scholarly journals Revisiting Extraversion and Leadership Emergence: A Social Network Churn Perspective

2022 ◽  
Author(s):  
Blaine Landis ◽  
Jon Jachimowicz ◽  
Dan J. Wang ◽  
Robert Krause
Keyword(s):  
Social Network ◽  
Network Size ◽  
Emergent Leadership ◽  
Leadership Emergence ◽  
Personality Psychology ◽  
Self Monitoring ◽  
The People ◽  
Over Time

One of the classic relationships in personality psychology is that extraversion is associated with emerging as an informal leader. However, recent findings raise questions about the longevity of extraverted individuals as emergent leaders. Here, we adopt a social network churn perspective to study the number of people entering, remaining in, and leaving the leadership networks of individuals over time. We propose that extraverted individuals endure as emergent leaders in networks over time, but experience significant changes in the people being led, including the loss of people who once considered them a leader but now no longer do. In Study 1 (N = 545), extraverted individuals had a larger number of new and remaining people in their leadership networks, but also lost more people, above and beyond differences in initial leadership network size. In Study 2 (N = 764), we replicated and extended these results in an organizational sample while controlling for alternative explanations such as formal rank, network size, self-monitoring, and narcissism. Extraversion predicted the number of people entering, remaining in, and leaving leadership networks over time. Our findings suggest that while extraverted individuals tend to emerge as leaders, they are also more likely to experience greater network churn—they tend to lead different people over time and leave people in their wake who once perceived them a leader but now no longer do. We discuss the challenges posed by this network churn perspective for extraverted emergent leaders and highlight its importance for our understanding of extraversion and emergent leadership.

Who Belongs to Me? Social Relationship and Personality Characteristics in the Transition to Young Adulthood

2014 ◽  
Vol 28 (6) ◽  
pp. 586-603 ◽  
Author(s):  
Jenny Wagner ◽  
Oliver Lüdtke ◽  
Brent W. Roberts ◽  
Ulrich Trautwein
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Young Adulthood ◽  
Social Relationship ◽  
Multilevel Models ◽  
Network Size ◽  
Big Five Personality ◽  
Personality Psychology ◽  
Emotional Closeness ◽  
Network Characteristics

Not much is known about how social network characteristics change in the transition out of school and what role Big Five personality plays in this context. The aim of this paper was twofold. First, we explored changes in social network and relationship characteristics across the transition out of secondary school. Second, we examined within–person and between–person effects of personality on these social network changes. Results based on a series of multilevel models to a longitudinal sample of 2287 young adults revealed four main findings. First, social networks increased in size, and this increase was mainly due to a larger number of nonkin. Stable social networks during the transition consisted mainly of family ties but were generally characterized by high closeness. Second, extraversion and openness consistently predicted network size, whereas agreeableness predicted network overlap. Third, increases in emotional closeness were found only for kin; closeness was generally lower for unstable relationships. Fourth, changes in emotional closeness were related to personality, particularly neuroticism, agreeableness, and conscientiousness for stable relationships; for unstable relationships, however, closeness was related to extraversion and openness. The article concludes by discussing the role of personality for social relationship development and the active moulding of social networks in young adulthood. Copyright © 2014 European Association of Personality Psychology

ARE LEADERS SMARTER OR DO THEY JUST SEEM THAT WAY? EXPLORING PERCEIVED INTELLECTUAL COMPETENCE AND LEADERSHIP EMERGENCE

2002 ◽  
Vol 30 (2) ◽  
pp. 105-118 ◽  
Author(s):  
Robert S. Rubin ◽  
Lynn K. Bartels ◽  
William H. Bommer
Keyword(s):  
Organizational Behavior ◽  
Small Groups ◽  
Business Students ◽  
Emergent Leadership ◽  
Leadership Emergence ◽  
Self Monitoring ◽  
Academic Assessment ◽  
Proposed Model ◽  
Leadership Process ◽  
Undergraduate Business Students

Both intelligence (Bass, 1990) and self-monitoring (Cronshaw & Ellis, 1991) have been shown to be strong individual predictors of leadership emergence in small groups. The present study proposed a potential mediator in the leadership emergence process. Specifically, it was hypothesized that perceived intellectual competence would mediate the emergent leadership process. Undergraduate business students (N = 347) from a large mid-western university participated in an academic assessment center in conjunction with an organizational behavior course. Findings indicated that the proposed model fits the data quite well and mediator analysis demonstrated that the perception of intellectual competence might be an important mechanism for leadership attainment in small groups.

