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While the concept of vital statistics is rich in meaning, standardization of these valuable data has eluded governments, intergovernmental organizations (IGOs), non‐governmental organizations (NGOs), and demographic researchers. Primarily due to discrepancies of sociopolitical systems and availability of resources, international vital statistics are diverse and variant in terms of vital classification and registration and data processing and reporting. That said, birth, death, marriage, and divorce data are generally included in reported vital statistics. In recent decades, research institutes, universities, IGOs particularly the United Nations (UN), and NGOs have been working hard to organize, collect, and disseminate vital statistics from developing countries. This article analytically presents an overview of global patterns of vital registrations and numerations. It examines the major resources of international vital statistics, including registers, surveys, and print and digital materials. This literature presents a selection of surveys, monographs, serials, periodicals, databases, portals, and homepages based on their relevancy to information and scholarship related to international vital statistics.

Citation content in academic papers and academic monographs promotes the knowledge flow among different publications. However, existing citation content analysis (CCA) focuses on academic papers and monographs have not received much research attention. We want to know if monographs are appropriate objects of CCA and whether existing methods of analyzing citation in papers are suitable for citation in monographs. Therefore, this paper aims to learn more about features of cited references and citation content in monographs and compare the characteristic of citation pattern between monographs and papers.

The authors manually annotate the references and syntactic citation content in academic monographs published by Morgan & Claypool and automatically extracted the references and citation content from academic papers published by Public Library of Science. Five features in two types citation pattern, namely, pattern of cited reference (including year, source and mention frequency of reference) and pattern of citation content (including location, length of citation content) are used to examine similarities and differences between monographs and papers.

The results indicate that between monographs and papers, differences are shown in location, length of citation content and year, source of reference, whereas frequency of mention of reference is similar.

Previous studies have explored the patter of citation content in academic papers. However, none of the existing literature, as far as the authors know, has considered the citation content in academic monographs and the similarities or differences among academic documents when studying the citation pattern.

No scholarly publications have systematically studied the evolution and growth of China's scientific papers of library and information science published in the English language and covered by ISI during the reform era starting in 1979. It is intended that this paper should fill this gap.

This study surveys ISI library and information science papers authored by researchers of China during 1979‐2009 and quantitatively presents the development of scholarly publications authored by researchers from China. A total of 30 years of data of ISI literature are collected and analyzed, and the paper conducts an international comparison of research productivity among leading Asian countries.

The paper establishes the patterns and trends of papers authored by Chinese authors, particularly the top subject areas and top journals in which Chinese papers are highly represented. Besides, the paper makes an international comparison between China and other major Asian countries such as India, Japan, and Korea in terms of library and information science research outputs represented in ISI literature. China has become the leader in terms of research productivity of library and information science.

This study focuses on English‐language journal articles only. Only journals meeting ISI inclusion criteria are reviewed and analyzed. The possible accidentally inaccurate entries in the original ISI data have not been checked for accuracy and consistency for each journal article record.

The paper provided an example of using the powerful ISI databases of citation indexes, particularly ISI SCCI, in a cautious and critical way. It empirically presents the overall upward development of China's scholarship of library and information science. Either the Greater China area as a whole or Mainland China alone has become the leader in the scholarly publications in library and information ahead of India, Korea and Japan.

Basic education (primary and junior secondary schooling) in China has experienced phenomenal development in the reform era from the late 1970s. The most important reform policies; namely, decentralization of governance and diversification of finance, have been translated into an unprecedented scale of resource mobilization for schooling expansion. This article examines China’s education finance reform and basic education development. It analyzes international aid and assistance, particularly major basic education projects financed by the World Bank and other international organizations. The article argues that China is not necessarily “in the driving seat” in cooperation with the World Bank, and that the bank does not play purely “a pivotal positive role” in helping develop Chinese basic education. In spite of its huge aid and assistance in China, the bank, to a certain extent, also contributes to the formation of China’s bifurcated schooling system.

