Construction Of Social Networks Research Articles

Analysis on the management strategy of happiness education based on human-oriented care

This study aims to explore happiness education management strategies for engineering students based on person-centered care. The research adopts a mixed-methods approach, combining quantitative and qualitative research. In the quantitative phase, a sample of 300 engineering students is recruited through a questionnaire survey. In the qualitative phase, 15 engineering students participate in semi-structured interviews, and 2 focus groups are conducted. The research results indicate differences among engineering students in dimensions of happiness, such as positive emotions, self-satisfaction, social support, and academic satisfaction. The application of person-centered care in happiness education has a positive impact on students’ learning motivation, emotional identity, and self-satisfaction. Additionally, current happiness education management strategies have achieved certain results in emotional management and social support but still have room for improvement in personalized support and care. Strategies based on person-centered care show significant advantages in multiple dimensions, comprehensively meeting the emotional and social needs of engineering students and enhancing their happiness levels. The findings of this study highlight the crucial role of person-centered care in happiness education for engineering students. It is recommended to strengthen the integration of person-centered care principles, provide diversified emotional management support, enhance the construction of social support networks, develop personalized happiness education plans, and continually assess and improve the effectiveness of strategies. These recommendations will contribute to optimizing happiness education management for engineering students, promoting their comprehensive development and growth.

Community detection in decentralized social networks with local differential privacy

Community detection under local differential privacy has been a research hotspot recently. Most existing methods primarily rely on the edge local differential privacy model (edge-LDP), compromising privacy strength for high utility. In addition, they adopt a way of agglomerating nodes one by one to construct communities (or clusters) through multiple iterations, suffering from significant noise and low detection efficiency. Moreover, the error accumulation caused by large-scale iterations is not conducive to detection accuracy. To address these issues, we propose a privacy-preserving community detection method, CD-LDP, based on node-LDP, achieving efficient and accurate community construction by aggregating grouped units instead of individual nodes and delimiting the interaction to three rounds. Specifically, we propose a privacy-preserving global social network construction method to gain connectivity information among all nodes through two rounds of interactions. In addition, a novel perturbation mechanism based on the star social network structure is devised, which improves the accuracy of the global social network by reducing the probability of generating fake edges. Secondly, we design a privacy-preserving node grouping approach leveraging clustering coefficients and Haar discrete wavelet transform in the third round, achieving low noise injection and high-quality node grouping through lossless dimensionality reduction. Lastly, we develop a fast unit merging algorithm combining modularity and Huffman trees to realize efficient and accurate community building by reducing the aggregation possibility of nodes with low similarity. Theoretical analysis and experimentation on real-world datasets testify that our solution can efficiently extract high-quality community structures while satisfying node-LDP.

Competitive social capital in improving the performance of small and medium enterprises (SMEs): Role of knowledge donating and knowledge collecting

The primary aim of this research is to investigate and establish the significance of competitive social capital in augmenting the performance of craft (batik) small and medium-sized enterprises (SMEs) in the region of Central Java, Indonesia. This study centers its attention on the factors that influence knowledge donation and knowledge collection. The quantitative methodology used structural equation modelling with partial least squares (SEM-PLS). Participants were recruited from craft (batik) SMEs in the cities of Semarang, Pekalongan, Kudus, Pati and Solo through an online questionnaire. The study’s results suggest that engaging in knowledge donation and knowledge collecting has a positive and statistically significant influence on the competitive social capital and performance of SMEs. Both the processes of knowledge donation and knowledge collection are key elements in the construction and utilization of a resilient social network, which subsequently has positive impacts on performance. Moreover, it is important to acknowledge that competitive social capital might serve as a mediator in the causal relationship between knowledge donation, knowledge collecting, and business performance. This suggests that the existence of competitive social capital functions as a mechanism for linking the facilitation of knowledge donating and knowledge collecting, ultimately resulting in the development of business performance.

Design and validation of a scale of core components of community interventions in mental health.

