scholarly journals Topic-centered Scientific Collaborations of Scholarly Journals in Information Science: A Pilot Study of Implementation

2019 ◽  
Author(s):  
Kwan Yi
Keyword(s):  
Social Network ◽  
Pilot Study ◽  
Information Science ◽  
Collaboration Network ◽  
Collaboration Networks ◽  
Scholarly Journals ◽  
The Past ◽  
Extended Work ◽  
Scientific Collaborations

This proposal is the extended work in implementation of a framework of topic-centered collaboration network. A goal of this study is to investigate the question of: In which topics and in what extent researchers collaborate with others? Topic-centered collaboration networks for two scholarly journals in the field of information science are constructed using bibliographic datasets for the past five years. This proposal contributes to the areas of both collaboration social network and big metadata.

Research Activities and Networks in CAIS Conferences for the Period of 1993- 2015: Social Network Analysis

1969 ◽  
Author(s):  
Kwan Yi ◽  
Tao Jin ◽  
Ping Li
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Collaborative Research ◽  
Information Science ◽  
Research Collaboration ◽  
Collaboration Network ◽  
Research Activities ◽  
Canadian Association ◽  
Collaborative Activities

Since 1973 the Canadian Association for Information Science (CAIS/ACSI) has consecutively held 43 annual conferences. The purpose of this study is to better understand the research and collaborative activities in the community of CAIS conferences, based on a social network analysis (SNA) approach. A total of 827 papers from 778 authors have been presented in CAIS for the period of 1993 to 2015, in association with 209 different organizations and 25 countries. A component analysis that has been applied to the collaboration network has discovered research collaboration patterns. This study contributes to discovering collaborative research activities and formation through the CAIS conference and to the literature of the scientific collaboration in the LIS field. Depuis 1973, l'Association canadienne de sciences de l'information (ACSI/CAIS) a tenu 43 congrès annuels consécutifs. Le but de cette étude est de mieux comprendre les activités de recherche et de collaboration dans la communauté de l’ACSI, à l’aide d’une approche d’analyse des réseaux sociaux (ARS). Un total de 827 articles de 778 auteurs ont été présentés à l’ACSI dans la période 1993-2015, en association avec 209 organisations différentes et 25 pays. L’analyse des composantes du réseau de collaboration met en lumière l’existence de patrons de collaboration de recherche au sein de la communauté. Cette étude contribue à l’étude des activités  de collaboration au sein des congrès de l’ACSI ainsi qu’à la littérature sur la collaboration scientifique dans le domaine BSI.

scholarly journals Anatomy of funded research in science

2015 ◽  
Vol 112 (48) ◽  
pp. 14760-14765 ◽  
Author(s):  
Athen Ma ◽  
Raúl J. Mondragón ◽  
Vito Latora
Keyword(s):  
Driving Forces ◽  
Research Strategy ◽  
Future Research ◽  
Collaboration Network ◽  
Collaboration Networks ◽  
Rich Club ◽  
The Past ◽  
Knowledge Brokers ◽  
Determining Factor ◽  
External Driving

Seeking research funding is an essential part of academic life. Funded projects are primarily collaborative in nature through internal and external partnerships, but what role does funding play in the formulation of these partnerships? Here, by examining over 43,000 scientific projects funded over the past three decades by one of the major government research agencies in the world, we characterize how the funding landscape has changed and its impacts on the underlying collaboration networks across different scales. We observed rising inequality in the distribution of funding and that its effect was most noticeable at the institutional level—the leading universities diversified their collaborations and increasingly became the knowledge brokers in the collaboration network. Furthermore, it emerged that these leading universities formed a rich club (i.e., a cohesive core through their close ties) and this reliance among them seemed to be a determining factor for their research success, with the elites in the core overattracting resources but also rewarding in terms of both research breadth and depth. Our results reveal how collaboration networks organize in response to external driving forces, which can have major ramifications on future research strategy and government policy.

scholarly journals Uma Análise da Produção Técnica e de Colégios Invisíveis com Ênfase nas Patentes Brasileiras