The past two decades have witnessed the rapid developments in distance education. Though debates surrounding issues related to distance education have yet abated, more and more institutions, entrepreneurs, educators, and learners embrace distance education with the aid of improved information technologies. The present guide introduces the historical development, major theories, and leading agencies and organizations associated with the discipline. Furthermore, it provides an annotated selection of resources including periodicals, books and monographs, and Internet sites. Though emphasis is placed on representative resources and information of distance education of the USA, important international resources are also analytically introduced.

Based on user-generated content from a Chinese social media platform, this paper aims to investigate multiple methods of constructing user profiles and their effectiveness in predicting their gender, age and geographic location.

This investigation collected 331,634 posts from 4,440 users of Sina Weibo. The data were divided into two parts, for training and testing . First, a vector space model and topic models were applied to construct user profiles. A classification model was then learned by a support vector machine according to the training data set. Finally, we used the classification model to predict users’ gender, age and geographic location in the testing data set.

The results revealed that in constructing user profiles, latent semantic analysis performed better on the task of predicting gender and age. By contrast, the method based on a traditional vector space model worked better in making predictions regarding the geographic location. In the process of applying a topic model to construct user profiles, the authors found that different prediction tasks should use different numbers of topics.

This study explores different user profile construction methods to predict Chinese social media network users’ gender, age and geographic location. The results of this paper will help to improve the quality of personal information gathered from social media platforms, and thereby improve personalized recommendation systems and personalized marketing.

In the era of artificial intelligence (AI), algorithms have gained unprecedented importance. Scientific studies have shown that algorithms are frequently mentioned in papers, making mention frequency a classical indicator of their popularity and influence. However, contemporary methods for evaluating influence tend to focus solely on individual algorithms, disregarding the collective impact resulting from the interconnectedness of these algorithms, which can provide a new way to reveal their roles and importance within algorithm clusters. This paper aims to build the co-occurrence network of algorithms in the natural language processing field based on the full-text content of academic papers and analyze the academic influence of algorithms in the group based on the features of the network.

We use deep learning models to extract algorithm entities from articles and construct the whole, cumulative and annual co-occurrence networks. We first analyze the characteristics of algorithm networks and then use various centrality metrics to obtain the score and ranking of group influence for each algorithm in the whole domain and each year. Finally, we analyze the influence evolution of different representative algorithms.

The results indicate that algorithm networks also have the characteristics of complex networks, with tight connections between nodes developing over approximately four decades. For different algorithms, algorithms that are classic, high-performing and appear at the junctions of different eras can possess high popularity, control, central position and balanced influence in the network. As an algorithm gradually diminishes its sway within the group, it typically loses its core position first, followed by a dwindling association with other algorithms.

To the best of the authors’ knowledge, this paper is the first large-scale analysis of algorithm networks. The extensive temporal coverage, spanning over four decades of academic publications, ensures the depth and integrity of the network. Our results serve as a cornerstone for constructing multifaceted networks interlinking algorithms, scholars and tasks, facilitating future exploration of their scientific roles and semantic relations.

Aluminum alloy is considered an ideal material in aerospace, automobile and other fields because of its lightweight, high specific strength and easy processing. However, low hardness and strength of the surface of aluminum alloys are the main factors that limit their applications. The purpose of this study is to obtain a composite coating with high hardness and lubricating properties by applying GO–PVA over MAO coating.

A pulsed bipolar power supply was used as power supply to prepare the micro-arc oxidation (MAO) coating on 6061 aluminum sample. Then a graphene oxide-polyvinyl alcohol (GO–PVA) composite coating was prepared on MAO coating for subsequent experiments. Samples were characterized by Fourier infrared spectroscopy, X-ray diffraction, Raman spectroscopy and thermogravimetric analysis. The friction test is carried out by the relative movement of the copper ball and the aluminum disk on the friction tester.

Results showed that the friction coefficient of MAO samples was reduced by 80% after treated with GO–PVA composite film.

This research has made a certain contribution to the surface hardness and tribological issues involved in the lightweight design of aluminum alloys.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-12-2023-0427/