Strength of Social Tie Predicts Cooperative Investment in a Human Social Network

被引:48
作者
Harrison, Freya [1 ,2 ]
Sciberras, James [1 ]
James, Richard [3 ]
机构
[1] Univ Oxford, Dept Zool, Oxford OX1 3PS, England
[2] Univ Bath, Dept Biol & Biochem, Bath BA2 7AY, Avon, England
[3] Univ Bath, Dept Phys, Bath BA2 7AY, Avon, England
关键词
INTERACTION PATTERNS; INDIRECT RECIPROCITY; EVOLUTION; EMERGENCE; KINSHIP; FRIENDSHIP; ALTRUISM; BEHAVIOR; ECOLOGY; NICHES;
D O I
10.1371/journal.pone.0018338
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Social networks - diagrams which reflect the social structure of animal groups - are increasingly viewed as useful tools in behavioural ecology and evolutionary biology. Network structure may be especially relevant to the study of cooperation, because the action of mechanisms which affect the cost: benefit ratio of cooperating (e. g. reciprocity, punishment, image scoring) is likely to be mediated by the relative position of actor and recipient in the network. Social proximity could thus affect cooperation in a similar manner to biological relatedness. To test this hypothesis, we recruited members of a real-world social group and used a questionnaire to reveal their network. Participants were asked to endure physical discomfort in order to earn money for themselves and other group members, allowing us to explore relationships between willingness to suffer a cost on another's behalf and the relative social position of donor and recipient. Cost endured was positively correlated with the strength of the social tie between donor and recipient. Further, donors suffered greater costs when a relationship was reciprocated. Interestingly, participants regularly suffered greater discomfort for very close peers than for themselves. Our results provide new insight into the effect of social structure on the direct benefits of cooperation.
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页数:7
相关论文
共 74 条
[1]  
[Anonymous], 2002, Netdraw Network Visualization
[2]   THE EVOLUTION OF COOPERATION [J].
AXELROD, R ;
HAMILTON, WD .
SCIENCE, 1981, 211 (4489) :1390-1396
[3]  
Borgatti S. P., 2002, Ucinet for Windows: Software for social network analysis (Version 6), DOI [DOI 10.1111/J.1439-0310.2009.01613.X, 10.1111/j.1439-0310.2009.01613.x]
[4]   Altruism and social integration [J].
Branas-Garza, Pablo ;
Cobo-Reyes, Ramon ;
Paz Espinosa, Maria ;
Jimenez, Natalia ;
Kovarik, Jaromir ;
Ponti, Giovanni .
GAMES AND ECONOMIC BEHAVIOR, 2010, 69 (02) :249-257
[5]   Local environmental control and institutional crowding-out [J].
Cardenas, JC ;
Stranlund, J ;
Willis, C .
WORLD DEVELOPMENT, 2000, 28 (10) :1719-1733
[6]   The Spread of Behavior in an Online Social Network Experiment [J].
Centola, Damon .
SCIENCE, 2010, 329 (5996) :1194-1197
[7]  
Cohen P., 2013, Applied MultipleRegression/Correlation Analysis for the Behavioral Sciences, DOI [DOI 10.4324/9780203774441, 10.4324/9780203774441]
[8]   Behavioural trait assortment in a social network: patterns and implications [J].
Croft, Darren P. ;
Krause, Jens ;
Darden, Safi K. ;
Ramnarine, Indar W. ;
Faria, Jolyon J. ;
James, Richard .
BEHAVIORAL ECOLOGY AND SOCIOBIOLOGY, 2009, 63 (10) :1495-1503
[9]   Social structure and co-operative interactions in a wild population of guppies (Poecilia reticulata) [J].
Croft, DP ;
James, R ;
Thomas, POR ;
Hathaway, C ;
Mawdsley, D ;
Laland, KN ;
Krause, J .
BEHAVIORAL ECOLOGY AND SOCIOBIOLOGY, 2006, 59 (05) :644-650
[10]  
Croft DP, 2008, EXPLORING ANIMAL SOCIAL NETWORKS, P1