To develop and validate an instrument to identify the core components of community strategies for mental health, especially mutual aid groups: The Mutual Aid Scale . 135 community strategies leaders participated in the study. The core components are active agency, coping strategies, recognition, and management of emotions, problem-solving strategies, supportive interaction, trust, self-identity construction, and strengthening of social networks. With these components a scale was designed. Content validity was carried out in addition to an exploratory factor analysis. Two dimensions resulted, strengthening of agency capacity and Coping strategies, and the internal consistency of both factors was acceptable, with a Cronbach's alpha of 0.722 and 0.727, respectively. The Kaiser-Meyer-Olkin (KMO) statistic was used with a score of 0.831 and the Barlett Sphericity Test, with a significant value of 265.175. This scale identifies the components of community interventions for mental health and can contribute to a better implementation of these strategies. It also articulates autonomous community processes with strategies developed in health services.

A Comparative Analysis of Community Detection Agglomerative Technique Algorithms and Metrics on Citation Network

Social Network Analysis is a discipline that represents social relationships as a network of nodes and edges. The construction of social network with clusters will contribute in sharing the common characteristics or behaviour of a group. Partitioning the graph into modules is said to be a community. Communities are meant to symbolize actual social groups that share common characteristics. Citation network is one of the social networks with directed graphs where one paper will cite another paper and so on. Citation networks will assist the researcher in choosing research directions and evaluating research impacts. By constructing the citation networks with communities will direct the user to identify the similarity of documents which are interrelated to one or more domains. This paper introduces the agglomerative technique algorithms and metrics to a directed graph which determines the most influential nodes and group of similar nodes. The two stages required to construct the communities are how to generate network with communities and how to quantify the network performance. The strength and a quality of a network is quantified in terms of metrics like modularity, normalized mutual information (NMI), betweenness centrality, and F-Measure. The suitable community detection techniques and metrics for a citation graph were introduced in this paper. In the field of community detection, it is common practice to categorize algorithms according to the mathematical techniques they employ, and then compare them on benchmark graphs featuring a particular type of assortative community structure. The algorithms are applied for a sample citation sub data is extracted from DBLP, ACM, MAG and some additional sources which is taken from and consists of 101 nodes (nc) with 621 edges € and formed 64 communities. The key attributes in dataset are id, title, abstract, references SLM uses local optimisation and scalability to improve community detection in complicated networks. Unlike traditional methods, the proposed LS-SLM algorithm is identified that the modularity is increased by 12.65%, NMI increased by 2.31%, betweenness centrality by 3.18% and F-Score by 4.05%. The SLM algorithm outperforms existing methods in finding significant and well-defined communities, making it a promising community detection breakthrough.

Paradigm Of New Institutional Administrations in The Governance and Institutionalization of Marine Tourism in Payangan, Indonesia

Marine tourism management is not just a matter of governance per se, institutional factors also seem to have an influence, especially in traditional marine tourism management, such as in Payangan. To understand the relationship between governance and institutions in marine tourism management in Payangan, this study aims to analyze the problems in governance and institutions in Payangan, as well as to develop a conceptual model design. The method used in this research is a qualitative method with the Soft System Methodology (SSM) approach as a systemic approach to solve complex governance and institutional problems in Payangan through a series of stages. The research results indicate that the dominant problem situation in Payangan is not in its governance, but rather in its institutions, particularly in accommodating the values of the local community that have long been neglected, as they are monopolized by certain small community groups and elements of the Sumberejo Village Government who are only seeking economic gain. The monopolies of certain parties have caused the governance and institutionalization of marine tourism in Payangan to not function properly, requiring a new conceptual model of governance and institutions based on the construction of reality, social networks, and path-dependent development within the realm of the science of administration, or New Institutional Administrations (NIA), as a development and critique of the first-level institution or embeddedness proposed by Williamson, which has economic dimensions or New Institutional Economics (NIE).

