Analytical framework for mental health feature extraction methods in social networks

2021 ◽  
pp. 1-14
Author(s):  
Nazila Taghvaei ◽  
Behrooz Masoumi ◽  
Mohammad Reza Keyvanpour
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Feature Extraction ◽  
Social Network ◽  
Mental Disorders ◽  
Social Relations ◽  
Mental States ◽  
Extraction Methods ◽  
Virtual Space ◽  
Internet Technology

Today, with the development of internet technology, a new kind of social relations and interactions have been formed in the newly emerged social networks. Through social networks, the users can share different types of content, including personal information, text, image, video, music, poem, and other related information, which express their mental states, emotions, feelings, and thoughts. Thus, a new and essential aspect of human life is being formed in a virtual space in social networks, which must be explored from several viewpoints, such as mental disorders. Analyzing mental disorders according to the social network data can guide us to gain new approaches to improve the public health of the whole society. To this aim, developing mental health feature extraction (MHFE) methods in a social network is essential and is now becoming an active research area. Therefore, in this paper, a review of existing techniques and methods in MHFE is presented, and a comprehensive framework is provided to classify these approaches. Furthermore, to analyze and evaluate each approach in extraction methods, an appropriate set of functional criteria is proposed, which leads to a more accurate understanding and correct use of them.

Comparing the social networks of service users with long term mental health needs living in community with those in a general adult in-patient unit

2021 ◽  
pp. 002076402110175
Author(s):  
Roberto Rusca ◽  
Ike-Foster Onwuchekwa ◽  
Catherine Kinane ◽  
Douglas MacInnes
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Network ◽  
Patient Group ◽  
Mental Health Problems ◽  
Well Being ◽  
Health Problems ◽  
Practical Support ◽  
The Social

Background: Relationships are vital to recovery however, there is uncertainty whether users have different types of social networks in different mental health settings and how these networks may impact on users’ wellbeing. Aims: To compare the social networks of people with long-term mental illness in the community with those of people in a general adult in-patient unit. Method: A sample of general adult in-patients with enduring mental health problems, aged between 18 and 65, was compared with a similar sample attending a general adult psychiatric clinic. A cross-sectional survey collected demographic data and information about participants’ social networks. Participants also completed the Short Warwick Edinburgh Mental Well-Being Scale to examine well-being and the Significant Others Scale to explore their social network support. Results: The study recruited 53 participants (25 living in the community and 28 current in-patients) with 339 named as important members of their social networks. Both groups recorded low numbers in their social networks though the community sample had a significantly greater number of social contacts (7.4 vs. 5.4), more monthly contacts with members of their network and significantly higher levels of social media use. The in-patient group reported greater levels of emotional and practical support from their network. Conclusions: People with serious and enduring mental health problems living in the community had a significantly greater number of people in their social network than those who were in-patients while the in-patient group reported greater levels of emotional and practical support from their network. Recommendations for future work have been made.

scholarly journals IMPACT OF OFFLINE AND ONLINE SOCIAL NETWORKS ON LONELINESS AND MENTAL HEALTH AMONG ITALIAN OLDER PEOPLE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S529-S529
Author(s):  
Daniele Zaccaria ◽  
Georgia Casanova ◽  
Antonio Guaita
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Network ◽  
Older People ◽  
Online Social Networks ◽  
Social Network Sites ◽  
Well Being ◽  
Controlled Study ◽  
Face To Face ◽  
Causal Impact

Abstract In the last decades the study of older people and social networks has been at the core of gerontology research. The literature underlines the positive health effects of traditional and online social connections and also the social networks’s positive impact on cognitive performance, mental health and quality of life. Aging in a Networked Society is a randomized controlled study aimed at investigating causal impact of traditional face-to-face social networks and online social networks (e.g. Social Network Sites) on older people’ health, cognitive functions and well-being. A social experiment, based on a pre-existing longitudinal study (InveCe - Brain Aging in Abbiategrasso) has involved 180 older people born from 1935 to 1939 living in Abbiategrasso, a municipality near Milan. We analyse effects on health and well-being of smartphones and Facebook use (compared to engagement in a more traditional face-to-face activity), exploiting the research potential of past waves of InveCe study, which collected information concerning physical, cognitive and mental health using international validate scale, blood samples, genetic markers and information on social networks and socio-demographic characteristics of all participants. Results of statistical analysis show that poor social relations and high level of perceived loneliness (measured by Lubben Scale and UCLA Loneliness scale) affect negatively physical and mental outcomes. We also found that gender and marital status mediate the relationship between loneliness and mental wellbeing, while education has not significant effect. Moreover, trial results underline the causal impact of ICT use (smartphones, internet, social network sites) on self-perceived loneliness and cognitive and physical health.

scholarly journals Is there a role of gut microbiota in mental health?