2021 ◽  
Author(s):  
Thiago Magela Rodrigues Dias ◽  
João Vitor de Melo Machado ◽  
Patrícia Mascarenhas Dias
Keyword(s):  
Social Network ◽  
Scientific Collaboration ◽  
Temporal Analysis ◽  
Collaboration Network ◽  
Collaboration Networks ◽  
Collaboration Process ◽  
Network Metrics ◽  
Technical Products ◽  
Identification And Characterization

Analyzes of scientific collaboration networks have been extensively explored in research from different areas of knowledge, in view of their ability to identify how groups of researchers have carried out their work collectively. Such studies make it possible to identify how collaboration between individuals occurs through analyzes based on social network metrics. In this context, new studies have been proposed in order to analyze collaboration in the development of technical products, with data on patents being studied in most studies. This type of analysis is relevant because it makes it possible to understand the collaboration process in the proposal of new inventions. In this work, initially a general characterization of the group of individuals analyzed is presented, and afterwards, a global and temporal analysis of the collaboration network is performed in the proposal of patents of Brazilian individuals with curricula registered in the Lattes Platform. For that, all the patents registered in the curricula of these individuals were used for the identification and characterization of the collaboration networks. As a result, it is possible to see how collaboration in the proposed inventions of the analyzed set has been intensified over the years, with an emphasis on the institutions and areas of expertise of each inventor.

scholarly journals Stakeholder theory and management: Understanding longitudinal collaboration networks

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0255658
Author(s):  
Julian Fares ◽  
Kon Shing Kenneth Chung ◽  
Alireza Abbasi
Keyword(s):  
Social Network ◽  
Stakeholder Theory ◽  
Research Collaboration ◽  
Research Performance ◽  
Positive Association ◽  
Collaboration Network ◽  
Collaboration Networks ◽  
Collaborative Relationships ◽  
Policy Makers ◽  
Network Properties

This paper explores the evolution of research collaboration networks in the ‘stakeholder theory and management’ (STM) discipline and identifies the longitudinal effect of co-authorship networks on research performance, i.e., research productivity and citation counts. Research articles totaling 6,127 records from 1989 to 2020 were harvested from the Web of Science Database and transformed into bibliometric data using Bibexcel, followed by applying social network analysis to compare and analyze scientific collaboration networks at the author, institution and country levels. This work maps the structure of these networks across three consecutive sub-periods (t1: 1989–1999; t2: 2000–2010; t3: 2011–2020) and explores the association between authors’ social network properties and their research performance. The results show that authors collaboration network was fragmented all through the periods, however, with an increase in the number and size of cliques. Similar results were observed in the institutional collaboration network but with less fragmentation between institutions reflected by the increase in network density as time passed. The international collaboration had evolved from an uncondensed, fragmented and highly centralized network, to a highly dense and less fragmented network in t3. Moreover, a positive association was reported between authors’ research performance and centrality and structural hole measures in t3 as opposed to ego-density, constraint and tie strength in t1. The findings can be used by policy makers to improve collaboration and develop research programs that can enhance several scientific fields. Central authors identified in the networks are better positioned to receive government funding, maximize research outputs and improve research community reputation. Viewed from a network’s perspective, scientists can understand how collaborative relationships influence research performance and consider where to invest their decision and choices.

RESEARCH COLLABORATION AMONG LIBRARY AND INFORMATION SCIENCE SCHOOLS IN SOUTH AFRICA (1991–2012): AN INFORMETRICS STUDY

Mousaion ◽  
2017 ◽  
Vol 34 (3) ◽  
pp. 36-59 ◽  
Author(s):  
Jan R. Maluleka ◽  
Omwoyo B. Onyancha
Keyword(s):  
South Africa ◽  
Information Science ◽  
Research Collaboration ◽  
Science And Technology ◽  
Library And Information Science ◽  
Limited Extent ◽  
Microsoft Excel ◽  
The Past ◽  
Software Packages ◽  
Collaborative Activities

This study sought to assess the extent of research collaboration in Library and Information Science (LIS) schools in South Africa between 1991 and 2012. Informetric research techniques were used to obtain relevant data for the study. The data was extracted from two EBSCO-hosted databases, namely, Library and Information Science Source (LISS) and Library, Information Science and Technology Abstracts (LISTA). The search was limited to scholarly peer reviewed articles published between 1991 and 2012. The data was analysed using Microsoft Excel ©2010 and UCINET for Windows ©2002 software packages. The findings revealed that research collaboration in LIS schools in South Africa has increased over the past two decades and mainly occurred between colleagues from the same department and institution; there were also collaborative activities at other levels, such as inter-institutional and inter-country, although to a limited extent; differences were noticeable when ranking authors according to different computations of their collaborative contributions; and educator-practitioner collaboration was rare. Several conclusions and recommendations based on the findings are offered in the article.

