Results 261 to 270 of about 1,636,625 (328)

Discovering social groups via latent structure learning.

Journal of Experimental Psychology: General, 2018
Humans form social coalitions in every society on earth, yet we know very little about how social group boundaries are learned and represented. We derive predictions from a computational model of latent structure learning to move beyond explicit category labels and mere similarity as the sole inputs to social group representations.
Tatiana Lau   +3 more
openaire   +3 more sources

Latent Social Services in Group Dieting

Social Problems, 1975
Participant observation and interview data from diet groups reveal some latent and unintended consequences in a voluntary, self-help facility. Group dieting offers five basic social services: (1) the encouragement to let off steam; (2) a friendly social occasion to express sociability for its own sake as a means to face tensions; (3) an outlet to ...
Natalie Allon
openaire   +2 more sources

VALIDATION OF THE SOCIAL AND EMOTIONAL HEALTH SURVEY FOR FIVE SOCIOCULTURAL GROUPS: MULTIGROUP INVARIANCE AND LATENT MEAN ANALYSES

Psychology in the Schools, 2015
Social‐emotional health influences youth developmental trajectories and there is growing interest among educators to measure the social‐emotional health of the students they serve. This study replicated the psychometric characteristics of the Social Emotional Health Survey (SEHS) with a diverse sample of high school students (Grades 9–12; N = 14,171 ...
Sukkyung You   +3 more
openaire   +2 more sources

Signed Graph Neural Network with Latent Groups

Knowledge Discovery and Data Mining, 2021
Signed graph representation learning is an effective approach to analyze the complex patterns in real-world signed graphs with the co-existence of positive and negative links.
Haoxin Liu   +6 more
semanticscholar   +1 more source

An alternative class of models to position social network groups in latent spaces

Brazilian Journal of Probability and Statistics, 2022
Identifying key nodes, estimating the probability of connection between them, and distinguishing latent groups are some of the main objectives of social network analysis. In this paper, we propose a class of blockmodels to model stochastic equivalence and visualize groups in an unobservable space.
Izabel Nolau, Gustavo Ferreira
openaire   +2 more sources

Modelling the influence of social network with a multiple group latent class analysis

The Journal of Mathematical Sociology, 2020
Presence of social network among the respondents in a survey may have an influence on the patterns of response.
Ankita Dey   +2 more
openaire   +1 more source

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