Bi-layer network analytics: A methodology for characterizing emerging general-purpose technologies

Zhang, Yi; Wu, Mengjia; Wen, Miao; Huang, Lu; Lu, Jie

doi:10.1016/j.joi.2021.101202

Cited by 20 publications

(8 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Betweenness centrality measures the importance of a node in determining the flow of a network [ 22 ], and thus, in this study a high value of betweenness centrality indicates a crucial role in leading international collaborations. We particularly exploit a weighted betweenness centrality [ 23 ] to highlight the weight of edges (i.e., the frequency of collaboration) when calculating the shortest distance between two nodes. The equation for calculating betweenness centrality bc ( v i ) for node v i is given as follows: where V denotes the total number of nodes in a network, v m and v n are two different nodes in this network, then, represents the number of weighted shortest paths between the two nodes, and particularly measures the number of the weighted shortest paths between the two nodes and crossing node v i .…”

Section: Introductionmentioning

confidence: 99%

One-year in: COVID-19 research at the international level in CORD-19 data

et al. 2022

Self Cite

View full text Add to dashboard Cite

The appearance of a novel coronavirus in late 2019 radically changed the community of researchers working on coronaviruses since the 2002 SARS epidemic. In 2020, coronavirus-related publications grew by 20 times over the previous two years, with 130,000 more researchers publishing on related topics. The United States, the United Kingdom and China led dozens of nations working on coronavirus prior to the pandemic, but leadership consolidated among these three nations in 2020, which collectively accounted for 50% of all papers, garnering well more than 60% of citations. China took an early lead on COVID-19 research, but dropped rapidly in production and international participation through the year. Europe showed an opposite pattern, beginning slowly in publications but growing in contributions during the year. The share of internationally collaborative publications dropped from pre-pandemic rates; single-authored publications grew. For all nations, including China, the number of publications about COVID track closely with the outbreak of COVID-19 cases. Lower-income nations participate very little in COVID-19 research in 2020. Topic maps of internationally collaborative work show the rise of patient care and public health clusters—two topics that were largely absent from coronavirus research in the two years prior to 2020. Findings are consistent with global science as a self-organizing system operating on a reputation-based dynamic.

show abstract

Section: Introductionmentioning

confidence: 99%

One-year in: COVID-19 research at the international level in CORD-19 data

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Resource Allocation (RA): A CN‐based algorithm that allocates resources according to the degree of their CNs (Zhou et al, 2009). Weighted Resource Allocation (WRA): A refined RA algorithm that uses a weighted index to involve edge weights (Zhang, Wu, Miao, et al, 2021b). Semantic Diffusion (SD): To examine whether the drawback of embedding in local text data (Shang et al, 2020) exists in our local bibliometric dataset, we followed the general process of the proposed method but constructed a semantic layer to replace the co‐topic layer.…”

Section: Methodology: Diffusion‐based Network Analyticsmentioning

confidence: 99%

Stepping beyond your comfort zone: Diffusion‐based network analytics for knowledge trajectory recommendation

Zhang

et al. 2023

Asso for Info Science & Tech

Self Cite

View full text Add to dashboard Cite

Predicting a researcher's knowledge trajectories beyond their current foci can leverage potential inter‐/cross‐/multi‐disciplinary interactions to achieve exploratory innovation. In this study, we present a method of diffusion‐based network analytics for knowledge trajectory recommendation. The method begins by constructing a heterogeneous bibliometric network consisting of a co‐topic layer and a co‐authorship layer. A novel link prediction approach with a diffusion strategy is then used to capture the interactions between social elements (e.g., collaboration) and knowledge elements (e.g., technological similarity) in the process of exploratory innovation. This diffusion strategy differentiates the interactions occurring among homogeneous and heterogeneous nodes in the heterogeneous bibliometric network and weights the strengths of these interactions. Two sets of experiments—one with a local dataset and the other with a global dataset—demonstrate that the proposed method is prior to 10 selected baselines in link prediction, recommender systems, and upstream graph representation learning. A case study recommending knowledge trajectories of information scientists with topical hierarchy and explainable mediators reveals the proposed method's reliability and potential practical uses in broad scenarios.

show abstract

“…By integrating sights, sounds, and smells into the natural world as it is, Augmented Reality aids in the physical world. People can interact with both virtual and augmented reality because AR is too similar to the real world [27]. Augmented reality combines the physical and virtual worlds.…”

Section: Augmented Reality (Ar)mentioning

confidence: 99%

A Review on Emerging Trends and Technologies in Library

Nepali¹,

Tamang²

2022

AJIST

View full text Add to dashboard Cite

Library service through mobile technology is a recent trend in library service. Mobile technology and its development have given rise to the excitement of faculty and student fraternity. This type of infrastructure needed by libraries to provide such services. The awareness about technologies like Mobile based services, Augmented Reality, Gamification, Internet of Things applications. The method opted for the study is descriptive and the tool used for collecting information is web survey. Literature related to emerging trends in libraries was collected from similar projects and other related articles from web. The project was started by analysing the technological developments in various libraries, kinds and new trends that emerged recently. Relevant data regarding the topic is also collected from scholarly publications and online databases to review the benefits, usage and the importance of emerging technology trends in libraries. This topic deals with new developments and techniques that are evolving in libraries. Some of the new trends are identified in this work. The limitation of the study is that, as many innovations are being introduced and also developed, only a selected number of technologies are included in the study.

show abstract

Bi-layer network analytics: A methodology for characterizing emerging general-purpose technologies

Cited by 20 publications

References 62 publications

One-year in: COVID-19 research at the international level in CORD-19 data

One-year in: COVID-19 research at the international level in CORD-19 data

Stepping beyond your comfort zone: Diffusion‐based network analytics for knowledge trajectory recommendation

A Review on Emerging Trends and Technologies in Library

Contact Info

Product

Resources

About