Asymmetric spillover and network connectedness between Gold, Brent oil and EU subsector markets

2021 ◽  
pp. 101487
Author(s):  
Walid Mensi ◽  
Imran Yousaf ◽  
Xuan Vinh Vo ◽  
Sang Hoon Kang
Keyword(s):  
Network Connectedness

Global Network Connectedness across Housing Markets

2017 ◽  
Vol 25 (4) ◽  
pp. 73-101
Author(s):  
Woo Suk Lee ◽  
◽  
Hahn Shik Lee ◽  
Keyword(s):  
Housing Markets ◽  
Global Network ◽  
Network Connectedness

Audit Firms as Networks of Offices

2017 ◽  
Vol 37 (3) ◽  
pp. 211-242 ◽  
Author(s):  
Scott E. Seavey ◽  
Michael J Imhof ◽  
Tiffany J. Westfall
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Network Effects ◽  
Audit Quality ◽  
Discretionary Accruals ◽  
Big 4 ◽  
Audit Firms ◽  
Network Connectedness ◽  
Partner Knowledge ◽  
Office Level

SUMMARY Prior audit research suggests that most, if not all, audit quality can be explained at the office level. However, the question remains of whether office-level audit quality is contingent on how individual offices relate to the firm as a whole. Motivated by theories of knowledge management, organizational learning, and networks, we posit that individual offices are connected to their audit network through partner knowledge sharing and oversight, which impact office-level audit quality. We interview Big 4 audit partners and learn that knowledge sharing between partners in different offices is common and intended to aid in the provision of audit services. Using network connectedness to proxy for knowledge sharing and oversight between offices of the same firm, we document that more connected offices are associated with fewer client restatements and lower discretionary accruals. We additionally find that network effects are magnified when accounting treatments are more complex and require greater auditor judgement.

scholarly journals Topological measures for identifying and predicting the spread of complex contagions

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Douglas Guilbeault ◽  
Damon Centola
Keyword(s):  
Social Networks ◽  
Shortest Path ◽  
Empirical Data ◽  
Path Length ◽  
Centrality Measures ◽  
Social Phenomena ◽  
Node Centrality ◽  
Network Connectedness ◽  
Topological Measures ◽  
Definition Of

AbstractThe standard measure of distance in social networks – average shortest path length – assumes a model of “simple” contagion, in which people only need exposure to influence from one peer to adopt the contagion. However, many social phenomena are “complex” contagions, for which people need exposure to multiple peers before they adopt. Here, we show that the classical measure of path length fails to define network connectedness and node centrality for complex contagions. Centrality measures and seeding strategies based on the classical definition of path length frequently misidentify the network features that are most effective for spreading complex contagions. To address these issues, we derive measures of complex path length and complex centrality, which significantly improve the capacity to identify the network structures and central individuals best suited for spreading complex contagions. We validate our theory using empirical data on the spread of a microfinance program in 43 rural Indian villages.

Asymmetric spillover and network connectedness between crude oil, gold, and Chinese sector stock markets

2021 ◽  
Vol 98 ◽  
pp. 105262
Author(s):  
Walid Mensi ◽  
Abdel Razzaq Al Rababa'a ◽  
Xuan Vinh Vo ◽  
Sang Hoon Kang
Keyword(s):  
Crude Oil ◽  
Stock Markets ◽  
Network Connectedness

Investigating Leader Self-Efficacy Through Policy Engagement and Social Network Position

2018 ◽  
Vol 34 (3) ◽  
pp. 411-448 ◽  
Author(s):  
Yi-Hwa Liou ◽  
Alan J. Daly
Keyword(s):  
Social Network ◽  
Self Efficacy ◽  
Common Core State Standards ◽  
State Standards ◽  
Work Effort ◽  
Core State ◽  
Network Position ◽  
Network Connectedness ◽  
Policy Engagement ◽  
Social Network Position

Leaders’ self-efficacy has recently been identified as a critical component in the success of educational reform. In educational policy and leadership, little attention has been paid to leaders’ self-efficacy beliefs as they go about the implementation of Common Core State Standards (CCSS). This study seeks to understand leaders’ CCSS self-efficacy by examining the level of CCSS-focused engagement and the degree of leaders’ network connectedness from a social learning perspective. Findings suggest leaders who report higher levels of CCSS-focused engagement tend to be more efficacious about implementing CCSS. Such a relationship is mediated by leaders’ social network position in providing CCSS advice and work effort recognition to their fellow administrators.

Regularity and Variability

2014 ◽  
Vol 11 (4) ◽  
pp. 19-31 ◽  
Author(s):  
Lun Zhang ◽  
Jonathan J. H. Zhu
Keyword(s):  
Social Interactions ◽  
Multinomial Logistic Regression ◽  
Growth Patterns ◽  
Friendship Formation ◽  
Interpersonal Communications ◽  
Network Connectedness ◽  
Power Pattern ◽  
The One ◽  
Personal Strategy ◽  
Practical Implications

Social network sites (SNSs) have brought revolutionary changes to individuals' social interactions. The growth of online personal relationships is crucial for understanding current interpersonal communications and network dynamics. In the context of a Chinese SNS, this study provides an empirical presentation of the growth patterns of individuals' online friendships. This study uncovers the regularity as well as the variability of such growth patterns. On the one hand, the friendship growth patterns show regularity in that the time trajectory of friendship growth for most users levels off at some point of their friendship formation. On the other hand, the growth patterns of online friendships also demonstrate variability. There are three essentially different growth patterns emerged: the logistic pattern (i.e., S-shape), the double-logistic pattern (i.e., double-S shape), and the power pattern (i.e., rotated-L shape). By employing multinomial logistic regression, this study further found that network connectedness lead to the differences in these growth patterns of online friendships. However, a user's personal strategy of online friendship formation is found to have a nil effect on explaining the differences in growth patterns of online friendships. This paper concludes by discussing the theoretical and practical implications of the growth patterns of online relationships.

scholarly journals Academic benefit of outgroup contact for immigrant and nonimmigrant students

2019 ◽  
Vol 22 (3) ◽  
pp. 419-433 ◽  
Author(s):  
Ralf Wölfer ◽  
Daniel H. Caro ◽  
Miles Hewstone
Keyword(s):  
Academic Achievement ◽  
Social Network ◽  
Cognitive Abilities ◽  
Multilevel Models ◽  
Immigrant Students ◽  
Social Network Data ◽  
The Social ◽  
Network Connectedness ◽  
Total Network ◽  
Country Specific

Based on social network theories, outgroup contact does not only improve intergroup relations, but can also facilitate the academic development of students due to the social capital and the uniquely supportive information and resources it provides. In the present study, 12,376 students (14.42 years; 50% girls; 38% immigrant students) from 591 classes across three countries (Germany, the Netherlands, and Sweden) provided information on social network data, academic achievement, socioeconomic status (SES), and cognitive ability. Social network analysis determined the intergroup network connectedness of students. As expected, country-specific multilevel models reveal a positive linear relationship between outgroup contact and academic achievement for immigrant students in all models, and a negative curvilinear (i.e., concave) relationship between outgroup contact and academic achievement for nonimmigrant students in 2 out of 3 models, while controlling for SES, cognitive abilities, and total network integration. These findings suggest the academic value of outgroup contact for immigrant students and signal its potential for nonimmigrant students.

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