period 2010-2018: A Bibliometric Study

Authors: Mamta Rani
Year: 2019, Volume: 16, Number: 2
Webology 2020/Aug/29
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Abstract

The purpose of this paper to examine the research paper which are to publish in The Electronic Library (TEL) during 2010-2018. There are 533 articles and 1249 authors were analyzed by year wise dispersion of research articles, author productivity, authorship pattern volume wise authorship pattern and degree of collaboration. It is the widely used aspect of bibliometric analysis. The highest of 72 (13.50%) paper were published in 2017 and 2018 and lowest of 49 (9.20%) in 2013. We found that degree of collaboration of this Journal is 0.756.

Keywords: Bibliometric; Authorship patterns; Authors productivity; Degree of author's collaboration; Electronic library
A Bibliometric Analysis and Visualization of the Scientific Publications of Universities: A Study of Hamadan University of Medical Sciences during 1992-2018

A Bibliometric Analysis and Visualization of the Scientific Publications of Universities: A Study of Hamadan University of Medical Sciences during 1992-2018

Authors: Heidar Mokhtari, Seyedeh Zahra Mirezati, Mohammad Karim Saberi, Farzaneh Fazli and Mohammad Kharabati-Neshin
Year: 2019, Volume: 16, Number: 2
Webology 2020/Aug/29
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Abstract

The evaluation of universities from different perspectives is important for their scientific development. Analyzing the scientific papers of a university under the bibliometric approach is one main evaluative approach. The aim of this study was to conduct a bibliometric analysis and visualization of papers published by Hamadan University of Medical Science (HUMS), Iran, during 1992-2018. This study used bibliometric and visualization techniques. Scopus database was used for data collection. 3753 papers were retrieved by applying Affiliation Search in Scopus advanced search section. Excel and VOSviewer software packages were used for data analysis and bibliometric indicator extraction. An increasing trend was seen in the numbers of HUMS's published papers and received citations. The highest rate of collaboration in national level was with Tehran University of Medical Sciences. Internationally, HUMS's researchers had the highest collaboration with the authors from the United States, the United Kingdom and Switzerland, respectively. All highly-cited papers were published in high level Q1 journals. Term clustering demonstrated four main clusters: epidemiological studies, laboratory studies, pharmacological studies, and microbiological studies. The results of this study can be beneficial to the policy-makers of this university. In addition, researchers and bibliometricians can use this study as a pattern for studying and visualizing the bibliometric indicators of other universities and research institutions.

Keywords: Scientific publications; Bibliometric analysis; Visualization; Co-authorship
Analysis and Evaluation of Navigation Structure of the Websites of Central Libraries of Iranian Public Universities Accredited by MSRT

Analysis and Evaluation of Navigation Structure of the Websites of Central Libraries of Iranian Public Universities Accredited by MSRT

Authors: Shahnaz Khademizadeh and Zahra Mohammadian
Year: 2019, Volume: 16, Number: 2
Webology 2020/Aug/29
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Abstract

The main objective of this research is to determine the status of navigation tools in the websites of central libraries of Iranian public universities accredited by the Iranian Ministry of Science, Research and Technology (MSRT) based on items specified in the checklist for identification of weaknesses and strengths of their webpages to improve the provision of services to remote users. This research was conducted as a descriptive survey. The statistical population included all websites of Iranian public universities. Thirty-six out of one hundred thirty nine central library websites of Iranian public universities had a separate and acceptable webpage, which were studied in this research. Out of 36 central libraries of Iranian public universities with a separate webpage, 34 libraries (94.5%) have fixed navigation tools. User navigation and ease of access to target contents on the website increase the user's stability and site visits. Therefore, designing a good navigation system is essential for users. For navigation, users can use various features on the website.

Keywords: Websites; Navigation tools; Website evaluation; Central Libraries; Universities; Iran
Application of Ensemble Machine Learning in the Predictive Data Analytics of Indian Stock Market

Application of Ensemble Machine Learning in the Predictive Data Analytics of Indian Stock Market

Authors: Marxia Oli Sigo, Murugesan Selvam, Sankaran Venkateswar and Chinnadurai Kathiravan
Year: 2019, Volume: 16, Number: 2
Webology 2020/Aug/29
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Abstract

The world of today is high frequency data driven and characterized by the application and use of information technology for better business development and decision making. The price movements of stock markets are mainly influenced by micro and macro economic variables, legal framework and taxation policies of the respective economies. The crux of the issue lies in exactly forecasting the future stock price movements of individual firms, based on historical or past prices. Achieving the accuracy for forecasting the market trend has become difficult due to the prevalence of stochastic behavior in the stock market and volatility in the stock prices. This paper analyses the stochasticity of movement pattern of the most volatile, fifty company stocks (in terms of market capitalization) of NSE-Nifty, using ensemble machine learning method. The findings of the study would help the investors, to make rational and well informed investment decisions, to optimize the stock returns by investing in the most valuable stocks.

