Modeling and Analyzing of Research Topic Evolution Associated with Social Networks of Researchers

2016 ◽  
Vol 7 (3) ◽  
pp. 42-62
Author(s):  
Wei Liang ◽  
Zixian Lu ◽  
Qun Jin ◽  
Yonghua Xiong ◽  
Min Wu
Keyword(s):  
Social Networks ◽  
Research Topic ◽  
Research Trends ◽  
Major Research ◽  
Research Topics ◽  
Academic Literature ◽  
Topic Evolution ◽  
Academic Topic ◽  
Evolution Modeling ◽  
Scientific Collaborations

Research trends keep evolving along the time with certain trackable patterns. Mining academic literature and discovering the latent research trends evolution is an interesting and important problem. Few of previous studies focusing on academic topic evolution modeling have addressed the temporal topic evolution patterns. In addition, researchers' profile and their social networks are valuable complementary to the research trends tracking. In this study, to analyze the underlying research trends evolution along with the scientific collaborations of researchers, a novel temporal research trends evolution model associated with researchers' social networks is proposed and built. Specifically, the detected research topics are classified into different clusters in each timeslot, and the evolution patterns are deduced among these topic clusters. The effectiveness of our approach is evaluated based on a real academic dataset. The experimental results can help users to discover the major research trends for specific fields. Besides, the tracked statuses of the corresponding scientific groups are helpful for searching research trends or finding collaboration opportunities according to researchers' different requirements.

Analyzing of the Evolution of the Field of E-Government and Trending Research Topics

2020 ◽  
pp. 1-19
Author(s):  
Laura Alcaide-Muñoz ◽  
Cristina Alcaide-Muñoz ◽  
Manuel Pedro Rodríguez Bolívar
Keyword(s):  
Research Topic ◽  
Research Projects ◽  
Research Topics ◽  
Field Of Study ◽  
Academic Literature ◽  
The World ◽  
Lively Debate ◽  
Clear Idea ◽  
The Disappeared

e-Government is a research topic that arouses the interest of many researchers all around the world. So, we can find a large number of studies and research projects published about this topic. Given the large number of articles that exist in the literature, it is not possible to get an idea of the evolution shown by the field of study and see the topics that are not receiving attention from researchers. The objective of this chapter is an analysis of the academic literature on e-government and the evolution of this field of knowledge. These findings allow us to have a clear idea of the evolution of e-government field, the disappeared research topics, and those that are currently in a lively debate. This analysis could be of interest to identify the trend in research of the e-government field of knowledge, as well as to examine the specialization of certain research topics.

scholarly journals Research Trends in Mobile Learning in Higher Education: A Systematic Review of Articles (2011 – 2015)

2017 ◽  
Vol 18 (7) ◽  
Author(s):  
Greig Krull ◽  
Josep M. Duart
Keyword(s):  
Higher Education ◽  
Mobile Learning ◽  
Research Topic ◽  
Research Trends ◽  
Mobile Technologies ◽  
Research Topics ◽  
Research And Practice ◽  
Emerging Trends ◽  
Research Themes ◽  
Learning Research

The potential and use of mobile devices in higher education has been a key issue for educational research and practice since the widespread adoption of these devices. Due to the evolving nature and affordances of mobile technologies, it is an area that requires ongoing investigation. This study aims to identify emerging trends in mobile learning research in higher education in order to provide insights for researchers and educators around research topics and issues for further exploration. This study analysed the research themes, methods, settings, and technologies in mobile learning research in higher education from 2011 to 2015. A total of 233 refereed articles were selected and analysed from peer reviewed journals. The results were compared to three previous literature review-based research studies focused between 2001 and 2010 to identify similarities and differences. Key findings indicated that: (a) mobile learning in higher education is a growing field as evidenced by the increasing variety of research topics, methods, and researchers; (b) the most common research topic continues to be about enabling m-learning applications and systems; and (c) mobile phones continue to be the most widely used devices in mobile learning studies, however, more and more studies work across different devices, rather than focusing on specific devices.

scholarly journals ANALYSIS OF RESEARCH TRENDS IN AGRICULTURAL ENGINEERING

2019 ◽  
Vol 2 ◽  
pp. 44
Author(s):  
Sławomir Francik ◽  
Adrian Knapczyk ◽  
Jarosław Frączek ◽  
Zbigniew Ślipek
Keyword(s):  
Model System ◽  
Research Trends ◽  
Recent Period ◽  
Major Research ◽  
Research Topics ◽  
Agricultural Engineering ◽  
Analysis Application ◽  
Frequency Occurrence ◽  
Number Of Publications ◽  
Engineering Journal

