Collecting peer data and delineating peer networks in a complete network

Kirke, Deirdre M.

doi:10.1016/0378-8733(95)00280-4

Cited by 22 publications

(13 citation statements)

References 9 publications

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“…Furthermore, informants may have different thresholds for a given term (Feld & Carter 2002;Kashy & Kenny 1990). Against this pattern, Kirke (1996) found a high level of partner concordance over the terms "friend" and "pal" in her sample of adolescents in Ireland.…”

Section: Behavioral Specificitymentioning

confidence: 85%

“…Studies comparing free recall to recognition of names from a list find that recall can be as low as 10% (Hammer 1984) and as high as 90% (Brewer & Webster 1999;Sudman 1988). Using partner concordance as a way to identify successful recall, studies have found varying levels of agreement between informant and alter (52-85%) for high school buddies (Alexander & Campbell 1964;Kirke 1996), adult best friends (Laumann 1969), and intimates (Hammer 1984;Shulman 1976). Research on partner concordance involving behaviorally based network alters have found agreement rates of 93% for sex partners, 82-83% for non-injection drug use partners, and 76-90% for drug injection partners (Adams & Moody 2005;Bell et al 2000).…”

Section: Alter Recallmentioning

confidence: 99%

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Partner naming and forgetting: Recall of network members

Bell

Belli-Mcqueen

Haider³

2007

Social Networks

114

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Section: Behavioral Specificitymentioning

confidence: 85%

Section: Alter Recallmentioning

confidence: 99%

Partner naming and forgetting: Recall of network members

Bell

Belli-Mcqueen

Haider³

2007

Social Networks

114

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“…Friend names in the survey were obtained by following the approach proposed by Kirke. 30 During the interview, however, the names of friends were probed for by asking whether there were people in specific spheres of life (e.g., at school, in the neighborhood, hobby-related, etc.) they considered as friends.…”

mentioning

confidence: 99%

Youth, Friendship, and Gaming: A Network Perspective

Grove

2014

Cyberpsychology, Behavior, and Social Networking

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With digital games being part of the leisure of a multitude of young people, it is important to understand to what extent gaming-related practices such as talking about games or playing games together are associated with the quality of friendship relations with players and nonplayers. Based on 100 friendship networks, this study explored to what extent those practices permeated the everyday life of youngsters and whether they could be considered as a part of doing friendship. Results indicated that gaming as a conversational topic was widespread within and between networks. Furthermore, regardless of gender, this was significantly associated with friendship quality in almost all of the networks. When considering playing games together, a somewhat different picture emerged. In contrast to conversational practices, playing together was less widespread. Moreover, both the occurrence and the effect of co-play and friendship quality was gendered. The findings of this study show that a focus on gaming-related practices yields a fruitful starting point when considering the role of digital games in a social context that is not limited to people playing (online) games. Furthermore, they also feed into the ongoing debate of possible effects of digital games in that it shows that the way in which games influence the lives of young people goes beyond a direct effects approach.

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“…According to Kirke (1996), when an ego-centered network is considered dense, the entire network can be built through egocentric data. Marsden (2005) argues that the data analysis of a complete network has ego-networks ass.ccsenet.org Asian Social Science Vol.…”

Section: Relationship Structure In Interorganizational Networkmentioning

confidence: 99%

The Relationship Structure of a Transnational, Ego-centered, and Innovation-Oriented Network

Weymer¹,

Kato²,

Veiga³

et al. 2017

ASS

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This study identifies the relationship structure of an ego-centered network by examining a transnational organization in the telecommunications sector that is oriented toward innovation. The study considers the dimensions of density, centrality, structural equivalence, and relationship content. Following the literature, we correlate the underlying concepts of network innovation substantiated through the technique of network analysis as a research method. The results suggest that the position of organizations in relation to the distance and pathways to other organizations in the network can influence the network's capacity for innovation, conditioned by the strategic positioning of the focal company. This does not seem to be the case with the company considered by this study, as the strategic positioning of the matrix considers only innovative products with a worldwide scope, and not those with a more limited, local, or regional interest. The main contribution of this study is the identification of the relationship structure of a transnational, ego-centered, and innovation-oriented network with the aid of a statistical tool.

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Collecting peer data and delineating peer networks in a complete network

Cited by 22 publications

References 9 publications

Partner naming and forgetting: Recall of network members

Partner naming and forgetting: Recall of network members

Youth, Friendship, and Gaming: A Network Perspective

The Relationship Structure of a Transnational, Ego-centered, and Innovation-Oriented Network

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