Extraverts Have Larger Social Network Layers

2011 ◽  
Vol 32 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Thomas V. Pollet ◽  
Sam G. B. Roberts ◽  
Robin I. M. Dunbar
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Outer Layer ◽  
Network Size ◽  
Emotional Intensity ◽  
Emotional Closeness ◽  
Network Layer ◽  
Network Layers ◽  
Social Network Size

Previous studies showed that extraversion influences social network size. However, it is unclear how extraversion affects the size of different layers of the network, and how extraversion relates to the emotional intensity of social relationships. We examined the relationships between extraversion, network size, and emotional closeness for 117 individuals. The results demonstrated that extraverts had larger networks at every layer (support clique, sympathy group, outer layer). The results were robust and were not attributable to potential confounds such as sex, though they were modest in size (raw correlations between extraversion and size of network layer, .20 < r < .23). However, extraverts were not emotionally closer to individuals in their network, even after controlling for network size. These results highlight the importance of considering not just social network size in relation to personality, but also the quality of relationships with network members.

An Iranian academic social network is coming (Preprint)

2019 ◽  
Author(s):  
Mohammad Dehghani ◽  
Akhondzadeh Shahin ◽  
Mesgarpour Bita ◽  
Ferdousi Reza
Keyword(s):  
Social Network ◽  
Developing Country ◽  
The People ◽  
Academic Social Network ◽  
The Impact

UNSTRUCTURED Iran has faced severe sanctions in recent years from some countries. Due to the dependence of the Iranian health industry on government payments, the health of the people in this country has suffered a lot. One of the solutions for Iran's sanctions to reduce the impact of sanctions on health is to rely on domestic researchers, but researchers in Iran are having problems. One way to reduce researchers' problems is to use the National Academic Social Network. This article describes the steps of setting up an academic social network in a developing country in four stages.

Developing a sustainable Digital Health Innovation Ecosystem in a rural and resource-poor region: A monitored networking approach (Preprint)

2020 ◽  
Author(s):  
Arunangsu Chatterjee ◽  
Sebastian Stevens ◽  
Sheena Asthana ◽  
Ray B Jones
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Data Collection ◽  
Digital Health ◽  
Resource Poor Setting ◽  
Quadruple Helix ◽  
Innovation Ecosystem ◽  
Resource Poor ◽  
Quadruple Helix Model ◽  
Over Time

BACKGROUND Digital health (DH) innovation ecosystems (IE) are key to the development of new e-health products and services. Within an IE, third parties can help promote innovation by acting as knowledge brokers and the conduits for developing inter-organisational and interpersonal relations, particularly for smaller organisations. Kolehmainen’s quadruple helix model suggests who the critical IE actors are, and their roles. Within an affluent and largely urban setting, such ecosystems evolve and thrive organically with minimal intervention due to favourable economic and geographical conditions. Facilitating and sustaining a thriving DH IE within a resource-poor setting can be far more challenging even though far more important for such peripheral economics and the health and well-being of those communities. OBJECTIVE Taking a rural and remote region in the UK, as an instance of an IE in a peripheral economy, we adapt the quadruple helix model of innovation, apply a monitored social networking approach using McKinsey’s Three Horizons of growth to explore: • What patterns of connectivity between stakeholders develop within an emerging digital health IE? • How do networks develop over time in the DH IE? • In what ways could such networks be nurtured in order to build the capacity, capability and sustainability of the DH IE? METHODS Using an exploratory single case study design for a developing digital health IE, this study adopts a longitudinal social network analysis approach, enabling the authors to observe the development of the innovation ecosystem over time and evaluate the impact of targeted networking interventions on connectivity between stakeholders. Data collection was by an online survey and by a novel method, connection cards. RESULTS Self-reported connections between IE organisations increased between the two waves of data collection, with Small and Medium-sized Enterprises (SMEs) and academic institutions the most connected stakeholder groups. Patients involvement improved over time but still remains rather peripheral to the DH IE network. Connection cards as a monitoring tool worked really well during large events but required significant administrative overheads. Monitored networking information categorised using McKinsey’s Three Horizons proved to be an effective way to organise networking interventions ensuring sustained engagement. CONCLUSIONS The study reinforces the difficulty of developing and sustaining a DH IE in a resource-poor setting. It demonstrates the effective monitored networking approach supported by Social Network Analysis allows to map the networks and provide valuable information to plan future networking interventions (e.g. involving patients or service users). McKinsey’s Three Horizons of growth-based categorisation of the networking assets help ensure continued engagement in the DH IE contributing towards its long-term sustainability. Collecting ongoing data using survey or connection card method will become more labour intensive and ubiquitous ethically driven data collection methods can be used in future to make the process more agile and responsive.