Nowadays it is necessary to define actual global research trends in disciplines in order to determine the major research topics, discoveries and global scientific networks. The goal of the work was to determine the main topics and research trends in agricultural engineering. For this caser he method of modified bibliometric analysis was applied. Such analysis of the keywords frequency occurrence and the links between the keywords in Biosystems Engineering Journal shows that in the three analysed periods, certain keywords invariably remain dominant. These are “model”, “system” or “systems”, “temperature” and “water”. The highest number of publications was qualified for the CIGR section: Information Technology. It can be, therefore, stated that in the recent period the most intensively developing researches were dedicated to the application of IT tools in creation various types of models, allowing to simulate and optimize agricultural processes. A majority of publications covered decision-making support (Decision Support Systems), image analysis application, and automation of agricultural processes.

scholarly journals Promoting Energy Performance Contracting for Achieving Urban Sustainability: What is the Research Trend?

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1443 ◽  
Author(s):  
Zhang ◽  
Yuan
Keyword(s):  
Business Models ◽  
Energy Performance ◽  
Research Trends ◽  
Research Trend ◽  
Future Research ◽  
Major Research ◽  
Research Topics ◽  
Performance Contracting ◽  
The Past ◽  
Energy Performance Contracting

The increasing demand for applying energy performance contracting (EPC) for urban energy conservation has resulted in a significant amount of publications over the past decade. This study tries to identify future research trends in the subject of EPC through analyzing 127 journal papers published from 2008 to 2018. Based on the analysis and discussion of the EPC research, several main research trends were identified. The research results reveal an increasing research interest in EPC over the period. The findings imply that case study is the major research method and descriptive analysis and statistical analysis are primarily used for data analysis. In addition, EPC research in the past decade focused on five major research topics, which are ‘implementation of EPC projects’, ‘EPC mechanism and business models’, ‘decision-making in EPC projects’, ‘Energy Service Companies (ESCOs) in EPC projects’, and ‘risk management in EPC projects’. Based on the five research topics, future research trends and directions in EPC were identified as well. The findings of this study can be informative and valuable for guiding future research in EPC, and are particularly helpful for researchers who are keen to open a new window of investigating EPC issues worldwide.

Educational data mining: a systematic review of research and emerging trends

2020 ◽  
Vol 48 (4) ◽  
pp. 225-236
Author(s):  
Xu Du ◽  
Juan Yang ◽  
Jui-Long Hung ◽  
Brett Shelton
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Educational Data Mining ◽  
Research Trends ◽  
Future Research ◽  
Major Research ◽  
Research Topics ◽  
Content Type ◽  
State Of Art ◽  
Open Issues

Purpose Educational data mining (EDM) and learning analytics, which are highly related subjects but have different definitions and focuses, have enabled instructors to obtain a holistic view of student progress and trigger corresponding decision-making. Furthermore, the automation part of EDM is closer to the concept of artificial intelligence. Due to the wide applications of artificial intelligence in assorted fields, the authors are curious about the state-of-art of related applications in Education. Design/methodology/approach This study focused on systematically reviewing 1,219 EDM studies that were searched from five digital databases based on a strict search procedure. Although 33 reviews were attempted to synthesize research literature, several research gaps were identified. A comprehensive and systematic review report is needed to show us: what research trends can be revealed and what major research topics and open issues are existed in EDM research. Findings Results show that the EDM research has moved toward the early majority stage; EDM publications are mainly contributed by “actual analysis” category; machine learning or even deep learning algorithms have been widely adopted, but collecting actual larger data sets for EDM research is rare, especially in K-12. Four major research topics, including prediction of performance, decision support for teachers and learners, detection of behaviors and learner modeling and comparison or optimization of algorithms, have been identified. Some open issues and future research directions in EDM field are also put forward. Research limitations/implications Limitations for this search method include the likelihood of missing EDM research that was not captured through these portals. Originality/value This systematic review has not only reported the research trends of EDM but also discussed open issues to direct future research. Finally, it is concluded that the state-of-art of EDM research is far from the ideal of artificial intelligence and the automatic support part for teaching and learning in EDM may need improvement in the future work.

