scholarly journals Understanding Temporal Social Dynamics in Zoo Animal Management: An Elephant Case Study

Animals ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 882
Author(s):  
Ellen Williams ◽  
Samantha Bremner-Harrison ◽  
Carol Hall ◽  
Anne Carter
Keyword(s):  
Social Networks ◽  
Social Relationships ◽  
Social Dynamics ◽  
Temporal Dynamics ◽  
Interaction Networks ◽  
Positive Interaction ◽  
Animal Management ◽  
Management Procedures ◽  
Zoo Animals

Zoo animal management procedures which lead to changes to social groups can cause disruption in social hierarchies and the temporary breakdown of social relationships. Animals have different roles in social networks. Understanding individual positions in social networks is important for effective management and ensuring positive welfare for all animals. Using elephants as a case study, the aim of this research was to investigate temporal social dynamics in zoo animals. Behavioural data were collected between January 2016 and February 2017 from 10 African and 22 Asian elephants housed at seven zoos and safari parks in the UK and Ireland. Social interactions were defined as positive physical, positive non-physical, negative physical or negative non-physical. Social network analysis explored social relationships including the fluidity of networks over time and dyadic reciprocity. Social interaction networks were found to be fluid but did not follow a seasonal pattern. Positive interaction networks tended to include the entire social group whereas negative interactions were restricted to specific individuals. Unbalanced ties were observed within dyads, suggesting potential inequalities in relationships. This could impact on individual experiences and welfare. This research highlights subtle temporal dynamics in zoo elephants with the potential for species-level differences. Similar temporal dynamics may also be present in other socially housed zoo species. This research thus provides evidence for the importance of understanding the social networks of zoo animals over longer periods of time. Understanding social networks enables pro-active and evidence-based management approaches. Further research should seek to identify the minimum sampling efforts for social networks in a range of species, to enable the implementation of regular monitoring of social networks and thus improve the welfare of social species under human care.

scholarly journals Temporal properties of higher-order interactions in social networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giulia Cencetti ◽  
Federico Battiston ◽  
Bruno Lepri ◽  
Márton Karsai
Keyword(s):  
Social Networks ◽  
Social Interactions ◽  
Social Dynamics ◽  
Temporal Dynamics ◽  
Higher Order ◽  
Order Structure ◽  
Face To Face ◽  
Work Settings ◽  
Temporal Properties ◽  
Social Settings

AbstractHuman social interactions in local settings can be experimentally detected by recording the physical proximity and orientation of people. Such interactions, approximating face-to-face communications, can be effectively represented as time varying social networks with links being unceasingly created and destroyed over time. Traditional analyses of temporal networks have addressed mostly pairwise interactions, where links describe dyadic connections among individuals. However, many network dynamics are hardly ascribable to pairwise settings but often comprise larger groups, which are better described by higher-order interactions. Here we investigate the higher-order organizations of temporal social networks by analyzing five publicly available datasets collected in different social settings. We find that higher-order interactions are ubiquitous and, similarly to their pairwise counterparts, characterized by heterogeneous dynamics, with bursty trains of rapidly recurring higher-order events separated by long periods of inactivity. We investigate the evolution and formation of groups by looking at the transition rates between different higher-order structures. We find that in more spontaneous social settings, group are characterized by slower formation and disaggregation, while in work settings these phenomena are more abrupt, possibly reflecting pre-organized social dynamics. Finally, we observe temporal reinforcement suggesting that the longer a group stays together the higher the probability that the same interaction pattern persist in the future. Our findings suggest the importance of considering the higher-order structure of social interactions when investigating human temporal dynamics.

scholarly journals The social dynamics in establishing complex community climate change initiatives: the case of a community fridge in Scotland

2021 ◽  
Author(s):  
E. Carmen ◽  
I. Fazey ◽  
G. Caniglia ◽  
J. Anthony ◽  
L. Penny
Keyword(s):  
Social Relationships ◽  
Social Relations ◽  
Social Dynamics ◽  
Community Change ◽  
Social Identities ◽  
Community Based ◽  
Change Initiatives ◽  
Transdisciplinary Approach ◽  
The Social