Construction of implicit social network and recommendation between users and items via the ISR-RRM algorithm

To alleviate the challenges posed by privacy protection, sparse data, cold-start problem and weak interpretation, in this paper, we investigate how to uncover the implicit “social relationships” for user/item pairs and create recommendation relationships between users and items in the recommendation systems with no explicit trust relationships. Firstly, according to complex network theory, a recommendation system is presented by a heterogeneous network with five various types of subnets. Secondly, a novel algorithm ISimRank-ISR is designed based on the improved SimRank similarity index, which mainly integrates common and non-common behavior information, as well as attribute information for exploring the implicit social relations, and generates two types of social subnets. Further, introducing these implicit social relations into the nonnegative matrix factorization (NMF) model, another novel algorithm INMF-RRM is proposed to reconstruct the user-item rating subnet. Then, the integration of the above two algorithms derives an algorithm ISR-RRM to create recommendation relationships for the recommendation task. Finally, numerical experiments on two Movielens datasets are conducted to verify the feasibility and effectiveness of the three new algorithms mentioned above, and we come to the following conclusions. (1) The ISimRank-ISR algorithm provides an in-depth exploration of the implicit social relationships for user/item pairs. (2) The INMF-RRM algorithm has convergence properties. (3) To perform better and obtain more accurate recommendations, with the ISR-RRM algorithm, there are optimal parameters achieved. (4) Compared with the other seven benchmark algorithms, the ISR-RRM algorithm shows excellent performance, and its RMSE and MAE are reduced by a maximum of 14.75% and 8.05%, respectively. Additionally, it is more effective in alleviating the cold-start problem.

The Scalpel and the Ledger: Finance, Medicine and the Making of a Professional Life in Ireland, India and Britain, 1888–1921

By the time of his death in September 1921, Peter Johnstone Freyer was an extremely wealthy man. After an education at Queen's College Galway, his medical career had been defined by colonial service in India, and the establishment of a successful surgery and consultancy on London's Harley Street. In public, these hallmarks of his career led to him being described by his contemporaries as amongst medicine's most prominent figures, and as a ‘great surgeon’ by newspapers the length of and breadth of the United Kingdom on the occasion of his death. However, his private papers show that his medical practice was only responsible for a small part of his material success; two-thirds of his wealth was derived from his skill, exercised in private, as an investor in financial markets. By establishing his history as an investor, and comparing it to his public profile in medicine, this article traces the social and cultural histories of professional identity in late-Victorian and Edwardian London. Over the course of its arc, it demonstrates how medicine's public significance in this period was part of a broader, middle-class, professional culture concerned with the accrual of ‘virtual’ wealth, the construction of advantageous social networks, and the tapping of capital in multiple forms. In sum, Freyer's career reflects the symbolic meaning of publicly wielding a scalpel, whilst privately managing a portfolio of financial ledgers.

Grassroots autonomous organizations embedding, non-agricultural employment and farmer homestead withdrawal behavior: based on the research data of Qionglai City, Sichuan Province, China.

In the context of the rapid rise of the village revitalization in China, the study examines the impact of grassroots autonomous organizations embedding level and farmer non-agriculture employment on the farmer homestead exit behavior. Based on 421 household surveys in Qionglai, this study obtained three results through empirical analysis. (1) The system embedding level of grassroots autonomous organization and the interests embedding level of grassroots autonomous organization have a significant positive impact on the farmer homestead withdrawal behavior, but the emotion embedding level of grassroots autonomous organizations has a significant negative impact on the farmer homestead withdrawal behavior. (2) The farmer non-agriculture employment level is beneficial for the farmer homestead exit behavior. (3) Further mechanism analysis shows that the non-agricultural employment level plays an inhibitory role in the positive influence of grassroots organizations to mobilize farmers to exit homestead. Therefore, it is suggested that when mobilizing farmers to voluntarily withdraw from the homestead, grassroots organizations should actively improve their embedding level, improve the construction of farmers' social network, and accelerate the accumulation of farmers' material capital.

Identification of Components Associated with the Operation of Mutual Aid Groups: A Scoping Review

This research aims to identify the components associated with the benefits of Mutual Aid Groups (mags). Although they have been singled out by the evidence, specific information on their nuclear components is lacking. Based on the methodological approach of Arksey and O’Malley and the Joanna Briggs Institute, all research studies (Pubmed, Scopus, Scielo, Embase, and Redalyc) and gray literature examining these groups were included. The search was carried out throughout 2022 with the following codes: mutual aid groups; self-help groups. We reviewed 62 papers and 37 were included from a total of 2064 articles. The study shows that the components associated with beneficial results are: active agency, coping strategies, recognition, management of emotions, problem-solving strategies, supportive interaction, trust, self-identity construction, and strengthening of social networks. Thus, it reaffirms that mags are an effective option to address health problems. The application of these components could also contribute to achieve these benefits.