scholarly journals CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics

2021 ◽  
Author(s):  
Angelo Salatino ◽  
Francesco Osborne ◽  
Enrico Motta
Keyword(s):  
Computer Science ◽  
Digital Libraries ◽  
Gold Standard ◽  
Research Trends ◽  
Alternative Methods ◽  
Relevant Research ◽  
Research Topics ◽  
Research Papers ◽  
Research Areas ◽  
Unsupervised Approach

AbstractClassifying scientific articles, patents, and other documents according to the relevant research topics is an important task, which enables a variety of functionalities, such as categorising documents in digital libraries, monitoring and predicting research trends, and recommending papers relevant to one or more topics. In this paper, we present the latest version of the CSO Classifier (v3.0), an unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive taxonomy of research areas in the field of Computer Science. The CSO Classifier takes as input the textual components of a research paper (usually title, abstract, and keywords) and returns a set of research topics drawn from the ontology. This new version includes a new component for discarding outlier topics and offers improved scalability. We evaluated the CSO Classifier on a gold standard of manually annotated articles, demonstrating a significant improvement over alternative methods. We also present an overview of applications adopting the CSO Classifier and describe how it can be adapted to other fields.

scholarly journals Five-Card AND Computations in Committed Format Using Only Uniform Cyclic Shuffles

2021 ◽  
Author(s):  
Yuta Abe ◽  
Yu-ichi Hayashi ◽  
Takaaki Mizuki ◽  
Hideaki Sone
Keyword(s):  
State Of The Art ◽  
Research Topic ◽  
The State ◽  
Major Research ◽  
Open Questions

AbstractIn card-based cryptography, designing AND protocols in committed format is a major research topic. The state-of-the-art AND protocol proposed by Koch, Walzer, and Härtel in ASIACRYPT 2015 uses only four cards, which is the minimum permissible number. The minimality of their protocol relies on somewhat complicated shuffles having non-uniform probabilities of possible outcomes. Restricting the allowed shuffles to uniform closed ones entails that, to the best of our knowledge, six cards are sufficient: the six-card AND protocol proposed by Mizuki and Sone in 2009 utilizes the random bisection cut, which is a uniform and cyclic (and hence, closed) shuffle. Thus, a question has arisen: “Can we improve upon this six-card protocol using only uniform closed shuffles?” In other words, the existence or otherwise of a five-card AND protocol in committed format using only uniform closed shuffles has been one of the most important open questions in this field. In this paper, we answer the question affirmatively by designing five-card committed-format AND protocols using only uniform cyclic shuffles. The shuffles that our protocols use are the random cut and random bisection cut, both of which are uniform cyclic shuffles and can be easily implemented by humans.

scholarly journals Identification of Technology Diffusion by Citation and Main Paths Analysis: The Possibility of Measuring Open Innovation

2021 ◽  
Vol 7 (1) ◽  
pp. 104
Author(s):  
Wei-Hao Su ◽  
Kai-Ying Chen ◽  
Louis Y. Y. Lu ◽  
Ya-Chi Huang
Keyword(s):  
Research And Development ◽  
Technology Development ◽  
Surgical Navigation ◽  
Future Research ◽  
Integrated Analysis ◽  
Reference Network ◽  
Research Topics ◽  
Academic Literature ◽  
Development Trajectory ◽  
Historic Development

This study collected literature on augmented reality (AR) from academic and patent databases to plot the historic development trajectory of AR and forecast its future research and development trends. A total of 3193 and 13,629 papers were collected from academic and patent databases, respectively. First, a network was established using references from the academic literature; main path analysis was conducted on this reference network to plot the overall development trajectory. Subsequent cluster and word cloud analyses revealed the following five major groups of AR research topics: AR surgical navigation applications, AR education applications, AR applications in manufacturing, AR applications in architecture, and AR applications in visual tracking. Subsequently, the relationships between the overall development trajectory and the five AR research topics were compared. Next, the title and abstract of AR-related academic and patent papers were subjected to text mining to identify keywords with a high frequency of occurrence. The results can provide a reference for industry, government, and academia when planning future development strategies for the AR field. This research adopted an integrated analysis procedure to plot the trajectory of AR technology development and applications successfully and effectively, predict future patent research and development directions and produce technological forecasts.

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