TY - JOUR
T1 - Knowledgeable Lemurs Become More Central in Social Networks
AU - Kulahci, Ipek G.
AU - Ghazanfar, Asif A.
AU - Rubenstein, Daniel Ian
N1 - Funding Information:
We thank St. Catherine’s Island for access to lemurs. We are grateful to R. Seyfarth and two reviewers for comments on the manuscript. This study was funded by grants to I.G.K. from Animal Behavior Society , American Society of Mammalogists , American Society of Primatologists , and Department of Ecology and Evolutionary Biology at Princeton University . I.G.K. was supported by ERC Consolidator Grant 617509 (to J.L. Quinn) while preparing the manuscript.
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/4/23
Y1 - 2018/4/23
N2 - Strong relationships exist between social connections and information transmission [1–9], where individuals’ network position plays a key role in whether or not they acquire novel information [2, 3, 5, 6]. The relationships between social connections and information acquisition may be bidirectional if learning novel information, in addition to being influenced by it, influences network position. Individuals who acquire information quickly and use it frequently may receive more affiliative behaviors [10, 11] and may thus have a central network position. However, the potential influence of learning on network centrality has not been theoretically or empirically addressed. To bridge this epistemic gap, we investigated whether ring-tailed lemurs’ (Lemur catta) centrality in affiliation networks changed after they learned how to solve a novel foraging task. Lemurs who had frequently initiated interactions and approached conspecifics before the learning experiment were more likely to observe and learn the task solution. Comparing social networks before and after the learning experiment revealed that the frequently observed lemurs received more affiliative behaviors than they did before—they became more central after the experiment. This change persisted even after the task was removed and was not caused by the observed lemurs initiating more affiliative behaviors. Consequently, quantifying received and initiated interactions separately provides unique insights into the relationships between learning and centrality. While the factors that influence network position are not fully understood, our results suggest that individual differences in learning and becoming successful can play a major role in social centrality, especially when learning from others is advantageous. Social network position influences if and when animals learn from conspecifics. Kulahci et al. show that learning influences network position and that bidirectional relationships exist between the two. Lemurs who learn how to solve a novel task, and solve it while being observed by others, receive more affiliation and become central after learning.
AB - Strong relationships exist between social connections and information transmission [1–9], where individuals’ network position plays a key role in whether or not they acquire novel information [2, 3, 5, 6]. The relationships between social connections and information acquisition may be bidirectional if learning novel information, in addition to being influenced by it, influences network position. Individuals who acquire information quickly and use it frequently may receive more affiliative behaviors [10, 11] and may thus have a central network position. However, the potential influence of learning on network centrality has not been theoretically or empirically addressed. To bridge this epistemic gap, we investigated whether ring-tailed lemurs’ (Lemur catta) centrality in affiliation networks changed after they learned how to solve a novel foraging task. Lemurs who had frequently initiated interactions and approached conspecifics before the learning experiment were more likely to observe and learn the task solution. Comparing social networks before and after the learning experiment revealed that the frequently observed lemurs received more affiliative behaviors than they did before—they became more central after the experiment. This change persisted even after the task was removed and was not caused by the observed lemurs initiating more affiliative behaviors. Consequently, quantifying received and initiated interactions separately provides unique insights into the relationships between learning and centrality. While the factors that influence network position are not fully understood, our results suggest that individual differences in learning and becoming successful can play a major role in social centrality, especially when learning from others is advantageous. Social network position influences if and when animals learn from conspecifics. Kulahci et al. show that learning influences network position and that bidirectional relationships exist between the two. Lemurs who learn how to solve a novel task, and solve it while being observed by others, receive more affiliation and become central after learning.
KW - Lemur catta
KW - information acquisition
KW - information transmission
KW - learning
KW - network metrics
KW - ring-tailed lemur
KW - social centrality
KW - social network analysis
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U2 - 10.1016/j.cub.2018.02.079
DO - 10.1016/j.cub.2018.02.079
M3 - Article
C2 - 29628372
AN - SCOPUS:85045556569
SN - 0960-9822
VL - 28
SP - 1306-1310.e2
JO - Current Biology
JF - Current Biology
IS - 8
ER -