Keywords: Behavioral finance; Business intelligence; Data science; Ensemble machine learning; Predictive analytics; Stochastic movement of stock markets
Vygotsky’s Activity Theory and Health Scholars’ Web-based Information Practice

Vygotsky’s Activity Theory and Health Scholars’ Web-based Information Practice

Authors: Ali Azimi, Davoud Haseli and Leila Abdollahi
Year: 2019, Volume: 16, Number: 2
Webology 2020/Aug/29
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Abstract

Vygotsky’s Action Theory clarifies that humans’ behaviors are mostly derived by socio-cultural backgrounds. It heavily relies on the fact that information interaction can be affected by afterbirth habits and historical knowledge. Health scholars' web-based information practice is hugely important since they learn while they teach and information practice is a such interaction. Drawing on viewpoint of Vygotsky’s Action theory we studied health scholars’ information practice and investigated the related factors using a qualitative grounded-based theory approach. On a voluntary basis 23 faculty members from School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran were selected and on two stages were asked about their information practice experiences during December 2015 to March 2016 and November to December 2017. Interviews were placed at their university offices, then transcribed, coded and carefully analyzed. We derived 3 themes of cultural, economic and sociopolitical factors for all barriers the faculties had during their information practice. Since students directly, and the society at large collectively bear the brunt of the barriers, a suitable and effective modification of the current status is recommended. It looks as if the governing system contribute to help improving information practice of played-out scholars, we will have the cultural, economic, and socio-political development on an accelerating rate.

Keywords: Information Practice; Health Scholar; Vygotsky’s Activity Theory; Iran University of Medical Sciences
Development of a Numerical Index to Assess the Quality of Websites Design

Development of a Numerical Index to Assess the Quality of Websites Design

Authors: Intesar Rasmi Mousa
Year: 2019, Volume: 16, Number: 2
Webology 2020/Aug/29
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Abstract

A Website Design Quality Index, called WDQI, was developed to assess the websites design quality using a numerical approach. WDQI was formulated using a set of criteria such as availability literature on website design quality, previous reports, and the experts' opinions. Ten elements of websites design were included in the index: capacity and diversity of information, information modification and update, interactivity, reliability, usability, use of valid links and hyperlinks, clarity/simplicity, use of multimedia, navigation and its tools and loading speed. WDQI was applied to assess the design quality of three selected websites. WDQI has provided reasonable results in comparison to the actual state of the selected websites. Moreover, this index can provide valuable information for designers and engineers to obtain the high-quality design for websites.

Keywords: Interactivity; Website assessment; Website quality
High Performance Computing (HPC) Data Center for Information as a Service (IaaS) Security Checklist: Cloud Data Governance

High Performance Computing (HPC) Data Center for Information as a Service (IaaS) Security Checklist: Cloud Data Governance

Authors: Arun Kumar Singh and Samidha Dwivedi Sharma
Year: 2019, Volume: 16, Number: 2
Webology 2020/Aug/29
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Abstract

This study focused on cloud Data Governance (DG) for High Performance Computing (HPC) Cloud data Centre focusing on IaaS cloud service. To ensure the service provided to users is secured, HPCC are required to be certified by International Organization for Standardization (ISO). Therefore, IaaS security checklist is needed to measure the IaaS service provided. In depth interview results shows that failure in implementing good DG not only will put HPC data center at risks, but also will leads to business failure and recovery process might take more effort than some organizations might have imagined. At the end of paper, a cloud DG security checklist for IaaS security is proposed based on the ISO/IEC 27012 and applied by identified HPC cloud data center to improve the security of IaaS services.

Keywords: Cloud computing; Security; Data governance; Advanced Persistent Threat (APTs); High Performance Computing (HPC); Information as a Service (IaaS)
Benefits of Videos in YouTube for the Undergraduate Students in Engineering and Technology in India

Benefits of Videos in YouTube for the Undergraduate Students in Engineering and Technology in India

Authors: Rajendra Babu H, Rangaswamy Buddayya and Nagaraja L. Gujjarappa
Year: 2019, Volume: 16, Number: 2
Webology 2020/Aug/29
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Abstract