The mediator's role of communication skills in the effect of social skills on digital game addiction

This study aimed to investigate the mediating role of communication skills, which has a decisive role in people's healthy interaction with others, between social skills that enable the construction of social networks and digital game addiction. The study was conducted as a relational survey quantitative research model. A total of 474 university students, 232 of whom were female and 242 were male, comprised the participants of the study. The Social Skills Scale, the Communication Skills Scale, and the Digital Game Addiction Scales were used in this research. The data were analyzed using the AMOS-23 program. Results of the analysis showed that social and communication skills were strongly negatively related to digital game addiction, while communication skills were a solid mediator between social skills and digital game addiction. When the results are evaluated holistically, it is thought that digital games are an important escape area for individuals with low social and communication skills.

Modal Sosial Dalam Manajemen BUMdes; Konsep, Antesenden dan Konsekuensi

Social capital is a concept that is still relevant and contextual in responding to the socio-economic dynamics that live and develop in society. The essence of the concept of social capital is the construction of beliefs, norms, and social networks, whose dimensions are cognitive, structural, and relational. The purpose of this article is to examine the concept of social capital from the aspects of ontology, epistemology, and axiology. To support this research, a literature review is used as a methodology, explaining the emergence of the concept of social capital, further developing the theory of social capital, and reviewing the results of previous studies. The purpose of this study is to provide a more comprehensive picture of the concept of social capital that can be used in the context of managing Village Owned Enterprises (BUMDes), taking into account its antecedents and consequences to provide research material on the relationship of social capital in BUMDes management.

Exploiting social graph networks for emotion prediction

Emotion prediction plays an essential role in mental healthcare and emotion-aware computing. The complex nature of emotion resulting from its dependency on a person’s physiological health, mental state, and his surroundings makes its prediction a challenging task. In this work, we utilize mobile sensing data to predict self-reported happiness and stress levels. In addition to a person’s physiology, we also incorporate the environment’s impact through weather and social network. To this end, we leverage phone data to construct social networks and develop a machine learning architecture that aggregates information from multiple users of the graph network and integrates it with the temporal dynamics of data to predict emotion for all users. The construction of social networks does not incur additional costs in terms of ecological momentary assessments or data collection from users and does not raise privacy concerns. We propose an architecture that automates the integration of the user’s social network in affect prediction and is capable of dealing with the dynamic distribution of real-life social networks, making it scalable to large-scale networks. The extensive evaluation highlights the prediction performance improvement provided by the integration of social networks. We further investigate the impact of graph topology on the model’s performance.

How Welfare Worked in the Early United States: Five Microhistories by Gabriel J. Loiacono

