How Do They Get There? An Examination of the Antecedents of Centrality in Team Networks.

Klein, Katherine J.; Lim, Bo-Mi; Saltz, Jessica L.; Mayer, David M.

doi:10.2307/20159634

Cited by 358 publications

(210 citation statements)

References 33 publications

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“…Central individuals substantially impact the health and well-being of their community (1)(2)(3)(4), for example, by reducing stress and generating opportunities for other community members (5). Who comes to occupy these central network positions?…”

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confidence: 99%

“…Individuals might ask for advice from one subset of their community, look for companionship with another subset, and seek emotional support from a third subset (12)(13)(14)(15). This means that an individual could occupy a central role in one type of network, but hold a more peripheral position in a different type of network (2). We study this by first mapping several networks within a community and then by assessing a person's position in a network with respect to a broad array of personality traits.…”

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confidence: 99%

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Empathy and well-being correlate with centrality in different social networks

Morelli

Ong

Makati

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

117

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Individuals benefit from occupying central roles in social networks, but little is known about the psychological traits that predict centrality. Across four college freshman dorms (n = 193), we characterized individuals with a battery of personality questionnaires and also asked them to nominate dorm members with whom they had different types of relationships. This revealed several social networks within dorm communities with differing characteristics. In particular, additional data showed that networks varied in the degree to which nominations depend on (i) trust and (ii) shared fun and excitement. Networks more dependent upon trust were further defined by fewer connections than those more dependent on fun. Crucially, network and personality features interacted to predict individuals' centrality: people high in well-being (i.e., life satisfaction and positive emotion) were central to networks characterized by fun, whereas people high in empathy were central to networks characterized by trust. Together, these findings provide network-based corroboration of psychological evidence that well-being is socially attractive, whereas empathy supports close relationships. More broadly, these data highlight how an individual's personality relates to the roles that they play in sustaining their community.social networks | empathy | well-being | centrality | personality I n a community, certain individuals take central roles and are sought out by others for advice, support, fun, and companionship. Central individuals substantially impact the health and well-being of their community (1-4), for example, by reducing stress and generating opportunities for other community members (5). Who comes to occupy these central network positions? Recent research suggests that individuals' personalities influence their ability to attract social ties (6-11),* but this personality-centrality relationship may vary depending on the type of connection that one uses to define a network. For example, extraverts become more central than introverts in networks defined by friendship (6).Past work generally focuses on the relationship between a single personality trait (e.g., extraversion) and centrality in a single network (e.g., friendship networks). However, communities contain multiple networks that are defined by different types of relationships. Individuals might ask for advice from one subset of their community, look for companionship with another subset, and seek emotional support from a third subset (12)(13)(14)(15). This means that an individual could occupy a central role in one type of network, but hold a more peripheral position in a different type of network (2). We study this by first mapping several networks within a community and then by assessing a person's position in a network with respect to a broad array of personality traits. This allows us to identify the features of an individual that predict their centrality in various types of networks.Previous psychological research suggests that an individual's personality might relate t...

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mentioning

confidence: 99%

mentioning

confidence: 99%

Empathy and well-being correlate with centrality in different social networks

Morelli

Ong

Makati

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

117

View full text Add to dashboard Cite

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“…It is experienced by the member as an openness to and comfort working with a specific colleague, which at high levels is experienced as enthusiasm to participate [35]. Lack of the involved perception is experienced as general trepidation and unease due to the potential risk of cooperation, such as embarrassment at needing help, an unappreciative recipient of advice, or their becoming a competitor for expert status [36]. Involved is postulated to be like constructs from organisational psychology such as contextual performance, mutual aid, task conflict, and internal communication [33].…”

Section: Involvedmentioning

confidence: 99%

Collaboration Vouchers: A Policy to Increase Population Wellbeing

et al. 2018

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Abstract:While economic liberalism has delivered national wealth, substantial portions of the population have been left behind. The precariously and unemployed experience reduced wellbeing that may be remedied by their greater involvement in egalitarian, purposive collaborative groups. Policy to achieve this objective may be assisted by an understanding of how positive psychology interacts with social psychology. The PILAR model of collaboration is postulated to translate between an individual's psychological capital (PsyCap) and their meeting of basic psychological needs (BPN). In a proposed cyclical model, a collaborating individual will meet BPN, thereby experience enhanced wellbeing, which bolsters PsyCap, and hence promotes further collaboration. Given collaboration is amenable to incentivisation, a policy of collaboration vouchers might cost-effectively promote individual wellbeing throughout society, whilst having complementary effects such as social cohesion.

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“…In this research, I focus on the importance of each engineer in the circulation of information; therefore, I decided to use the centrality index. A central network position allows an individual to access new and important knowledge [59] because individuals who have numerous positive social connections can access new information and knowledge [35].…”

Section: Hypothesis 1 Mobile Engineers Facilitate Interfirm Knowledgementioning

confidence: 99%

Who Works at the Interface in Knowledge Spillover Across Organizational Boundaries?

Fujiwara

2017

Rev Socionetwork Strat

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To investigate the characteristics of engineers who act as an interface in transferring knowledge across national boundaries, I conducted an empirical analysis regarding the mobility of engineers in electrical manufacturing firms from Japan to South Korea. Statistical findings from negative binomial regressions show that the experience of working with foreign engineers facilitates knowledge spillover. In addition, the results show that interfirm knowledge transfer is more likely to occur when the engineers of the hiring firm work together with mobile engineers who (1) were focal members at their previous firm, (2) had a good connection with focal members, and (3) are young. This study suggests that engineers from external organizations are effective in knowledge transfer, especially if they are young, mobile engineers who were focal members at their previous firm and had a good connection with a focal member-and can act as an interface in transferring tacit knowledge.

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How Do They Get There? An Examination of the Antecedents of Centrality in Team Networks.

Cited by 358 publications

References 33 publications

Empathy and well-being correlate with centrality in different social networks

Empathy and well-being correlate with centrality in different social networks

Collaboration Vouchers: A Policy to Increase Population Wellbeing

Who Works at the Interface in Knowledge Spillover Across Organizational Boundaries?

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