Immigration Dynamics and Changing Constructions of Jewish Nativeness in Israel

2019 ◽  
Author(s):  
Adane Zawdu ◽  
Sarah S. Willen
Keyword(s):  
Building Block ◽  
Social Boundaries ◽  
Institutional Practices ◽  
Political Dynamics ◽  
Fundamental Building Block ◽  
The People ◽  
Ancient Israel ◽  
State Of Israel ◽  
Historical Periods ◽  
Over Time

A fundamental building block of the Zionist vision is the claim of a primordial link between modern-day Jews and the people and territory of ancient Israel. This claim, which has proven remarkably durable despite its changing form and its tension with understandings of Palestinian indigeneity, continues to inform conceptions of nativeness in the modern-day state of Israel. This chapter explores how constructions of Jewish nativeness in Israel have changed in relation to successive immigration processes. Taking sociocultural and political dynamics as its focus, the chapter examines the cultural and institutional practices through which the notion of Jewish nativeness, its boundaries, and its logics of inclusion and exclusion were constructed and enforced in four historical periods. In each period, an increase in ethnic and religious heterogeneity challenged established notions of Jewish nativeness and membership in new ways. Although conceptions of Jewish nativeness have changed over time, they continue to shape social boundaries by signaling, and qualifying, membership in the Israeli collective.

scholarly journals Relationships between medical students’ co-regulatory network characteristics and self-regulated learning: a social network study

2021 ◽  
Author(s):  
Derk Bransen ◽  
Marjan J. B. Govaerts ◽  
Dominique M. A. Sluijsmans ◽  
Jeroen Donkers ◽  
Piet G. C. Van den Bossche ◽  
...  
Keyword(s):  
Social Network ◽  
Medical Students ◽  
Regulatory Network ◽  
Regulatory Networks ◽  
Learning Opportunities ◽  
Network Size ◽  
Tie Strength ◽  
Network Characteristics ◽  
Self Regulated Learning ◽  
Regulated Learning

Abstract Introduction Recent conceptualizations of self-regulated learning acknowledge the importance of co-regulation, i.e., students’ interactions with others in their networks to support self-regulation. Using a social network approach, the aim of this study is to explore relationships between characteristics of medical students’ co-regulatory networks, perceived learning opportunities, and self-regulated learning. Methods The authors surveyed 403 undergraduate medical students during their clinical clerkships (response rate 65.5%). Using multiple regression analysis, structural equation modelling techniques, and analysis of variance, the authors explored relationships between co-regulatory network characteristics (network size, network diversity, and interaction frequency), students’ perceptions of learning opportunities in the workplace setting, and self-reported self-regulated learning. Results Across all clerkships, data showed positive relationships between tie strength and self-regulated learning (β = 0.095, p < 0.05) and between network size and tie strength (β = 0.530, p < 0.001), and a negative relationship between network diversity and tie strength (β = −0.474, p < 0.001). Students’ perceptions of learning opportunities showed positive relationships with both self-regulated learning (β = 0.295, p < 0.001) and co-regulatory network size (β = 0.134, p < 0.01). Characteristics of clerkship contexts influenced both co-regulatory network characteristics (size and tie strength) and relationships between network characteristics, self-regulated learning, and students’ perceptions of learning opportunities. Discussion The present study reinforces the importance of co-regulatory networks for medical students’ self-regulated learning during clinical clerkships. Findings imply that supporting development of strong networks aimed at frequent co-regulatory interactions may enhance medical students’ self-regulated learning in challenging clinical learning environments. Social network approaches offer promising ways of further understanding and conceptualising self- and co-regulated learning in clinical workplaces.

scholarly journals Social Networks and Loneliness During the COVID-19 Pandemic

2021 ◽  
Vol 7 ◽  
pp. 237802312098525
Author(s):  
Balazs Kovacs ◽  
Nicholas Caplan ◽  
Samuel Grob ◽  
Marissa King
Keyword(s):  
Social Network ◽  
Social Isolation ◽  
Close Relationships ◽  
Network Size ◽  
Global Network ◽  
Network Data ◽  
Network Characteristics ◽  
Face To Face ◽  
Social Network Data ◽  
Social Network Size

We utilize longitudinal social network data collected pre–COVID-19 in June 2019 and compare them with data collected in the midst of COVID in June 2020. We find significant decreases in network density and global network size following a period of profound social isolation. While there is an overall increase in loneliness during this era, certain social network characteristics of individuals are associated with smaller increases in loneliness. Specifically, we find that people with fewer than five “very close” relationships report increases in loneliness. We further find that face-to-face interactions, as well as the duration and frequency of interactions with very close ties, are associated with smaller increases in loneliness during the pandemic. We also report on factors that do not moderate the effect of social isolation on perceived loneliness, such as gender, age, or overall social network size.

Sign in / Sign up

Export Citation Format

Share Document