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Open access

Lu An, Xingyue Yi, Yuxin Han and Gang Li

Abstract

This study aims at constructing a microblog influence prediction model and revealing how the user, time, and content features of microblog entries about public health emergencies affect the influence of microblog entries. Microblog entries about the Ebola outbreak are selected as data sets. The BM25 latent Dirichlet allocation model (LDA-BM25) is used to extract topics from the microblog entries. A microblog influence prediction model is proposed by using the random forest method. Results reveal that the proposed model can predict the influence of microblog entries about public health emergencies with a precision rate reaching 88.8%. The individual features that play a role in the influence of microblog entries, as well as their influence tendencies are also analyzed. The proposed microblog influence prediction model consists of user, time, and content features. It makes up the deficiency that content features are often ignored by other microblog influence prediction models. The roles of the three features in the influence of microblog entries are also discussed.

Open access

Yuan Zhang and Hsia-Ching Chang

Abstract

Healthcare communication on Twitter is challenging because the space for a tweet is limited, but the topic is too sophisticated to be concise. Comparing medical-terminology hashtags versus lay-language hashtags, this paper explores the characteristics of healthcare hashtags using an entropy matrix which derived from information theory. In this paper, the entropy matrix comprises of six different components used for constructing a tweet and serves as a framework for the structural analysis with the granularity of tweet composition. These granular components include image(s), text with semantic meanings, hashtag(s), @ username(s), hyperlink, and unused space. The entropy matrix proposed in this paper contributes to a new approach to visualizing the complexity level of hashtag collections. In addition, the calculated entropy could be an indicator of the diversity of a user’s choice across those tweet components. Furthermore, the visualizations (radar graph and scatterplot) illustrate statistical structures and the dynamics of the hashtag collections measured by entropy. The results from this study demonstrate a manifest relationship between tweet composition and the number of being retweeted.

Open access

Minghong Chen, Jingye Qu, Yuan Xu and Jiangping Chen

Abstract

Following an integrated data analytics framework that includes descriptive analysis and multiple automatic content analysis, we examined 265 projects that have been funded by the National Science Foundation (NSF) under the Smart and Connected Health (SCH) program. Our analysis discovered certain characteristics of these projects, including the distribution of the funds over years, the leading organizations in SCH, and the multidisciplinary nature of these projects. We also conducted content analysis on project titles and automatic analysis on the abstracts of the projects, including term frequency/word cloud analysis, clustering analysis, and topic modeling using Biterm method. Our analysis found that five main research areas were explored in these projects: system or platform development, modeling or algorithmic development for various purposes, designing smart health devices, clinical data collection and application, and education and academic activities of SCH. Together we obtained a comparatively fair understanding of these projects and demonstrated how different analytic approaches could complement each other. Future research will focus on the impact of these projects through an analysis of their publications and citations.

Open access

Tingting Jiang, Jiaqi Yang, Cong Yu and Yunxin Sang

Abstract

Mobile devices are gaining popularity among online shoppers whose behavior has been reshaped by the changes in screen size, interface, functionality, and context of use. This study, based on a log file from a cross-border E-commerce platform, conducted a clickstream data analysis to compare desktop and mobile users’ visiting behavior. The original 2,827,449 clickstream records generated over a 4-day period were cleaned and analyzed according to an established analysis framework at the footprint level. Differences are found between desktop and mobile users in the distribution of footprints, core footprints, and footprint depth. As the results show, online shoppers preferred to explore various products on mobile devices and read product details on desktops. The E-commerce mobile application (app) presented higher interactivity than the desktop and mobile websites, thus increasing both user involvement and product visibility. It enabled users to engage in the intended activities more effectively on the corresponding pages. Mobile users were further divided into iOS and Android users whose visiting behaviors were basically similar to each other, though the latter might experience slower response speed.

Open access

John Zhang, Ming Fan, Bin Gu, Vijay Mukherjee, Bin Zhang and J. Leon Zhao

Open access

Liang Hong, Mengqi Luo, Ruixue Wang, Peixin Lu, Wei Lu and Long Lu

Abstract

The concept of Big Data is popular in a variety of domains. The purpose of this review was to summarize the features, applications, analysis approaches, and challenges of Big Data in health care. Big Data in health care has its own features, such as heterogeneity, incompleteness, timeliness and longevity, privacy, and ownership. These features bring a series of challenges for data storage, mining, and sharing to promote health-related research. To deal with these challenges, analysis approaches focusing on Big Data in health care need to be developed and laws and regulations for making use of Big Data in health care need to be enacted. From a patient perspective, application of Big Data analysis could bring about improved treatment and lower costs. In addition to patients, government, hospitals, and research institutions could also benefit from the Big Data in health care.

Open access

Leena Ajit Kaushal

Abstract

The ongoing debates and discussions about sharing economy revolve round its definition, regulations and impact on economy, business and consumers. The paper attempts to develop a theoretical framework that define the sharing economy and analyse the possible association between the sharing economy and sustainability.

The paper also assesses the need for an institutional and regulatory framework to strengthen sharing economy as an economic driver, potentially contributing to the more sustainable growth of the world economy.

Open access

Raluca Stoica and Veronica Stefan

Abstract

The implementation of up-to-date technologies in the accounting system of modern entities is a topical subject, by the desire of enterprises to align themselves with the current of international globalization but also by the requirements imposed by the science and practice to join the accounting main issues in the field. The accounting technique evolved with the technological innovations, related to each evolutionary period of the human society. The paper aims to identifying the factors that influenced the whole process of the development of information technologies in the financial-accounting field; identifying the main issues related to the technological interaction in accounting and, in this context, identifying the tools and technological supports in the evolution of the accounting technique, from the empirical forms of accounting to the present day, in the age of globalization, amid the continuous need for normalization and standardization of accounting procedures, especially applicable to the consolidation of financial results.

Nowadays, the most used digital technology in computerized accounting and management is Cloud-Computing ERP solutions, a form of digital accounting that will represent the critical mass of accounting information system in the near future, and this paper will present and discuss such solutions.

Open access

Maria Negreponi-Delivanis

Abstract

The world is entering a new international economic order, with clearly different characteristics to the previous one. Apart from the fundamental rotation (every 40-50 years) between the regimes of free trade and protectionism, the decisive difference is the rapid rise of populist parties that are gradually displacing traditional political parties and traditional governments in Europe and the world. This development is the angry response of the victims of globalization, which has created many losers and few winners. Despite some differences among these new political parties, depending on whether they belong to the right or left, they all share certain basic choices, such as closed borders, the return of nationalism, the need for state intervention in the economy, a more equitable distribution of wealth, the demonstration of hostility to elitism and the status quo, the limitation of unregulated stock market economy, the greater emphasis on domestic production and consumption than exports. This status change is important not only from the point of view of mutating from liberal to illiberal democracy, but also from the point of view of the radical economic changes expected at the international and national levels. The main question, which at present cannot be answered, is whether life on the planet Earth will be better or worse as a result of these fundamental changes that penetrate our everyday life.

Open access

Gheorghe Andrei, Raluca Gâlmeanu and Florin Radu

Abstract

Accounting it’s an important component of the economic information system. E. Horomnea believes that through specific means and procedures, accounting provides: clarifications of the past and the present of the economic entities, pertinent analyzes that are directed to the market; provides guidance on the strategic future; provides motivations and solutions for the decisions made. This article will analyze the evolution of managerial accounting from traditional costing to the new guidelines, when the issue of creating added value and managing third parties needs represents the future of any information system. After 1987 there are continuous changes and concerns, not only at Romanian level but at world wide scale.