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 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.

Community detection in social networks

2017 ◽  
Vol 01 (01) ◽  
pp. 1630001 ◽  
Author(s):  
Hossein Fani ◽  
Ebrahim Bagheri
Keyword(s):  
Social Networks ◽  
Social Interactions ◽  
Computer Science ◽  
Community Detection ◽  
Online Social Networks ◽  
Online Community ◽  
Detection Methods ◽  
Fundamental Part ◽  
Social Settings ◽  
Online Experience

Online social networks have become a fundamental part of the global online experience. They facilitate different modes of communication and social interactions, enabling individuals to play social roles that they regularly undertake in real social settings. In spite of the heterogeneity of the users and interactions, these networks exhibit common properties. For instance, individuals tend to associate with others who share similar interests, a tendency often known as homophily, leading to the formation of communities. This entry aims to provide an overview of the definitions for an online community and review different community detection methods in social networks. Finding communities are beneficial since they provide summarization of network structure, highlighting the main properties of the network. Moreover, it has applications in sociology, biology, marketing and computer science which help scientists identify and extract actionable insight.

scholarly journals Natural chromatin is heterogeneous and self-associates in vitro

2018 ◽  
Vol 29 (13) ◽  
pp. 1652-1663 ◽  
Author(s):  
Shujun Cai ◽  
Yajiao Song ◽  
Chen Chen ◽  
Jian Shi ◽  
Lu Gan
Keyword(s):  
Divalent Cations ◽  
Large Mass ◽  
Higher Order ◽  
Linker Histone ◽  
Order Structure ◽  
Face To Face ◽  
Chromatin Packing ◽  
Electron Cryotomography

The 30-nm fiber is commonly formed by oligonucleosome arrays in vitro but rarely found inside cells. To determine how chromatin higher-order structure is controlled, we used electron cryotomography (cryo-ET) to study the undigested natural chromatin released from two single-celled organisms in which 30-nm fibers have not been observed in vivo: picoplankton and yeast. In the presence of divalent cations, most of the chromatin from both organisms is condensed into a large mass in vitro. Rare irregular 30-nm fibers, some of which include face-to-face nucleosome interactions, do form at the periphery of this mass. In the absence of divalent cations, picoplankton chromatin decondenses into open zigzags. By contrast, yeast chromatin mostly remains condensed, with very few open motifs. Yeast chromatin packing is largely unchanged in the absence of linker histone and mildly decondensed when histones are more acetylated. Natural chromatin is therefore generally nonpermissive of regular motifs, even at the level of oligonucleosomes.

scholarly journals Individual Differences in Learning Social and Non-Social Network Structures

2017 ◽  
Author(s):  
Steven Tompson ◽  
Ari E Kahn ◽  
Emily B. Falk ◽  
Jean M Vettel ◽  
Danielle S Bassett
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Individual Differences ◽  
Social Contexts ◽  
Higher Order ◽  
Social Orientation ◽  
Order Structure ◽  
Network Learning ◽  
Social Traits ◽  
The Impact

Learning about complex associations between pieces of information enables individuals to quickly adjust their expectations and develop mental models. Yet, the degree to which humans can learn higher-order information about complex associations is not well understood; nor is it known whether the learning process differs for social and non-social information. Here, we employ a paradigm in which the order of stimulus presentation forms temporal associations between the stimuli, collectively constituting a complex network structure. We examined individual differences in the ability to learn network topology for which stimuli were social versus non-social. Although participants were able to learn both social and non-social networks, their performance in social network learning was uncorrelated with their performance in non-social network learning. Importantly, social traits, including social orientation and perspective-taking, uniquely predicted the learning of social networks but not the learning of non-social networks. Taken together, our results suggest that the process of learning higher-order structure in social networks is independent from the process of learning higher-order structure in non-social networks. Our study design provides a promising approach to identify neurophysiological drivers of social network versus non-social network learning, extending our knowledge about the impact of individual differences on these learning processes. Implications for how people learn and adapt to new social contexts that require integration into a new social network are discussed.

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.

Social Networks and Vote Choice

2016 ◽  
Author(s):  
Lauren Ratliff Santoro ◽  
Paul A. Beck
Keyword(s):  
Social Networks ◽  
Social Interactions ◽  
Voting Behavior ◽  
Vote Choice ◽  
Electronic Interactions ◽  
European Elections ◽  
Face To Face ◽  
Future Work ◽  
Scholarly Attention

Do social networks influence vote choice? This chapter reviews if and how social interactions shape individual voting choices. While the literature on social networks and the decision to turn out to vote is extensive, less scholarly attention has been devoted to understanding the link between social networks and vote choice. This work is dominated by studies of voting behavior in American and European elections, in which special features of the elections themselves must be considered when drawing conclusions about the role of social networks. The connection of social networks to voting choices provides an area of opportunity for scholars who seek to understand both networks and voting behavior, but it also poses substantial challenges, especially in differentiating selection from influence and moving beyond face-to-face discussion to electronic interactions, which future work needs to address.

