scholarly journals Familiarity affects social network structure and discovery of prey patch locations in foraging stickleback shoals

2014 ◽  
Vol 281 (1789) ◽  
pp. 20140579 ◽  
Author(s):  
N. Atton ◽  
B. J. Galef ◽  
W. Hoppitt ◽  
M. M. Webster ◽  
K. N. Laland
Keyword(s):  
Social Network ◽  
Social Interactions ◽  
Gasterosteus Aculeatus ◽  
Fine Scale ◽  
Factors Affecting ◽  
Prey Patch ◽  
Social Network Structure ◽  
Diffusion Analysis ◽  
Empty Control ◽  
Control Patch

Numerous factors affect the fine-scale social structure of animal groups, but it is unclear how important such factors are in determining how individuals encounter resources. Familiarity affects shoal choice and structure in many social fishes. Here, we show that familiarity between shoal members of sticklebacks ( Gasterosteus aculeatus ) affects both fine-scale social organization and the discovery of resources. Social network analysis revealed that sticklebacks remained closer to familiar than to unfamiliar individuals within the same shoal. Network-based diffusion analysis revealed that there was a strong untransmitted social effect on patch discovery, with individuals tending to discover a task sooner if a familiar individual from their group had previously done so than if an unfamiliar fish had done so. However, in contrast to the effect of familiarity, the frequency with which individuals had previously associated with one another had no effect upon the likelihood of prey patch discovery. This may have been due to the influence of fish on one another's movements; the effect of familiarity on discovery of an empty ‘control’ patch was as strong as for discovery of an actual prey patch. Our results demonstrate that factors affecting fine-scale social interactions can also influence how individuals encounter and exploit resources.

scholarly journals Rank-dependent social inheritance determines social network structure in a wild mammal population

2020 ◽  
Author(s):  
Amiyaal Ilany ◽  
Kay E. Holekamp ◽  
Erol Akçay
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Interactions ◽  
Social Rank ◽  
Wild Mammal ◽  
Social Network Structure ◽  
Spotted Hyenas ◽  
Using Data ◽  
Degree Of Similarity ◽  
Animal Social Networks

AbstractThe structure of animal social networks influences survival and reproductive success, as well as pathogen and information transmission. However, the general mechanisms determining social structure remain unclear. Using data on 73,767 social interactions among wild spotted hyenas over 27 years, we show that a process of social inheritance determines how offspring relationships are formed and maintained. The relationships of offspring with other hyenas are similar to those of their mothers over up to six years, and the degree of similarity increases with maternal social rank. The strength of mother-offspring relationship affects social inheritance and is positively correlated with offspring longevity. These results confirm the hypothesis that social inheritance of relationships can structure animal social networks and be subject to adaptive tradeoffs.

Rank-dependent social inheritance determines social network structure in spotted hyenas

Science ◽  
2021 ◽  
Vol 373 (6552) ◽  
pp. 348-352
Author(s):  
Amiyaal Ilany ◽  
Kay E. Holekamp ◽  
Erol Akçay
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Interactions ◽  
Social Rank ◽  
Relationship Strength ◽  
Social Network Structure ◽  
Spotted Hyenas ◽  
Using Data ◽  
Degree Of Similarity ◽  
Animal Social Networks

The structure of animal social networks influences survival and reproductive success, as well as pathogen and information transmission. However, the general mechanisms determining social structure remain unclear. Using data from 73,767 social interactions among wild spotted hyenas collected over 27 years, we show that the process of social inheritance determines how offspring relationships are formed and maintained. Relationships between offspring and other hyenas bear resemblance to those of their mothers for as long as 6 years, and the degree of similarity increases with maternal social rank. Mother-offspring relationship strength affects social inheritance and is positively correlated with offspring longevity. These results support the hypothesis that social inheritance of relationships can structure animal social networks and be subject to adaptive tradeoffs.

Evolutionary dynamics modeling of symbolic social network structure equilibrium

2020 ◽  
Vol 17 (10) ◽  
pp. 229-240
Author(s):  
Weijin Jiang ◽  
Sijian Lv ◽  
Yirong Jiang ◽  
Jiahui Chen ◽  
Fang Ye ◽  
...  
Keyword(s):  
Social Network ◽  
Network Structure ◽  
Evolutionary Dynamics ◽  
Dynamics Modeling ◽  
Social Network Structure

Moving on the Chain: Push-Pull Factors Affecting the Migration of Laotian Workers to Udon Thani, Thailand

2018 ◽  
Vol 5 (2) ◽  
pp. 99-105
Author(s):  
Thanapauge Chamaratana ◽  
Thawatchai Sangseema
Keyword(s):  
Social Network ◽  
Additional Data ◽  
Analysis Method ◽  
Pull Factors ◽  
Factors Affecting ◽  
Content Analysis Method ◽  
Depth Interview ◽  
Additional Data Collection ◽  
Study Unit ◽  
Participatory Observation

Abstract The tendency of migration of Lao workers to Thailand is likely to increase especially migration pattern is social network. The objective of this research was to study factors effecting the migration through social network of Lao workers in Udon Thani. Qualitative research method was applied in the study. Unit of analysis was group level. In-depth interview guideline was applied to collect data from 15 Laotian workers. The research site was Udon Thani, Thailand. Participatory observation and non-participatory observation were use for additional data collection. The ATLAS.ti programme was applied to categorize data, and data analysis was based on the content analysis method. The research results showed that the crucial push factors which contributed migration among Laotian workers included Udon Thani Unemployment in residency, and low revenue in residency and important pull factors include higher compensation, worker demand of establishments in Udon Thani province, Laotian employers' values in Udon Thani, and social network of Laotian workers in destination.