2020 ◽  
Vol 9 ◽  
Author(s):  
Klaus W. Lange ◽  
Katharina M. Lange ◽  
Yukiko Nakamura ◽  
Shigehiko Kanaya
Keyword(s):  
Mental Health ◽  
Mental Disorders ◽  
Gut Microbiota ◽  
Large Scale ◽  
Mental States ◽  
Autism Spectrum ◽  
Clinical Findings ◽  
Intestinal Microbes ◽  
Brain Functions ◽  
Intervention Trials

Research on the interaction between gut microbiota and the brain may have implications for our understanding of brain function, cognition, behavior and mental health. The literature on gut microbiota and its role in the pathophysiology and potential treatment of mental disorders has proliferated in recent years. Several neurodevelopmental disorders, including autism spectrum disorders, schizophrenia and attention-deficit/hyperactivity disorder, have been linked to the gut microbiota. The present perspective discusses the promise and pitfalls of gut microbiota research in relation to mental health. The manipulation of intestinal microbes in animals has revealed connections between gut microbiota and both normal and pathological brain functions. The hope fueling this research is that gut microbiota could be harnessed to prevent and treat mental disorders. The links observed between an imbalance of gut microbiota and impaired behavioral and mental states in humans are correlational. It is therefore essential to establish cause and effect relationships. No distinct gut microbiota patterns linked to different mental disorders have yet been identified. Large-scale, longitudinal trials need to examine whether the gut microbiota is a valid therapeutic target for mental disorders and whether pre-clinical findings and initial results of intervention trials (e.g., administration of probiotics) are of clinical relevance.

scholarly journals Image and sport: exhibition of brazilian athletes on the instagram social network

2020 ◽  
pp. 1-5
Author(s):  
Vivian de Oliveira ◽  
Ivan Wallan Tertuliano ◽  
José Maria Montiel ◽  
Daniel Bartholomeu ◽  
Afonso Antonio Machado
Keyword(s):  
Social Networks ◽  
Social Network ◽  
New Media ◽  
Social Relations ◽  
Female Athletes ◽  
Common Type ◽  
Traditional Media ◽  
Male And Female ◽  
Study Results ◽  
Analysis Of The Images

Background: Social networks have changed the dynamics of society in communication, commercial and social relations, advertising, among others. In sports, this would not be different. Along with this, the new media open up new possibilities for exploration of the image of the athlete, since traditional media conduct different treatments for male and female athletes. Objective: To verify the posts made on Instagram by Brazilian athletes and to verify if there are differences related to the gender of the athletes in the contents posted. Methods: The subjects selected for this research were Brazilian athletes and medalists of the 2012 Summer Olympics. The data were obtained through the collection of the images that the athletes posted on the Instagram and after that, the analysis of the images were made with the use of a checklist created for that study. Results: The results indicated that male and female did not present differences between categories of posted images. The most common type of images posted are the images in which the athlete is present, in places related to their work and in moments of relaxation. It also highlights the fact that most of the images posted do not make any reference to the sponsorships of the athletes. Conclusion: Therefore, it can be concluded that male and female have the same behavior of photo posting on social networks. It is also observed that the potential of social networks for advertising is still little explored by Brazilian athletes. Due to the originality of this work and because it seems to be a very pertinent theme in the present day, it is suggested the extension of this study.

scholarly journals Perception of internal medicine residents regarding psychiatric patients’ care

2021 ◽  
Vol 45 (2) ◽  
Author(s):  
Paulo Roberto Oliveira Henrique Santana ◽  
Cibele Isaac Saad Rodrigues
Keyword(s):  
Internal Medicine ◽  
Mental Health ◽  
Mental Disorders ◽  
Social Relations ◽  
Psychiatric Patients ◽  
Scientific Progress ◽  
Educational Interventions ◽  
Cross Sectional ◽  
Attribution Questionnaire ◽  
Cross Sectional Design