The purpose of this paper is to find the reasons and preferences in the use of YouTube videos by the Indian undergraduate engineering and technology students. To find the use of YouTube videos as a supplementary source in support of learning, developing cultural understanding and obtaining behavioural benefits. A quantitative research design using a survey method was used questionnaire to collect the data. Data was analysed using frequency and percentage approach. The data sample consists of undergraduate engineering and technology students across the Indian subcontinent. The results of the data analysis reveal that the use of YouTube videos engage the students in their academics better. Over 95.0 percent of the respondents are aware and have a conviction about the supplementary role played by YouTube videos in their educational, cultural and moral life. 98.53 percent of respondents have ‘learnt to respect the good things in other cultures’. 57.25 percent male and 40.74 percent female respondents have better understood the cultural difference and appreciate them. This cultural understanding has helped ‘to identify good things in other cultures’ by 97.84 percent respondents. The study suggests that the student use of YouTube needs to be oriented towards scholarly content to improve student engagement in the learning and enrich their knowledge. The use of YouTube videos among undergraduate engineering and technology students in India is encouraging. There is a lack of focused studies on cultural and behavioural implications through the use of YouTube videos. This paper is the first of its kind in finding the use of YouTube videos as an information source for gaining educational, cultural and behavioural benefits among Indian engineering and technology students.

Keywords: Video-sharing; YouTube; Social Media; Videos; E-learning, V-learning, Education, Cultural benefits, Behavioural benefits
Improvement of Page Ranking Algorithm by Negative Score of Spam Pages

Improvement of Page Ranking Algorithm by Negative Score of Spam Pages

Authors: Ateye Zeraatkar, Hamid Mirvaziri and Mostafa Ghazizadeh Ahsaee
Year: 2019, Volume: 16, Number: 2
Webology 2020/Aug/29
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Abstract

There are billions of web pages in the web and the most significant point is how to search these pages regarding their usefulness. Usually a user enters a query into a search engine and looking for the best responses. Search engines work based on ranking algorithms. Ranking algorithms employ web mining methods. Web mining is divided into structure, content and web usage mining. In search engines, related pages with user's query must be listed as a result and to obtain a better results, content mining algorithms may be included. Features such as input and output weight, content weight, spam score, length of URL, the number of related pages and href tags values are considered with a negative score. Proposed algorithms are implemented and compared with well-known algorithm. In this algorithm, Spam score feature is used which is combined with the age of domain and content weight of pages. In PRS (PageRank with Spam score) and PRST (PageRank with Spam score and Time factor) algorithms a better response is achieved than PR (PageRank) algorithm. Obtained results of the other algorithm, WPCRST (Weighted Page Content Rank with Spam score and Time factor) indicates that all measures are improved comparing with PR algorithm and provide better responses. First proposed algorithm combines extracted spam features from “moz.com” with structural features of Web mining. In the second proposed algorithm age of pages is used in addition to the neighborhood matrix and spam score. This feature is used to fix the rich getting richer. Logically this algorithm offers better scores than the previous algorithms. Third proposed algorithm uses weighting methods. In fact, in this algorithm, weight of inbound links and weight of outbound links and content weight of pages are used simultaneously. This algorithm includes web content mining by using content weight of pages. Values of TFIDF and BM25 algorithms are used to obtain the content weight. Obtained results specify that this algorithm has a better ranking than PRST algorithm except for the measure of precision. About 41 percent improvement can be seen in the measure of NDCG and 48 percent improvement for precision while AP has improved 0.8 percent and finally 2.5 percent improvement can be seen in Mean NDCG. In this algorithm, value of TFIDF algorithm is considered as the content weight.

Keywords: PageRank; Content weight; Spam score; Age of domain
Development of Intellectual System for Data De-Duplication and Distribution in Cloud Storage

Development of Intellectual System for Data De-Duplication and Distribution in Cloud Storage

Authors: Vasyl Lytvyn, Victoria Vysotska, Mykhailo Osypov, Olha Slyusarchuk and Yuriy Slyusarchuk
Year: 2019, Volume: 16, Number: 2
Webology 2020/Aug/29
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Abstract

The system for backing up the data is designed. Client software works on the computer of user, takes all the necessary files for backup, and turns them into Stream of bytes. Then breaks it into blocks (from 32 KB to 64KB) using a Rabin algorithm. It is based on hash ring that is absorbing every incoming byte if the current hash mask or equal to a certain reach 64KB, there is division committed. This approach helps to avoid is coping all data if the content of a file has changed in separately. For each data block client software calculates the hash. Then sends parts even 256 times or more of those hashes to the server and checks if they already know the system. The blocks are not known, refers to the server. As part of the de-duplication, data on distribution and cloud distribution occurs on hashes, hashes are SHA1, so that 20 bytes are given in hexadecimal format. First number or letter and will serve key distribution. So essentially, you can evenly distribute the data among the workers from 2 to 16 pieces. You need to take the second number of hash, and more commit distribution.

Keywords: Stochastic game; Clustering, Ontology; Knowledge base; Intelligent agent; Data Sharing; Data de-duplication; Data Hashing; Cloud Environment; Cloud computing; Rabin algorithm; Hybrid De-duplication

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