scholarly journals Network analysis of ten thousand genomes shed light on Pseudomonas diversity and classification

2021 ◽  
pp. 126919
Author(s):  
Hemanoel Passarelli-Araujo ◽  
Glória Regina Franco ◽  
Thiago M. Venancio
Keyword(s):  
2014 ◽  
Vol 47 (02) ◽  
pp. 468-476 ◽  
Author(s):  
Erin R. Graham ◽  
Charles R. Shipan ◽  
Craig Volden

ABSTRACTWhat factors inhibit or facilitate cross-subfield conversations in political science? This article draws on diffusion scholarship to gain insight into cross-subfield communication. Diffusion scholarship represents a case where such communication might be expected, given that similar diffusion processes are analyzed in American politics, comparative politics, and international relations. We identify nearly 800 journal articles published on diffusion within political science between 1958 and 2008. Using network analysis we investigate the degree to which three “common culprits”—terminology, methodological approach, and journal type—influence levels of integration. We find the highest levels of integration among scholars using similar terms to describe diffusion processes, sharing a methodological approach (especially in quantitative scholarship), and publishing in a common set of subfield journals. These findings shed light on when cross-subfield communication is likely to occur with ease and when barriers may prove prohibitive.


2020 ◽  
Author(s):  
Sandra Ziewiecki ◽  
Carsten Schwemmer

Social media are increasingly important for adolescents in Germany. At the same time, social media are used by influencers because of monetary incentives such as product placement. This study deals with networking between influencers by conducting network analysis of the most popular German YouTube channels. Results shed light on structures of commercialization, which in turn have important implications for media consumption of adolescents.


Author(s):  
Zeev Maoz

Network analysis has been one of the fastest-growing approaches to the study of politics in general and the study of international politics in particular. Network analysis relies on several key assumptions: (a) relations are interdependent, (b) complex relations give rise to emergent and unintended structures, (c) agents’ choices affect structure and structure affects agents’ choices, and (d) once we understand the emergent properties of a system and the interrelations between agents and structure, we can generalize across levels of analysis. These assumptions parallel many of the key features of international relations. Key contributions of network analysis helps shed light on important puzzles in the study and research of international relations. Specifically, (a) network analytic studies helped refine many key concepts and measures of various aspects of international politics; (b) network analysis helped unpack structures of interdependence, uncovering endogenous network effects that have caused biased inferences of dyadic behavior; (c) network analytic studies have shed light on important aspects of emergent structures and previously unrealized units of analysis (e.g., endogenous groups); and (d) network analytic studies helped resolve multiple puzzles, wherein results found at one level of analysis contradicted those found at other levels of analysis.


2021 ◽  
Author(s):  
Hemanoel Passarelli-Araujo ◽  
Gloria Regina Franco ◽  
Thiago Motta Venancio

The growth of sequenced bacterial genomes has revolutionized the assessment of microbial diversity. Pseudomonas is a widely diverse genus, comprising isolates associated with processes from pathogenesis to biotechnological applications. However, this high diversity led to historical taxonomic inconsistencies. Although type strains have been employed to estimate Pseudomonas diversity, they represent a small fraction of the genomic diversity at a genus level. We used 10,035 available Pseudomonas genomes, including 210 type strains, to build a genomic distance network to estimate the number of species through community identification. We identified inconsistencies with several type strains and found that 25.65% of the Pseudomonas genomes deposited on Genbank are misclassified. We retrieved the 13 main Pseudomonas groups and proposed P. alcaligenes as a new group. Finally, this work provides new insights on the phylogenetic boundaries of Pseudomonas and highlights that the Pseudomonas diversity has been hitherto overlooked.


2018 ◽  
Vol 42 (4) ◽  
pp. 395-421 ◽  
Author(s):  
Reza Yousefi Nooraie ◽  
Sobia Khan ◽  
Jennifer Gutberg ◽  
G. Ross Baker

Although implementation models broadly recognize the importance of social relationships, our knowledge about applying social network analysis (SNA) to formative, process, and outcome evaluations of health system interventions is limited. We explored applications of adopting an SNA lens to inform implementation planning, engagement and execution, and evaluation. We used Health Links, a province-wide program in Canada aiming to improve care coordination among multiple providers of high-needs patients, as an example of a health system intervention. At the planning phase, an SNA can depict the structure, network influencers, and composition of clusters at various levels. It can inform the engagement and execution by identifying potential targets (e.g., opinion leaders) and by revealing structural gaps and clusters. It can also be used to assess the outcomes of the intervention, such as its success in increasing network connectivity; changing the position of certain actors; and bridging across specialties, organizations, and sectors. We provided an overview of how an SNA lens can shed light on the complexity of implementation along the entire implementation pathway, by revealing the relational barriers and facilitators, the application of network-informed and network-altering interventions, and testing hypotheses on network consequences of the implementation.


2020 ◽  
Vol 141 (6) ◽  
pp. 522-533 ◽  
Author(s):  
J. Scott ◽  
F. Bellivier ◽  
M. Manchia ◽  
T. Schulze ◽  
M. Alda ◽  
...  

2020 ◽  
pp. 147490412097229
Author(s):  
Ida M Lunde ◽  
Eli Ottesen

Increasingly, school leaders and teachers are being expected to use digital technologies to collect data to analyze, plan and organize teaching and learning. Such expectations can be traced to a number of policy initiatives over the last decade. This study is concerned with how educational policy puts forward ambitions of digital school leadership and teaching practices by deploying the concept of policy assemblage. We analyzed six policy documents from Ireland and Norway to identify the actors assembled to fulfill governmental ambitions and practices with digital technologies in schools. The unpacking of actors that may partake in such assemblages was visualized and analyzed using visual network analysis. The findings indicate digital school leadership and teaching practices in Ireland and Norway have the potential to be steered by digital actors that facilitate multiple activities at once and shed light on the diverse and multifaceted relationships that make up these governing practices.


Author(s):  
Melanie Conroy ◽  
Kimmo Elo

This chapter uses network analysis to explore, visualise and analyse quantitative historical data related to political resistance movements in the former East Germany. The study applies historical network analysis (HNA) rooted in social network analysis (SNA) to shed light on the structure and dynamics of the geospatial social networks of a sample group within the East German opposition movement between 1975 and 1990. In particular the opportunities and limits of using network analysis for historical studies are discussed which demonstrates how network graphs can be useful for historical analysis. The network analysis is used to help the researcher to identify which individuals are more likely to be well integrated into the group and which individuals are less central to the group, regardless of which individuals are most well-known or prominent. In particular, we point to the fact that knowledge of the government’s repressive actions and the opposition movement’s attempts to evade repression are fundamental to understanding the geospatial and social changes within this group during this period.


Author(s):  
John Peterson

This chapter examines the policy network approach to the analysis of European governance. The European Union has three primary features that lend itself to policy network analysis: the formidable power of the European Parliament (EP), EU’s status as an extraordinarily ‘differentiated polity’, and the fact that EU policy-making is underpinned by a complex labyrinth of committees that shape policy options before policies are ‘set’ by overtly political decisionmakers such as the EP. The chapter first traces the origins of policy network analysis before explaining the importance of policy networks for European integration. It then considers a host of criticisms levelled against policy network analysis and the application of the approach to Eurojust and the European Judicial Network. It also shows how policy network analysis might help us to shed light on the EU after its radical enlargement and concludes by reflecting on the future of policy network analysis.


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