scholarly journals The dynamics of faculty hiring networks

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Eun Lee ◽  
Aaron Clauset ◽  
Daniel B. Larremore
Keyword(s):  
Network Models ◽  
Structural Mechanism ◽  
Faculty Hiring ◽  
Network Characteristics ◽  
Institutional Prestige ◽  
Structural Mechanisms ◽  
Global And Local ◽  
Global Placement ◽  
New Hire

AbstractFaculty hiring networks—who hires whose graduates as faculty—exhibit steep hierarchies, which can reinforce both social and epistemic inequalities in academia. Understanding the mechanisms driving these patterns would inform efforts to diversify the academy and shed new light on the role of hiring in shaping which scientific discoveries are made. Here, we investigate the degree to which structural mechanisms can explain hierarchy and other network characteristics observed in empirical faculty hiring networks. We study a family of adaptive rewiring network models, which reinforce institutional prestige within the hierarchy in five distinct ways. Each mechanism determines the probability that a new hire comes from a particular institution according to that institution’s prestige score, which is inferred from the hiring network’s existing structure. We find that structural inequalities and centrality patterns in real hiring networks are best reproduced by a mechanism of global placement power, in which a new hire is drawn from a particular institution in proportion to the number of previously drawn hires anywhere. On the other hand, network measures of biased visibility are better recapitulated by a mechanism of local placement power, in which a new hire is drawn from a particular institution in proportion to the number of its previous hires already present at the hiring institution. These contrasting results suggest that the underlying structural mechanism reinforcing hierarchies in faculty hiring networks is a mixture of global and local preference for institutional prestige. Under these dynamics, we show that each institution’s position in the hierarchy is remarkably stable, due to a dynamic competition that overwhelmingly favors more prestigious institutions. These results highlight the reinforcing effects of a prestige-based faculty hiring system, and the importance of understanding its ramifications on diversity and innovation in academia.

The Indices of Creative Cities: the Global and Local Aspects

2015 ◽  
Vol 4 (1) ◽  
pp. 95 ◽  
Author(s):  
Tomas Kačerauskas
Keyword(s):  
High Tech ◽  
Melting Pot ◽  
Creative Cities ◽  
Global And Local

The paper deals with the indices of creative cities. Author analyses the different creativity indices suggested by both the followers and the critics of R. Florida. The author criticizes the Florida’s indices such as Bohemian, Melting pot, Gay, High tech, Innovation, Talent indices, as well as Minor integrative (diversity) and Major integrative indices. The indices of other authors presuppose the questions about the role of the region in defining certain creativity indices. The author makes conclusion that the uniform formula of creativity indices is impossible for two reasons. First, the creativity indices depend on the region of a city. Second, the very strategy to have the uniform creativity indices makes the cities similar to each other and no more unique, consequently, no more creative; as result, this strategy is anti-creative.

scholarly journals HOW INDUSTRY 4.0 RESHAPES THE WORLD: RECOMMENDATIONS BASED ON COMPLEX GRAPH NETWORK ANALYSIS

2021 ◽  
Vol 1 ◽  
pp. 1755-1764
Author(s):  
Rongyan Zhou ◽  
Julie Stal-Le Cardinal
Keyword(s):  
Machine Learning ◽  
Industry 4.0 ◽  
Network Models ◽  
Global Supply Chain ◽  
Great Opportunity ◽  
Strategic Research ◽  
Complex Graph ◽  
The World ◽  
Tremendous Challenge

Abstract Industry 4.0 is a great opportunity and a tremendous challenge for every role of society. Our study combines complex network and qualitative methods to analyze the Industry 4.0 macroeconomic issues and global supply chain, which enriches the qualitative analysis and machine learning in macroscopic and strategic research. Unsupervised complex graph network models are used to explore how industry 4.0 reshapes the world. Based on the in-degree and out-degree of the weighted and unweighted edges of each node, combined with the grouping results based on unsupervised learning, our study shows that the cooperation groups of Industry 4.0 are different from the previous traditional alliances. Macroeconomics issues also are studied. Finally, strong cohesive groups and recommendations for businessmen and policymakers are proposed.

