Network Analysis of the Social Environment Relative to Preference for and Tolerance of Exercise Intensity in CrossFit Gyms

Known for its ability to improve fitness and health, high-intensity functional training (HIFT) focuses on functional movements completed at high intensities, often yielding outcomes superior to repetitive aerobic workouts. Preference for and tolerance of high-intensity exercise are associated with enjoyment of and adherence to HIFT. Similarly, the social environment present within CrossFit, a popular group-based HIFT modality, is important to the enjoyment of and adherence to HIFT. This study aimed to test whether preference and tolerance were related to social connections within CrossFit networks. Linear network autocorrelation models (LNAMs) and exponential random graph models (ERGMs) were computed on sociometric and attribute data from members of three CrossFit networks (n = 197). LNAMs showed the preference and tolerance scores of someone’s social connections were associated with their own in all three gyms, and ERGMs demonstrated preference and tolerance scores were associated with the presence of social ties within all networks. This study is the first to provide evidence for a relationship between social connections and preference and tolerance. Future longitudinal research is needed to determine if the social environment may influence and optimize a person’s preference of and tolerance for HIFT.

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Why Legislative Networks? Analyzing Legislative Network Formation

Political Science Research and Methods ◽

10.1017/psrm.2017.37 ◽

2017 ◽

Vol 7 (3) ◽

pp. 505-522 ◽

Cited By ~ 4

Author(s):

Stefan Wojcik

Keyword(s):

Political Parties ◽

Network Formation ◽

Contemporary Literature ◽

Party Organization ◽

Exponential Random Graph Models ◽

Graph Models ◽

Personal Traits ◽

Random Graph Models ◽

Exponential Random Graph ◽

The Social

Are the social networks of legislators affected more by their political parties or their personal traits? How does the party organization influence the tendency of members to work collectively on a day-to-day basis? In this paper, I explore the determinants of the relationships of legislators in the Brazilian Chamber of Deputies. I use exponential random graph models to evaluate the relative influence of personal traits versus party influence in generating legislator relationships. Despite a focus on personalism in Brazil, the analysis reveals that the effects of political parties on tie formation are roughly equal to the effects of personal traits, suggesting that networks may make political parties much more cohesive than contemporary literature would lead us to believe.

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A Weighted Network Modeling Approach for Analyzing Product Competition

Volume 11A: 46th Design Automation Conference (DAC) ◽

10.1115/detc2020-22591 ◽

2020 ◽

Author(s):

Yaxin Cui ◽

Faez Ahmed ◽

Zhenghui Sha ◽

Lijun Wang ◽

Yan Fu ◽

...

Keyword(s):

Network Theory ◽

Network Modeling ◽

Network Models ◽

Social Aspects ◽

Exponential Random Graph Models ◽

Graph Models ◽

Random Graph Models ◽

Exponential Random Graph ◽

The Social ◽

Product Competition

Abstract Statistical network models allow us to study the co-evolution between the products and the social aspects of a market system, by modeling these components and their interactions as graphs. In this paper, we study competition between different car models using network theory, with a focus on how product attributes (like fuel economy and price) affect which cars are considered together and which cars are finally bought by customers. Unlike past work, where most systems have been studied with the assumption that relationships between competitors are binary (i.e., whether a relationship exists or not), we allow relationships to take strengths (i.e., how strong a relationship is). Specifically, we use valued Exponential Random Graph Models and show that our approach provides a significant improvement over the baselines in predicting product co-considerations as well as in the validation of market share. This is also the first attempt to study aggregated purchase preference and car competition using valued directed networks.

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Duality beyond Dyads: Multiplex patterning of social ties and cultural meanings

10.31235/osf.io/xpf76 ◽

2020 ◽

Author(s):

Nikita Basov ◽

Julia Brennecke

Keyword(s):