The Oxford Handbook of Social Networks

2020 ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Life ◽  
Information Science ◽  
Computational Social Science ◽  
The Social ◽  
Diverse Field ◽  
The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

scholarly journals An Information Recommendation Technique Based on Influence and Activeness of Users in Social Networks

2021 ◽  
Vol 11 (6) ◽  
pp. 2530
Author(s):  
Minsoo Lee ◽  
Soyeon Oh
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Recommendation Systems ◽  
Network Services ◽  
The Past ◽  
User Behaviors ◽  
User Influence ◽  
User Activity ◽  
Information Recommendation ◽  
Social Network Services

Over the past few years, the number of users of social network services has been exponentially increasing and it is now a natural source of data that can be used by recommendation systems to provide important services to humans by analyzing applicable data and providing personalized information to users. In this paper, we propose an information recommendation technique that enables smart recommendations based on two specific types of analysis on user behaviors, such as the user influence and user activity. The components to measure the user influence and user activity are identified. The accuracy of the information recommendation is verified using Yelp data and shows significantly promising results that could create smarter information recommendation systems.

scholarly journals Is academia becoming more localised? The growth of regional knowledge networks within international research collaboration

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
John Fitzgerald ◽  
Sanna Ojanperä ◽  
Neave O’Clery
Keyword(s):  
Economic Development ◽  
International Collaboration ◽  
International Research ◽  
Research Collaboration ◽  
Learning By Doing ◽  
Knowledge Networks ◽  
Collaboration Network ◽  
International Research Collaboration ◽  
The Past ◽  
Capability Building

AbstractIt is well-established that the process of learning and capability building is core to economic development and structural transformation. Since knowledge is ‘sticky’, a key component of this process is learning-by-doing, which can be achieved via a variety of mechanisms including international research collaboration. Uncovering significant inter-country research ties using Scopus co-authorship data, we show that within-region collaboration has increased over the past five decades relative to international collaboration. Further supporting this insight, we find that while communities present in the global collaboration network before 2000 were often based on historical geopolitical or colonial lines, in more recent years they increasingly align with a simple partition of countries by regions. These findings are unexpected in light of a presumed continual increase in globalisation, and have significant implications for the design of programmes aimed at promoting international research collaboration and knowledge diffusion.

A New Dimension in the Study of Human Functional Joint Instability

2012 ◽  
Vol 249-250 ◽  
pp. 1271-1276
Author(s):  
Wen Liu ◽  
Tarang Jain ◽  
Clayton Wauneka
Keyword(s):  
Electrical Stimulation ◽  
Pilot Study ◽  
Joint Instability ◽  
Ankle Instability ◽  
Soft Tissue Injuries ◽  
Functional Ankle Instability ◽  
The Past ◽  
Upright Standing ◽  
Unloading Reaction ◽  
Testing Condition

Functional joint instability is common after joint soft tissue injuries. We present in this report our pilot finding in a study of functional ankle instability. Although past studies have suggested multiple pathological factors for functional ankle instability, none of those factors has been confirmed in the past studies. More importantly, no known factor can provide an explanation for an ankle giving way phenomenon which is a key element in defining a functional ankle instability. In this pilot study, we tested five subjects with functional ankle instability using a dynamic ankle stretching device combined with nociceptive electrical stimulation. Three out of five subjects showed a drastic reaction in which they totally gave up their control of upright standing after their affected ankles were under the combined ankle stretch and nociceptive stimuli. Such drastic reaction was not observed in the same ankles under only the ankle stretch. There was no such drastic reaction in the unaffected ankle under either testing condition. This pilot finding indicates a possibility of a hyper-reactivity to unloading reaction in the ankles with functional ankle instability

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