The origins of narrative

2002 ◽  
Vol 1 (1) ◽  
pp. 97-123 ◽  
Author(s):  
Kerstin Dautenhahn
Keyword(s):  
Social Networks ◽  
Social Interaction ◽  
Social Interactions ◽  
Social Intelligence ◽  
Social Dynamics ◽  
Social Needs ◽  
Human Communication ◽  
Developmental Continuity ◽  
Narrative Format

This article presents work in progress towards a better understanding of the origins of narrative. Assuming an evolutionary and developmental continuity of mental experiences, we propose a grounding of human narrative capacities in non-verbal narrative transactions in non-human animals, and in pre-verbal narrative transactions of human children. We discuss narrative intelligence in the context of the evolution of primate (social) intelligence, and with respect to the particular cognitive limits that constrain the development of human social networks and societies. We explain the Narrative Intelligence Hypothesis which suggests that the evolutionary origin of communicating in a narrative format co-evolved with increasingly complex social dynamics among our human ancestors. This article gives examples of social interactions in non-human primates and how these can be interpreted in terms of narrative formats. Due to the central role of narrative in human communication and social interaction, we discuss how research into the origins of narrative can impact the development of humane technology which is designed to meet the biological, cognitive and social needs of human story-tellers.

High concentration of DNA in condensed chromatin

2003 ◽  
Vol 81 (3) ◽  
pp. 91-99 ◽  
Author(s):  
Joan-Ramon Daban
Keyword(s):  
Chromatin Condensation ◽  
Higher Order ◽  
Order Structure ◽  
Local Concentration ◽  
High Concentration ◽  
Metaphase Chromosomes ◽  
Face To Face ◽  
The Face ◽  
Chromatin Packing ◽  
High Concentrations

The lengths of the DNA molecules of eukaryotic genomes are much greater than the dimensions of the metaphase chromosomes in which they are contained during mitosis. From this observation it has been generally assumed that the linear packing ratio of DNA is an adequate measure of the degree of DNA compaction. This review summarizes the evidence suggesting that the local concentration of DNA is more appropriate than the linear packing ratio for the study of chromatin condensation. The DNA concentrations corresponding to most of the models proposed for the 30–40 nm chromatin fiber are not high enough for the construction of metaphase chromosomes. The interdigitated solenoid model has a higher density because of the stacking of nucleosomes in secondary helices and, after further folding into chromatids, it yields a final concentration of DNA that approaches the experimental value found for condensed chromosomes. Since recent results have shown that metaphase chromosomes contain high concentrations of the chromatin packing ions Mg2+ and Ca2+, it is discussed that dynamic rather than rigid models are required to explain the condensation of the extended fibers observed in the absence of these cations. Finally, considering the different lines of evidence demonstrating the stacking of nucleosomes in different chromatin complexes, it is suggested that the face-to-face interactions between nucleosomes may be the driving force for the formation of higher order structures with a high local concentration of DNA.Key words: chromosomes, metaphase chromosomes, chromatin, chromatin higher order structure, DNA.

scholarly journals Using multilayer network analysis to explore the temporal dynamics of collective behavior

2020 ◽  
Author(s):  
David N Fisher ◽  
Noa Pinter-Wollman
Keyword(s):  
Social Networks ◽  
Network Analysis ◽  
Social Interactions ◽  
Network Structure ◽  
Collective Behavior ◽  
Temporal Dynamics ◽  
Multilayer Network ◽  
Collective Behaviors ◽  
The Social ◽  
Over Time

Abstract Social organisms often show collective behaviors such as group foraging or movement. Collective behaviors can emerge from interactions between group members and may depend on the behavior of key individuals. When social interactions change over time, collective behaviors may change because these behaviors emerge from interactions among individuals. Despite the importance of, and growing interest in, the temporal dynamics of social interactions, it is not clear how to quantify changes in interactions over time or measure their stability. Furthermore, the temporal scale at which we should observe changes in social networks to detect biologically meaningful changes is not always apparent. Here we use multilayer network analysis to quantify temporal dynamics of social networks of the social spider Stegodyphus dumicola and determine how these dynamics relate to individual and group behaviors. We found that social interactions changed over time at a constant rate. Variation in both network structure and the identity of a keystone individual was not related to the mean or variance of the collective prey attack speed. Individuals that maintained a large and stable number of connections, despite changes in network structure, were the boldest individuals in the group. Therefore, social interactions and boldness are linked across time, but group collective behavior is not influenced by the stability of the social network. Our work demonstrates that dynamic social networks can be modeled in a multilayer framework. This approach may reveal biologically important temporal changes to social structure in other systems.

Hostility and Perceptions of Support in Ambiguous Social Interactions

2006 ◽  
Vol 27 (2) ◽  
pp. 108-115 ◽  
Author(s):  
Ana-Maria Vranceanu ◽  
Linda C. Gallo ◽  
Laura M. Bogart
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Information Processing ◽  
Social Interactions ◽  
Social Information Processing ◽  
Perceived Social Support ◽  
Social Information ◽  
Inverse Association ◽  
Processing Bias ◽  
Information Processing Bias

The present study investigated whether a social information processing bias contributes to the inverse association between trait hostility and perceived social support. A sample of 104 undergraduates (50 men) completed a measure of hostility and rated videotaped interactions in which a speaker disclosed a problem while a listener reacted ambiguously. Results showed that hostile persons rated listeners as less friendly and socially supportive across six conversations, although the nature of the hostility effect varied by sex, target rated, and manner in which support was assessed. Hostility and target interactively impacted ratings of support and affiliation only for men. At least in part, a social information processing bias could contribute to hostile persons' perceptions of their social networks.

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