Semantic Network ◽

Exponential Random Graph Models ◽

Cultural Meanings ◽

Network Ties ◽

Shared Meanings ◽

Exponential Random Graph ◽

The Social ◽

Interpersonal Ties ◽

Cultural Networks ◽

Cultural Structures

Purpose: The social and cultural duality perspective suggests dual ordering of interpersonal ties and cultural similarities. Studies to date primarily focus on cultural similarities in interpersonal dyads driven by principles such as homophily and contagion. We aim to extend these principles for socio-cultural networks and investigate potentially competing micro-principles that generate these networks, taking into account not only direct dyadic overlap between interpersonal ties and cultural structures, but also the indirect interplay between the social and the cultural. Methodology: The empirical analysis utilizes social and semantic network data gathered through ethnographic studies of five creative organizations around Europe. We apply exponential random graph models (ERGMs) for multiplex networks to model the simultaneous operation of several generative principles of socio-cultural structuring yielding multiplex dyads and triads that combine interpersonal ties with meaning sharing links. Findings: The results suggest that in addition to the direct overlap of shared meanings and interpersonal ties, socio-cultural structure formation is also affected by extra-dyadic links. Namely, expressive interpersonal ties with common third persons condition meaning sharing between individuals, while meaning sharing with common alters leads to interpersonal collaborations. Beyond dyads, the dual ordering of the social and the cultural thus operates as asymmetrical with regard to different types of interpersonal ties. Research implications: The paper shows that in addition to direct dyadic overlap, network ties with third parties play an important role for the co-constitution of the social and the cultural. Moreover, we highlight that the concept of network multiplexity can be extended beyond its application social networks to investigate competing micro-principles guiding the interplay of social and cultural structures.

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Diagnosing Multicollinearity in Exponential Random Graph Models

10.31219/osf.io/hz93j ◽

2017 ◽

Cited By ~ 1

Author(s):

Scott W Duxbury

Keyword(s):

Random Graph ◽

Standard Errors ◽

Exponential Random Graph Models ◽

Multilevel Regression ◽

Graph Models ◽

Network Characteristics ◽

Random Graph Models ◽

Exponential Random Graph ◽

The Social ◽

Inflation Factor

Exponential random graph models (ERGM) have been widely applied in the social sciences in the past ten years. However, diagnostics for ERGM have lagged behind their use. Collinearity-type problems can emerge without detection when fitting ERGM, skewing coefficients, biasing standard errors, and yielding inconsistent model estimates. This article provides a method to detect multicollinearity in ERGM. It outlines the problem and provides a method to calculate the variance inflation factor from ERGM parameters. It then evaluates the method with a Monte Carlo simulation, fitting 216,000 ERGMs and calculating the variance inflation factors for each model. The distribution of variance inflation factors is analyzed using multilevel regression to determine what network characteristics lend themselves to collinearity-type problems. The relationship between variance inflation factors and unstable standard errors (a standard sign of collinearity) is also examined. The method is shown to effectively detect multicollinearity and guidelines for interpretation are discussed.

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Males are more sensitive to their audience than females when scent-marking in the redfronted lemur

10.1101/2021.09.02.458772 ◽

2021 ◽

Author(s):

Louise Rachel Peckre ◽

Alexandra Michiels ◽

Lluìs Socias-Martìnez ◽

Peter M. Kappeler ◽

Claudia Fichtel

Keyword(s):

Sex Differences ◽

Social Systems ◽

Scent Marking ◽

Female Dominance ◽

Olfactory Communication ◽

Exponential Random Graph Models ◽

Audience Effects ◽

Exponential Random Graph ◽

The Social ◽

Opposite Sex

Audience effects, i.e. changes in behaviour caused by the presence of conspecifics, have rarely been studied in the context of olfactory communication, even though they may provide important insights into the functions of olfactory signals. Functional sex differences in scent-marking behaviours are common and influenced by the social system. To date, patterns of functional sex differences in scent-marking behaviours remain unknown in species without overt dominance relationships. We investigated sex differences in intra-group audience effects on anogenital scent-marking in a wild population of redfronted lemurs (Eulemur rufifrons) by performing focal scent-marking observations. With a combination of generalised linear mixed models and exponential random graph models, we found different audience effects in both sexes. Males were overall more sensitive than females to their audience. Only males seemed to be sensitive to the presence of both members of the opposite sex and same-sex conspecifics in the audience. Females were only moderately sensitive to the presence of other females in the audience. This study offers a potential behavioural pattern associated with anogenital scent-marking that seem to differ from those described for species exhibiting female dominance, supporting the notion that the social systems co-varies with scent-marking behaviours and scent-complexity in strepsirrhines.