Online Communities and Social Network Structure

2019 ◽  
Author(s):  
Yanhao Wei ◽  
Wensi Zhang ◽  
Sha Yang ◽  
Xi Chen
Keyword(s):  
Social Network ◽  
Network Structure ◽  
Online Communities ◽  
Social Network Structure

35 Social Contact Mode and 15-Year Episodic Memory Trajectories in Older Adults with and Without Hearing Loss: the Elsa Study

2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i7-i11
Author(s):  
S Rafnsson ◽  
A Maharani ◽  
G Tampubolon
Keyword(s):  
Older Adults ◽  
Hearing Loss ◽  
Social Network ◽  
Episodic Memory ◽  
Social Interactions ◽  
Social Contact ◽  
Sensitivity Analyses ◽  
Impaired Hearing ◽  
Contact Mode

Abstract Introduction Frequent social contact benefits cognition in later life although evidence is lacking on the potential importance of the modes chosen by older adults for interacting with others in their social network. Method 11,513 participants in the English Longitudinal Study of Ageing (ELSA) provided baseline information on hearing status and social contact mode and frequency of use. Multilevel growth curve models compared episodic memory (immediate and delayed recall) at baseline and long-term in participants who interacted frequently (offline only or offline and online combined), compared to infrequently, with others in their social network. Results Frequent offline (β = 0.29; p < 0.05) and combined offline and online (β = 0.76; p < 0.001) social interactions predicted better episodic memory after adjustment for multiple confounding factors. We observed positive long-term influences of combined offline and online interactions on memory in participants without hearing loss (β = 0.48, p = 0.001) but not of strictly offline interactions (β = 0.00, p = 0.970). In those with impaired hearing, long-term memory was positively influenced by both modes of engagement (offline only: β = 0.93, p < 0.001; combined online and offline: β = 1.47, p < 0.001). Sensitivity analyses confirmed the robustness of these findings. Conclusion Supplementing conventional social interactions with online communication modes may help older adults, especially those living with hearing loss, sustain, and benefit cognitively from, personal relationships.

scholarly journals The switching mechanisms of social network densification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Teruyoshi Kobayashi ◽  
Mathieu Génois
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Context ◽  
Social Interactions ◽  
Regime Switching ◽  
Face To Face ◽  
The Social ◽  
Switching Property ◽  
Distinctive Type ◽  
Insight Into

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.

scholarly journals Inequality is rising where social network segregation interacts with urban topology

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Gergő Tóth ◽  
Johannes Wachs ◽  
Riccardo Di Clemente ◽  
Ákos Jakobi ◽  
Bence Ságvári ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Structure ◽  
Urban Geography ◽  
Online Social Network ◽  
Stage Model ◽  
Significant Relationships ◽  
Social Segregation ◽  
Social Network Structure ◽  
Physical Barriers

AbstractSocial networks amplify inequalities by fundamental mechanisms of social tie formation such as homophily and triadic closure. These forces sharpen social segregation, which is reflected in fragmented social network structure. Geographical impediments such as distance and physical or administrative boundaries also reinforce social segregation. Yet, less is known about the joint relationships between social network structure, urban geography, and inequality. In this paper we analyze an online social network and find that the fragmentation of social networks is significantly higher in towns in which residential neighborhoods are divided by physical barriers such as rivers and railroads. Towns in which neighborhoods are relatively distant from the center of town and amenities are spatially concentrated are also more socially segregated. Using a two-stage model, we show that these urban geography features have significant relationships with income inequality via social network fragmentation. In other words, the geographic features of a place can compound economic inequalities via social networks.

scholarly journals How social network structure affects decision-making in Drosophila melanogaster

2016 ◽  
Vol 283 (1826) ◽  
pp. 20152954 ◽  
Author(s):  
Cristian Pasquaretta ◽  
Marine Battesti ◽  
Elizabeth Klenschi ◽  
Christophe A. H. Bousquet ◽  
Cedric Sueur ◽  
...  
Keyword(s):  
Decision Making ◽  
Drosophila Melanogaster ◽  
Social Network ◽  
Individual Decision ◽  
Social Network Structure ◽  
The Social ◽  
Survival And Reproduction ◽  
Crucial Information ◽  
Social Encounters ◽  
Selective Information

Animals use a number of different mechanisms to acquire crucial information. During social encounters, animals can pass information from one to another but, ideally, they would only use information that benefits survival and reproduction. Therefore, individuals need to be able to determine the value of the information they receive. One cue can come from the behaviour of other individuals that are already using the information. Using a previous extended dataset, we studied how individual decision-making is influenced by the behaviour of conspecifics in Drosophila melanogaster . We analysed how uninformed flies acquire and later use information about oviposition site choice they learn from informed flies. Our results suggest that uninformed flies adjust their future choices based on how coordinated the behaviours of the informed individuals they encounter are. Following social interaction, uninformed flies tended either to collectively follow the choice of the informed flies or to avoid it. Using social network analysis, we show that this selective information use seems to be based on the level of homogeneity of the social network. In particular, we found that the variance of individual centrality parameters among informed flies was lower in the case of a ‘follow’ outcome compared with the case of an ‘avoid’ outcome.

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