AbstractMultiple factors are involved in community change processes, yet understanding how factors interact to shape these complex social processed is limited. This has important implications for both research and sustainability practice. This study examines key social dynamics in establishing complex community change initiatives using an in-depth action-oriented transdisciplinary approach with a case study of the development of a community fridge. Four critical social dynamics were identified: reinforcing interpretations, reinforcing interconnections, re-alignment of identities, and quality social relations involving multiple normative facets converging and diverging in different ways as the process unfolded. Initially, this led to a degenerative dynamic that heightened tensions between actors; however, re-alignment with wider social identities and expressions of the underlying normative dimensions involved in the initiative, a regenerative dynamic was created. This strengthened the conditions to support shared understanding, learning and enhanced relationships to enable different actors to work together to shape aspects of the initiative. Overall, the study highlights that future community-based change initiatives need to be guided by explicit approaches that work with social relationships, but where these relationships are conceptualised as dynamic normative spaces of interaction and exploration. This can inform understanding on how to develop beneficial reinforcing regenerative dynamics, where advances in one aspect of social relationships within initiatives can begin to reinforce others and ways that increase collective capacity as a whole. Developing this regenerative potential through social relationships within initiatives is thus critical for engaging with complex challenges across communities.

scholarly journals Getting along to get ahead: The role of social context in tournament promotion and reward systems

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257389
Author(s):  
George C. Banks ◽  
Christopher E. Whelpley ◽  
Eean R. Crawford ◽  
Ernest H. O’Boyle ◽  
Sven Kepes
Keyword(s):  
Social Networks ◽  
Social Relationships ◽  
Social Dynamics ◽  
Rank Order ◽  
Tie Strength ◽  
Reward Systems ◽  
Independent Research ◽  
Future Directions ◽  
Tournament Theory

Tournament theory posits that some organizations are modeled after sports tournaments whereby individuals are incentivized to compete and win against other members of the organization. A persistent criticism of tournament theory is that rank-order success of employees is entirely dependent on non-interacting or at least non-cooperating entities. To address what part, if any, cooperation plays in competitive tournaments, this study examines the role of social networks in tournament-style promotion and reward systems. Specifically, we seek to identify the importance of social relationships, such as group dissimilarity, initial tie formation, and tie strength in predicting tournament success. Bringing two largely independent research streams together (one focused on cooperation and one framed around competition), we examine how individuals’ performance interacts with their social relationships—their social networks—to influence their chances of winning a tournament. Using the Survivor television series, we analyze the behaviors of 535 interacting contestants across 30 tournaments. In general, the findings help to illustrate how performance and social networks predict tournament advancement. Interestingly, we find that group dissimilarity based on gender, race, and age, largely does not play a role in advancement in the tournaments. Further, the strength of ties fails to mediate between variables such as group dissimilarity and initial tie formation. We conclude by discussing future directions for theoretical and practical exploration of tournament-style promotion systems. Recommendations include continuing to explore and test the role of social dynamics in compensation and promotion systems.

Mobility and Immobility in a Transnational Context: Changing Views of Migration among the Kazakh Diaspora in Mongolia

2006 ◽  
Vol 3 (1) ◽  
pp. 49-62 ◽  
Author(s):  
Cynthia Werner ◽  
Holly R. Barcus
Keyword(s):  
Social Networks ◽  
Transnational Migration ◽  
Access To Information ◽  
Kazakh Population ◽  
Methodological Approaches

Inquiry into the causes and outcomes of transnational migration spans numerous disciplines, scales and methodological approaches.  Fewer studies focus on immobility.  Utilizing the Kazakh population of Mongolia as a case study, this paper considers how non-migrants view the economic and cultural costs of migrating.  We posit that three factors, including local place attachments specific to Mongolia, access to information about life in Kazakhstan and the importance of maintaining social networks in Mongolia, contribute substantially to their decision to not migrate. Our findings suggest that the decision to not migrate can be very strategic for non-migrants in highly transnational contexts.  