Global and local neural network models in biotechnology: Application to different cultivation processes

1997 ◽  
Vol 83 (1) ◽  
pp. 1-11 ◽  
Author(s):  
M.Nazmul Karim ◽  
Toshiomi Yoshida ◽  
Sheyla L. Rivera ◽  
Victor M. Saucedo ◽  
Bernhard Eikens ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Models ◽  
Neural Network Models ◽  
Global And Local ◽  
Biotechnology Application

Quantifying reputation and success in art

Science ◽  
2018 ◽  
Vol 362 (6416) ◽  
pp. 825-829 ◽  
Author(s):  
Samuel P. Fraiberger ◽  
Roberta Sinatra ◽  
Magnus Resch ◽  
Christoph Riedl ◽  
Albert-László Barabási
Keyword(s):  
Dropout Rate ◽  
Career Trajectory ◽  
Exhibition History ◽  
Institutional Prestige ◽  
Early Access ◽  
High Dropout Rate ◽  
History Of ◽  
Long Access ◽  
Rate Limiting

In areas of human activity where performance is difficult to quantify in an objective fashion, reputation and networks of influence play a key role in determining access to resources and rewards. To understand the role of these factors, we reconstructed the exhibition history of half a million artists, mapping out the coexhibition network that captures the movement of art between institutions. Centrality within this network captured institutional prestige, allowing us to explore the career trajectory of individual artists in terms of access to coveted institutions. Early access to prestigious central institutions offered life-long access to high-prestige venues and reduced dropout rate. By contrast, starting at the network periphery resulted in a high dropout rate, limiting access to central institutions. A Markov model predicts the career trajectory of individual artists and documents the strong path and history dependence of valuation in art.

scholarly journals Inquality and the Future of Global History: A Round Table Discussion

2019 ◽  
Vol 3 (1) ◽  
pp. 53-81
Author(s):  
Julia McClure ◽  
Amitava Chowdhury ◽  
Sarah Easterby-Smith ◽  
Norberto Ferreras ◽  
Omar Gueye ◽  
...  
Keyword(s):  
Round Table ◽  
Round Table Discussion ◽  
Global History ◽  
New Directions ◽  
The University ◽  
Global And Local ◽  
North And South America ◽  
North And South ◽  
Local Levels

The following is an edited transcript of a roundtable that took place at the University of Glasgow in September 2018. The roundtable was organized by Dr. Julia McClure in conjunction with the Poverty Research Network’s conference - Beyond Development: The Local Visions of Global Poverty. That conference brought into focus the ways in which the global and local levels meet at the site of poverty and highlighted the different conceptions on the global are generated from the perspective of poverty. The roundtable brought together leading scholars from Europe, Africa, Asia and North and South America to take stock of global history as a field, to consider the role of existing centres of knowledge production, and to assess new directions for the field.

scholarly journals Stakeholder attitudes towards employability in a Sino-British university

2012 ◽  
Vol 3 (1) ◽  
pp. 26-40 ◽  
Author(s):  
Sarah Speight ◽  
Natasa Lackovic ◽  
Lucy Cooker
Keyword(s):  
Research Literature ◽  
Branch Campus ◽  
Specific Context ◽  
Graduate Employability ◽  
The Uk ◽  
The University ◽  
Global And Local ◽  
Support Students ◽  
Stakeholder Attitudes

In 2004 the University of Nottingham opened its branch campus, the University of Nottingham Ningbo China (UNNC). Degree-awarding powers for UNNC remain with the UK, but there is recognition that Nottingham must understand the specific context of its Chinese branch; provision therefore operates according to the principal of equivalence rather than of replication. This paper explores stakeholder attitudes towards the university's Nottingham Advantage Award. This is an extra-curricular programme designed to support students in the development of their 'employability'. Launched in the UK in 2008, it was piloted at UNNC in 2010-11 and is now nearing the end of its first full year of operation. Twenty-three interviews were conducted with staff and students at UNNC. These were analysed alongside interviews carried out in the UK and with reference to the research literature. This provided an understanding of the role of the Award overall and in the UNNC context. The study shows that while stakeholders hold broadly similar views in the UK and China, there are subtle differences of emphasis concerning the understanding of, and responsibility for, learning for employability. In addition, a group of China-specific themes emerged from the UNNC interviews that indicated recognition of the need to differentiate priorities and provision for each site. The paper concludes that the challenge for the Award at UNNC is to serve both global and local agendas and that it should strive to reduce the 'information asymmetry' existing between stakeholders to promote effective graduate employability.

