Frontiers in research metrics and analytics最新文献

Introduction: This study examines the associations between time series, termed "coherency," using spectral analysis. Coherence squared, analogous to the squared correlation coefficient, serves as a metric to quantify the degree of interdependence and co-evolution of individual nodes.

Methods: We utilized spectral analysis to compute coherence squared, unveiling relationships and co-evolution patterns among individual nodes. The resultant matrix of these relationships was subjected to network analysis.

Results: By conducting a case study analyzing tweets associated with the co-hashtags #StopAsianHate and #BlackLivesMatter, we present a novel approach utilizing coherency network analysis to investigate the dynamics of social media text. Frequency domain analysis aided in calculating coherence squared, effectively illustrating the relationships and co-evolution of individual nodes. Furthermore, an analysis of the phase spectrum's slope facilitated the determination of time lag and potential causality direction between highly co-evolved node pairs.

Discussion: Our findings underline the potential of coherency network analysis in comprehending the intricate dynamics of social media text. This approach offers valuable insights into how topics, sentiments, or movements manifest and evolve within the digital realm. Future research should explore diverse datasets and domains to broaden our understanding of this novel analytical technique.

[This corrects the article DOI: 10.3389/frma.2023.1188131.].

In this article, we use the framework of chronopolitics and racialized time to explore our experiences as professors of color at predominantly white institutions who strive to do emancipatory, community-driven research. Our shared work as organizers for Education for Liberation Minnesota (EdLibMN), a grassroots organization working to bring together various constituencies in Minnesota to organize for educational justice, led us to think together about chronopolitics as a framework to understand how our scholarly commitments to social transformation and liberatory education impact our labor and teaching practices at our institutions. This framework allows us to examine our relationships with communities in our individual research and advocacy contexts as well as in our shared work as organizers for EdLibMN. In particular, we explore how the urgency and timeline of our community-based advocacy work and the rhythms and improvisation of participatory action research are juxtaposed with the surveillance and evaluation of our labor and the urgency of "tenure clocks" at our institutions. We end by discussing our own transformational learning through our collaborations with community researchers and organizers. We speculate about the possibilities of bending time-the chronopolitics of collective struggle and joy-that allows us to focus on building relationships as a central tenet of emancipatory research practices and to ensure our own health and wellbeing as scholar-activists of color.

The goal of this paper is to introduce Sciducio, a practical framework for guiding the development and leadership of an academic research environment. The principal audience for this framework is new academics, that is individuals beginning a tenure-track position in the U.S or a lecturing position elsewhere in the world. However, we also believe this framework will be of use to established academics searching for structure, academics moving to a new institution, and can serve as a training tool for doctoral and postdoctoral mentees. We briefly describe the theory supporting Sciducio, outline the framework and its individual components (blocks), then provide suggested instructions for use. We provide suggested instructions (i.e., descriptive rather than prescriptive), because there is no one-size-fits-all approach for ensuring success. Sciducio incorporates three domains (Plan, Manage, and Deliver), encompasses eight blocks, and is intended to fit on one-sheet of paper or one screen. The Plan domain includes the blocks: value, strategy, and leadership. The Manage domain includes the blocks: activities, key resources, and finances. The Deliver domain includes the blocks: solution and channels. Considering each of the framework blocks is complex, we cannot provide full justice to each component. This paper serves as a general overview and subsequent papers will be more topic specific. Additionally, we encourage others to contribute to and advance this framework.

This article introduces work in progress to develop a new, open biomedical map of science (OBMS) using the PubMed citation database. The new science map represents bimodal network relationships between journals and medical subject heading (MeSH) descriptors, based on a journal's articles indexed in the MEDLINE component of PubMed. We review the current efforts to use PubMed data in science of science studies and science mapping. As part of the development process, we compare the journals indexed in PubMed with journals included in the 2011 UCSD map of science to establish a baseline of disciplinary coverage of PubMed for the period 2009-2019. Journal article frequency is analyzed to establish the minimum number of citations required by a journal for inclusion in a map of science. A prototype OBMS is presented, and we discuss the strengths and weaknesses of the OBMS, as well as the next steps for using and productizing this new open map for general and free usage.