Applications of random graphs

2017 ◽  
Author(s):  
A.C.C. Coolen ◽  
A. Annibale ◽  
E.S. Roberts
Keyword(s):  
Social Networks ◽  
Random Graphs ◽  
Interaction Network ◽  
Power Grids ◽  
Protein Protein Interaction ◽  
Topological Features ◽  
First Case ◽  
The Stability ◽  
Protein Protein Interaction Network

This chapter reviews graph generation techniques in the context of applications. The first case study is power grids, where proposed strategies to prevent blackouts have been tested on tailored random graphs. The second case study is in social networks. Applications of random graphs to social networks are extremely wide ranging – the particular aspect looked at here is modelling the spread of disease on a social network – and how a particular construction based on projecting from a bipartite graph successfully captures some of the clustering observed in real social networks. The third case study is on null models of food webs, discussing the specific constraints relevant to this application, and the topological features which may contribute to the stability of an ecosystem. The final case study is taken from molecular biology, discussing the importance of unbiased graph sampling when considering if motifs are over-represented in a protein–protein interaction network.

scholarly journals Extending Geodemographics Using Data Primitives: A Review and a Methodological Proposal

2021 ◽  
Vol 10 (6) ◽  
pp. 386
Author(s):  
Jennie Gray ◽  
Lisa Buckner ◽  
Alexis Comber
Keyword(s):  
Social Dynamics ◽  
Feature Space ◽  
Social Processes ◽  
Multiple Time ◽  
Current State ◽  
Cluster Label ◽  
Static Data ◽  
The Social ◽  
Using Data

This paper reviews geodemographic classifications and developments in contemporary classifications. It develops a critique of current approaches and identifiea a number of key limitations. These include the problems associated with the geodemographic cluster label (few cluster members are typical or have the same properties as the cluster centre) and the failure of the static label to describe anything about the underlying neighbourhood processes and dynamics. To address these limitations, this paper proposed a data primitives approach. Data primitives are the fundamental dimensions or measurements that capture the processes of interest. They can be used to describe the current state of an area in a multivariate feature space, and states can be compared over multiple time periods for which data are available, through for example a change vector approach. In this way, emergent social processes, which may be too weak to result in a change in a cluster label, but are nonetheless important signals, can be captured. As states are updated (for example, as new data become available), inferences about different social processes can be made, as well as classification updates if required. State changes can also be used to determine neighbourhood trajectories and to predict or infer future states. A list of data primitives was suggested from a review of the mechanisms driving a number of neighbourhood-level social processes, with the aim of improving the wider understanding of the interaction of complex neighbourhood processes and their effects. A small case study was provided to illustrate the approach. In this way, the methods outlined in this paper suggest a more nuanced approach to geodemographic research, away from a focus on classifications and static data, towards approaches that capture the social dynamics experienced by neighbourhoods.

scholarly journals Plot Structure Decomposition in Narrative Multimedia by Analyzing Personalities of Fictional Characters

2021 ◽  
Vol 11 (4) ◽  
pp. 1645
Author(s):  
O-Joun Lee ◽  
Eun-Soon You ◽  
Jin-Taek Kim
Keyword(s):  
Social Networks ◽  
Social Relationships ◽  
Fictional Characters ◽  
Story Line ◽  
Popular Narrative ◽  
Personality Changes ◽  
Structure Decomposition ◽  
Plot Structure

This study aims to decompose plot structures of stories in narrative multimedia (i.e., creative works that contain stories and are distributed through multimedia). Since a story is interwoven with main plots and subplots (i.e., primary and ancillary story lines), decomposing a story into multiple story lines enables us to analyze how events in the story are allocated and logically connected. For the decomposition, the existing studies employed character networks (i.e., social networks of characters that appeared in a story) and assumed that characters’ social relationships are consistent in a story line. However, these studies overlooked that social relationships significantly change around major events. To solve this problem, we attempt to use the changes for distinguishing story lines rather than suffer from the changes. We concentrate on the changes in characters’ social relationships being the result of changes in their personalities. Moreover, these changes gradually proceed within a story line. Therefore, we first propose features for measuring changes in personalities of characters: (i) Degrees of characters in character networks, (ii) lengths of dialogues spoken by characters, and (iii) ratios of out-degrees for in-degrees of characters in character networks. We supposed these features reflect importance, inner/outer conflicts, and activeness of characters, respectively. Since characters’ personalities gradually change in a story line, we can suppose that the features also show gradual story developments in a story line. Therefore, we conduct regression for each feature to discover dominant tendencies of the features. By filtering scenes that do not follow the tendencies, we extract a story line that exhibits the most dominant personality changes. We can decompose stories into multiple story lines by iterating the regression and filtering. Besides, personalities of characters change more significantly in major story lines. Based on this assumption, we also propose methods for discriminating main plots. Finally, we evaluated the accuracy of the proposed methods by applying them to the movies, which is one of the most popular narrative multimedia.