the role of new hire orientation programs

2009 ◽  
Vol 46 (3) ◽  
pp. 115-127 ◽  
Author(s):  
Steven Dunn ◽  
Dale Jasinski
Keyword(s):  
Orientation Programs ◽  
New Hire

Ruling Regions, Exploiting Resources

2013 ◽  
Author(s):  
David J. Mattingly
Keyword(s):  
Economic Theory ◽  
Economic Activity ◽  
Regional Economies ◽  
Colonial Discourse ◽  
Roman Economy ◽  
Roman Imperialism ◽  
Role Of The State ◽  
Imperial Power ◽  
Global And Local

In recent years, debate has started to explore the tensions between global and local aspects of the Roman economic world. This chapter argues that the Roman economy is not only best understood as an agglomeration of globalized regional economies but that we can also define a series of major mechanisms at work that governed discrete areas of economic activity. In particular, it focuses on the role of the state as a motor of economic activity through its status as an imperial power. It constructs some simple models built around colonial discourse analysis, rather than complex economic theory. The main purpose of this chapter is not to outline a new general model for the Roman economy but to reignite debate about the economic face of Roman imperialism.

Spreading Activation Connectivity Based Approach to Network Clustering

2018 ◽  
pp. 207-219
Author(s):  
Alexander Troussov ◽  
Sergey Maruev ◽  
Sergey Vinogradov ◽  
Mikhail Zhizhin
Keyword(s):  
Big Data ◽  
Social Network ◽  
Social Systems ◽  
Network Models ◽  
Real Data ◽  
Spreading Activation ◽  
Network Clustering ◽  
Clustering Method ◽  
Network Characteristics ◽  
Structure Detection

Techno-social systems generate data, which are rather different, than data, traditionally studied in social network analysis and other fields. In massive social networks agents simultaneously participate in several contexts, in different communities. Network models of many real data from techno-social systems reflect various dimensionalities and rationales of actor's actions and interactions. The data are inherently multidimensional, where “everything is deeply intertwingled”. The multidimensional nature of Big Data and the emergence of typical network characteristics in Big Data, makes it reasonable to address the challenges of structure detection in network models, including a) development of novel methods for local overlapping clustering with outliers, b) with near linear performance, c) preferably combined with the computation of the structural importance of nodes. In this chapter the spreading connectivity based clustering method is introduced. The viability of the approach and its advantages are demonstrated on the data from the largest European social network VK.

The Role of Information and Communication Technologies in Knowledge Management

2008 ◽  
pp. 36-45
Author(s):  
Irma Becerra-Fernandez ◽  
Rajiv Sabherwal
Keyword(s):  
Knowledge Management ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Complex Processes ◽  
Rapid Changes ◽  
Growth Of Knowledge ◽  
Information And Communication ◽  
Structural Mechanisms ◽  
Role Of Information

Rapid changes in the field of knowledge management (KM) have to a great extent resulted from the dramatic progress we have witnessed in the field of information and communication technology. ICT allows the movement of information at increasing speeds and efficiencies, and thus facilitates sharing as well as accelerated growth of knowledge. For example, computers capture data from measurements of natural phenomena, and then quickly manipulate the data to better understand the phenomena they represent. Increased computer power at lower prices enables the measurement of increasingly complex processes, which we possibly could only imagine before. Thus, ICT has provided a major impetus for enabling the implementation of KM applications. Moreover, as learning has accrued over time in the area of social and structural mechanisms, such as through mentoring and retreats that enable effective knowledge sharing, it has made it possible to develop KM applications that best leverage these improved mechanisms by deploying sophisticated technologies.

Sign in / Sign up

Export Citation Format

Share Document