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Diagnosing Multicollinearity in Exponential Random Graph Models

10.31235/osf.io/2tgm7 ◽

2018 ◽

Cited By ~ 2

Author(s):

Scott W Duxbury

Keyword(s):

Random Graph ◽

Standard Errors ◽

Exponential Random Graph Models ◽

Multilevel Regression ◽

Graph Models ◽

Network Characteristics ◽

Random Graph Models ◽

Exponential Random Graph ◽

The Social ◽

Inflation Factor

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Seed exchange networks, ethnicity, and sorghum diversity

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1513238112 ◽

2015 ◽

Vol 113 (1) ◽

pp. 98-103 ◽

Cited By ~ 26

Author(s):

Vanesse Labeyrie ◽

Mathieu Thomas ◽

Zachary K. Muthamia ◽

Christian Leclerc

Keyword(s):

Exponential Random Graph Models ◽

Graph Models ◽

Exchange Networks ◽

Seed Exchange ◽

Crop Genetic Diversity ◽

Random Graph Models ◽

Kinship System ◽

Exponential Random Graph ◽

The Social ◽

The Impact

Recent studies investigating the relationship between crop genetic diversity and human cultural diversity patterns showed that seed exchanges are embedded in farmers’ social organization. However, our understanding of the social processes involved remains limited. We investigated how farmers’ membership in three major social groups interacts in shaping sorghum seed exchange networks in a cultural contact zone on Mount Kenya. Farmers are members of residence groups at the local scale and of dialect groups clustered within larger ethnolinguistic units at a wider scale. The Chuka and Tharaka, who are allied in the same ethnolinguistic unit, coexist with the Mbeere dialect group in the study area. We assessed farmers’ homophily, propensity to exchange seeds with members of the same group, using exponential random graph models. We showed that homophily is significant within both residence and ethnolinguistic groups. At these two levels, homophily is driven by the kinship system, particularly by the combination of patrilocal residence and ethnolinguistic endogamy, because most seeds are exchanged among relatives. Indeed, residential homophily in seed exchanges results from local interactions between women and their in-law family, whereas at a higher level, ethnolinguistic homophily is driven by marriage endogamy. Seed exchanges and marriage ties are interrelated, and both are limited between the Mbeere and the other groups, although frequent between the Chuka and Tharaka. The impact of these social homophily processes on crop diversity is discussed.

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Social Connections and Homeless’ People Views on them

Russian Journal of Deviant Behavior ◽

10.35750/2713-0622-2021-2-230-244 ◽

2021 ◽

Vol 1 (2) ◽

pp. 230-244

Author(s):

Kirill Zlokazov ◽

Ivanina Ancheva

Keyword(s):

Social Interaction ◽

Social Environment ◽

Social Impact ◽

Social Ties ◽

Homeless People ◽

Self Report ◽

Living Standard ◽

Social Connections ◽

The Social ◽

The Impact

Introduction. The significance of social connections is due to diverse and crucial impact of environment to human life. The study of social connections enables to identify a person’s living standard and wellbeing. Addressing homeless people means better awareness and the opportunity to organize psychological assistance to them as well as to clarify the issue of social ties formation. The study aims to review the theoretical concept of personal social connections and to analyze the homeless’ subjective views on their state. The research tasks are to review a social connections structure; to carry out research on the homeless’ social connections and to analyze the characteristics of these ties. Methodology. The social-subjective approach to social interaction is the key methodology of the study. It enables to form a concept of the homeless’ ties with other people and build the model of their social interaction. The advantage of the approach is the possibility to research the social ties of the homeless, to gather data about the parameters of these connections, to understand how the homeless perceive people around them, the society and themselves. The main method of the study was the self-report. The survey on quantitative and qualitative characteristics of social connections of the homeless as well as the questionnaire on the key parameters of the person’s interaction with society (getting support from the social environment, self – assessment of the interaction, the impact on social environment) were conducted. The data were processed by descriptive statistics and Kruskal–Wallis H test. The sample of the study consisted of 197 participants aged 45–50. The majority of the sample (80%) was male. The research procedure. We compared the subjective awareness of social interaction of the homeless and people who have accommodation. Our results show the decrease of social impact on the person among the homeless. It is determined by low rapport, poor interpersonal communication, low authority and low reference as well as little value of social environment. The research reveals that the homeless make an improper evaluation of their interaction with social environment. That results in low assessment of social support, underestimation of their own impact on the environment and overestimation of their ability to interact. Scientific novelty. The findings of the study expand the understanding of the state of homelessness. They reveal socialpsychological characteristics of the homeless interaction with the environment as well as specifies the concept of socialperceptive ideas formed during these interactions with the environment. Practical significance. This study emphasizes the necessity of forming the homeless social skills, indicates the issues of psychological prevention in counseling and providing social assistance to this category of citizens.

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