Abstract: Introduction: Mental disorders are accountable for the segregation of patients in many diverse cultures and historical moments worldwide. The evolution of neuroscience, technologies and advances in the psychosocial sphere have not been enough to change this paradigm. Many people still fear having social relations with someone with a psychiatric disorder, despite scientific progress and efforts to reduce prejudice in recent decades. Objective: The aim of this study was to assess the training in mental health during the undergraduate course offered to residents in Internal Medicine and analyze the feelings, perceptions, and stigmas of these physicians regarding the care offered to patients with mental disorders. Method: This study has a qualitative, quantitative approach and descriptive, cross-sectional design. Thirty-two residents in Internal Medicine participated and, for comparison, the questionnaires were also answered by 8 residents in Psychiatry. Two instruments were applied: one for the characterization of the participants’ sociodemographic profile and the attribution questionnaire (AQ-26B). Qualitative data were obtained through a focus group with 14 residents and the content analysis was used for categorization. The most frequent categories were illustrated with Pareto charts. Results: The results demonstrated that residents in internal medicine showed higher indexes of stigma regarding aspects such as fear and intolerance. It was also possible to infer gaps related to training in mental health, low perception of care responsibility, in addition to the difficulty in legitimizing complaints and showing negative feelings. Conclusion: One can conclude the need for educational interventions that promote the decrease of the stigma and the search for training regarding comprehensive and empathic care for patients with mental disorders.

Determinants of user behaviour and recommendation in social networks

2014 ◽  
Vol 114 (9) ◽  
pp. 1477-1498 ◽  
Author(s):  
Rafael Curras-Perez ◽  
Carla Ruiz-Mafe ◽  
Silvia Sanz-Blas
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Relations ◽  
Perceived Control ◽  
Structural Equation ◽  
Uses And Gratifications ◽  
Structural Equation Models ◽  
Uses And Gratifications Theory ◽  
Content Type ◽  
The Individual

Purpose – The purpose of this paper is to analyse the determinants of social network use behaviour using Theory of Planned Behaviour (TPB) and Uses and Gratifications Theory. Design/methodology/approach – A quantitative study was carried out with data gathered by personal interview using a structured questionnaire. Relationships proposed in the theoretical model were estimated through structural equation models. In total, 811 users of social networks over 14 and residents in Spain were part of the sample. Findings – Results indicate that use attitude and the subjective norm, both TPB variables, directly and significantly influence social network loyalty. Thus, network loyalty can be achieved if the individual shows a favourable attitude towards use and receives positive feed-back (comments, opinions, etc.) from friends, acquaintances and other individuals in their environment. Perceived control has no influence on social network loyalty. Finally, this research highlights the importance of socialisation and entertainment as antecedents of social network attitude. Research limitations/implications – Social network use has been analysed globally and database includes users with very different profiles (e.g. Facebook and Tuenti) what may skew the results. Practical implications – Individuals access social networks to establish social links with friends/family/acquaintances, seeking entertainment and fun, but they are never used to be fashionable or up-to-date. Given the importance of social relations, companies should motivate participation elements in their social networks profiles. Originality/value – The paper presents a model that explains the formation of loyal social network customers, integrating TPB and Uses and Gratifications Theory to enable understanding of the role of these networks in individuals’ lives.

scholarly journals Neurobiological Bases of Social Networks

2021 ◽  
Vol 12 ◽  
Author(s):  
Mengfei Han ◽  
Gaofang Jiang ◽  
Haoshuang Luo ◽  
Yongcong Shao
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Dopamine Receptor ◽  
Functional Properties ◽  
Cognitive Abilities ◽  
Neural Mechanism ◽  
Well Being ◽  
Mental States ◽  
Social Signals ◽  
The Brain