MapTap and Cornelia Slow Digital Art History and Formal Art Historical Social Network Research

2016 ◽  
Vol 79 (3) ◽  
pp. 315-330 ◽  
Author(s):  
Koenraad Brosens ◽  
Klara Alen ◽  
Astrid Slegten ◽  
Fred Truyen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Early Modern ◽  
Data Model ◽  
Art History ◽  
Digital Art ◽  
Unique Data ◽  
Network Research ◽  
Custom Made

Abstract The essay introduces MapTap, a research project that zooms in on the ever-changing social networks underpinning Flemish tapestry (1620 – 1720). MapTap develops the young and still slightly amorphous field of Formal Art Historical Social Network Research (FAHSNR) and is fueled by Cornelia, a custom-made database. Cornelia’s unique data model allows researchers to organize attribution and relational data from a wide array of sources in such a way that the complex multiplex and multimode networks emerging from the data can be transformed into partial unimode networks that enable proper FAHSNR. A case study revealing the key roles played by women in the tapestry landscape shows how this kind of slow digital art history can further our understanding of early modern creative communities and industries.

Temporal dynamics of encrusting communities during the Late Devonian: a case study from the Central Devonian Field, Russia

Paleobiology ◽  
2017 ◽  
Vol 43 (4) ◽  
pp. 550-568 ◽  
Author(s):  
Michał Zatoń ◽  
Tomasz Borszcz ◽  
Michał Rakociński
Keyword(s):  
Temporal Dynamics ◽  
Small Sample ◽  
Time Interval ◽  
Faunal Turnover ◽  
Central Devonian Field ◽  
Before And After ◽  
Substrate Size ◽  
Mass Extinction Event ◽  
Diversity Dynamics

AbstractIn this study we focused on the dynamics of encrusting assemblages preserved on brachiopod hosts collected from upper Frasnian and lower Famennian deposits of the Central Devonian Field, Russia. Because the encrusted brachiopods come from deposits bracketing the Frasnian/Famennian (F/F) boundary, the results also shed some light on ecological differences in encrusting communities before and after the Frasnian–Famennian (F-F) event. To explore the diversity dynamics of encrusting assemblages, we analyzed more than 1300 brachiopod valves (substrates) from two localities. Taxon accumulation plots and shareholder quorum subsampling (SQS) routines indicated that a reasonably small sample of brachiopod host valves (n=50) is sufficient to capture the majority of the encrusting genera recorded at a given site. The richness of encrusters per substrate declined simultaneously with the number of encrusting taxa in the lower Famennian, accompanied by a decrease in epibiont abundance, with a comparable decrease in mean encrustation intensity (percentage of bioclasts encrusted by one or more epibionts). Epibiont abundance and occupancy roughly mirror each other. Strikingly, few ecological characteristics are correlated with substrate size, possibly reflecting random settlement of larvae. Evenness, which is negatively correlated with substrate size, shows greater within-stage variability among samples than between Frasnian and Famennian intervals and may indicate the instability of early Famennian biocenoses following the faunal turnover. The occurrence distribution of encrusters points to nonrandom associations and exclusions among several encrusting taxa. However, abundance and occupancy of microconchids remained relatively stable throughout the sampled time interval. The notable decline in abundance (~60%) and relatively minor decline in diversity (~30%) suggest jointly that encrusting communities experienced ecological collapse rather than a major mass extinction event. The differences between the upper Frasnian and lower Famennian encrusting assemblages may thus record a turnover associated with the F-F event.

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