A social network is a web that integrates multiple levels of interindividual social relationships and has direct associations with an individual’s health and well-being. Previous research has mainly focused on how brain and social network structures (structural properties) act on each other and on how the brain supports the spread of ideas and behaviors within social networks (functional properties). The structure of the social network is correlated with activity in the amygdala, which links decoding and interpreting social signals and social values. The structure also relies on the mentalizing network, which is central to an individual’s ability to infer the mental states of others. Network functional properties depend on multilayer brain-social networks, indicating that information transmission is supported by the default mode system, the valuation system, and the mentalizing system. From the perspective of neuroendocrinology, overwhelming evidence shows that variations in oxytocin, β-endorphin and dopamine receptor genes, including oxytocin receptor (OXTR), mu opioid receptor 1 (OPRM1) and dopamine receptor 2 (DRD2), predict an individual’s social network structure, whereas oxytocin also contributes to improved transmission of emotional and behavioral information from person to person. Overall, previous studies have comprehensively revealed the effects of the brain, endocrine system, and genes on social networks. Future studies are required to determine the effects of cognitive abilities, such as memory, on social networks, the characteristics and neural mechanism of social networks in mental illness and how social networks change over time through the use of longitudinal methods.

scholarly journals Standardized Methods of Assessment of Individual’s Social Network in Social Work and Psychological Practice

2015 ◽  
Vol 4 (4) ◽  
pp. 1-11
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Theoretical Analysis ◽  
Social Relations ◽  
Basic Information ◽  
Psychological Practice ◽  
The Social ◽  
The Individual ◽  
And Function ◽  
Theoretical Overview

This article is a theoretical overview of the main standardized techniques for assessment of the social relations of the individual. The study of these techniques allows professionals to get the basic information about the microsocial environment of people. Theoretical analysis shows that the study of the social network of an individual involves the analysis of its structure, composition and function of its components. Described and analyzed the most common techniques for assessment of human social networks - "Name generator", "Drawing a social network", "Inventory of Social Network" (K. Bartholomew), "Social Networks Inventory " (Treadwell T. and co.), "Social Network Index "( L. Berkman, S. Syme), "Social Network List" (B. Hirsch, J. Stokes). Separately, the method of drawing up clients structured diary and method network card are shown.

scholarly journals Analyzing the Effectiveness of the Brain–Computer Interface for Task Discerning Based on Machine Learning

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2403
Author(s):  
Jakub Browarczyk ◽  
Adam Kurowski ◽  
Bozena Kostek
Keyword(s):  
Feature Extraction ◽  
Principal Component ◽  
Component Analysis ◽  
Mental States ◽  
Extraction Methods ◽  
Support Vector ◽  
Discrete Wavelet ◽  
K Nearest Neighbors ◽  
Vector Machines

The aim of the study is to compare electroencephalographic (EEG) signal feature extraction methods in the context of the effectiveness of the classification of brain activities. For classification, electroencephalographic signals were obtained using an EEG device from 17 subjects in three mental states (relaxation, excitation, and solving logical task). Blind source separation employing independent component analysis (ICA) was performed on obtained signals. Welch’s method, autoregressive modeling, and discrete wavelet transform were used for feature extraction. Principal component analysis (PCA) was performed in order to reduce the dimensionality of feature vectors. k-Nearest Neighbors (kNN), Support Vector Machines (SVM), and Neural Networks (NN) were employed for classification. Precision, recall, F1 score, as well as a discussion based on statistical analysis, were shown. The paper also contains code utilized in preprocessing and the main part of experiments.

Impact of community mental health services on users' social networks

1998 ◽  
Vol 173 (5) ◽  
pp. 404-408 ◽  
Author(s):  
Thomas Becker ◽  
Morven Leese ◽  
Paul McCrone ◽  
Paul Clarkson ◽  
George Szmukler ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Network ◽  
Mental Health Services ◽  
Community Mental Health ◽  
Health Services ◽  
Service Sector ◽  
Community Mental Health Services ◽  
Controlled Study ◽  
Standard Service

BackgroundSocial networks are important for people with severe mental illness, and services need to assess whether they succeed in improving social contacts.MethodIn a prospective controlled study, social network data were obtained in an epidemiologically representative sample of people with psychotic disorders both before (Time I) and two years after (Time 2) the introduction of two sectorised community mental health services in south London (one intensive service with two specialist teams, one standard service with a generic team).ResultsThere were significant baseline differences between sectors with social networks being smaller in the sector later served by the intensive service. Social network size increased within the intensive service sector, but not in the standard service sector. There was a significant sector effect for the network component of relatives (intensive > standard) and in the other (‘non friends’) component (standard > intensive) after adjusting for baseline differences.ConclusionsThe findings suggest that the intensive sector community mental health service enhanced peoples social networks with their relatives, relative to the standard service. The reverse is the case for other contacts.

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