Reviewed by: How Welfare Worked in the Early United States: Five Microhistories by Gabriel J. Loiacono Kristin O'Brassill-Kulfan (bio) Poor relief, Welfare, Poverty, Early U.S. history, Local government How Welfare Worked in the Early United States: Five Microhistories. By Gabriel J. Loiacono. (New York: Oxford University Press, 2021. Pp. 248. Paper, $35.00.) How Welfare Worked in the Early United States explores the lives of five people connected to the poor-relief system of early-republic Rhode Island. In clear, accessible prose, Loiacono assumes the posture of a fly on the wall in council meetings, along small-town sidewalks, and as working-class people interacted with agents of the local government. Using a truly remarkable, and remarkably comprehensive, set of town, county, and state records, he contextualizes the experiences of individuals within a Janus-faced apparatus that was designed to serve one half of the population of a town while expelling the other. In following the lives of William Larned (an overseer of the poor), Cuff Roberts (a free Black Revolutionary War veteran), "One-Eyed Sarah" (a home nurse), Lydia Bates (a laborer caught up in a bastardy case), and William Fales (a literate and ill poorhouse resident) as they intersected with the early American welfare system, Loiacono demonstrates how this system relied on an uneasy balance between the humanitarian desire to provide relief for the needy and the political–economic desire to keep taxes low for those who paid them. They were often merciful toward those with legal settlement, regularly providing real survival assistance in dire cases, and offering stopgap measure that prevented others from following that path. And they were exclusionary and tight-fisted with those who they deemed to be strangers, warning out people who lacked legal settlement in that community. Loiacono argues, carefully amassing his evidence brick by brick, that agents of local government wielded an enormous amount of power in early American communities. This power stretched, effectively, from one's crib, to their wallet, to the sidewalk, to the bedroom, and the grave. While historians have generally tried to explain the structure and implementation of the poor-relief systems in early America as pursuits of either social control or economic control, Loiacono takes a both/and stance. He argues that the police power of the overseers of the poor, derived from the poor law, was marshaled through what was essentially social control, though this occurred largely in service of economic ends. Unique to this study is the close look at the figures who moved within the orbit of the welfare system but whose roles were much murkier than [End Page 171] those providing or receiving relief, such as the people who worked as a nineteenth-century version of home health-care workers, and "hired hands." While the "overseers, literally, oversaw this work," it was "paid women" who "did the work" (118). Loiacono reminds us of the fluidity of early American class status; that nearly all workers bobbed on a mercurial sea, riding waves of illness and national economic crises as best they could. There was very little distinction, on paper, between the socioeconomic status of many overseers and those who helped them carry out their work, and those who received poor relief. The micro-historical nature of this study shows how the welfare system and local government functioned, as that function might have been perceived on the ground. William Larned, overseer of the poor for Providence, Rhode Island, served in this role for several decades, so long that he is in the position of recognizing the faces of people who were warned out and later returned. It is this provincial level of the story that is especially telling, then, when we see how this individual and others in similar roles used their positions and the structures in which they worked to warn out their neighbors. Larned and another Providence overseer, in 1806, used the poor laws to excommunicate dozens of Black people from Providence, leading to mass banishments that marked the experience of Black New Englanders in the period. The construction and destruction of families and social networks is one interesting thread throughout the book. As Loiacono writes, "the poor laws prompted...

Relationship between social network and individual performance of core members from aged care services social organizations: cross-sectional study

BackgroundThe social network of core members can affect the performance of the organization, while there is a lack of research on the relationship between the social network of core members of social organizations and individual performance in the field of aged care services. This study aimed to explore the relationship between social network and individual performance of core members from social organizations engaged in aged care services and explore measures to promote the development of aged care services.MethodsWe used a multi-stage stratified sampling method to conduct a cross-sectional study and collected the required data in six cities in Anhui Province, China. Univariate analysis and binary logistic regression were used to estimate the relationship between social network and individual performance.ResultsOur results indicated that core members with higher social network scores were more likely to yield better individual performance, including receiving awards or recognitions related to aged care services (AOR=2.534; 95% CI: 1.397-4.596). Moreover, teams led by the core members were more likely to receive awards or recognitions related to aged care services (AOR=2.930; 95% CI: 1.740-4.933). The core members or the teams led by them were more likely to be reported by the media (AOR=1.748; 95% CI: 1.030-2.966) and participate in the drafting or discussion of local aged care service standards or service specifications (AOR=2.088; 95% CI: 1.093-3.911). In addition, demographic variables such as gender, marital status, and education of core members were significantly related to their performance (P<0.05).ConclusionsThe social network of core members of aged care service social organizations has an impact on their individual performance. To improve the performance of the core members of senior citizens services and organizations, relevant measures should be taken from the government, social organizations and core members to strengthen the social network construction of core members.

The Influence of Organizational Social Network on Enterprise Collaborative Innovation—Mediating Role of Knowledge Sharing and Moderating Effect of Digital Construction

This paper mainly discusses the influence of organizational social network on enterprise collaborative innovation, as well as the intermediary role of knowledge sharing and the regulatory role of digital construction. Based on social exchange theory and social cognition theory, an integration model of organizational social network influencing enterprise collaborative innovation is constructed. The hierarchical regression analysis was used to sample the high-tech enterprises in China’s Yangtze River Delta. Statistical analysis of 212 questionnaires was performed using SPSS and AMOS. It is found that organizational social network has a significant positive impact on enterprise collaborative innovation. Knowledge sharing plays a partially mediating role in the relationship between the organizational social network and enterprise collaborative innovation. Digital construction positively moderates the relationship between organizational social network and enterprise collaborative innovation. In general, In general, the research findings show that improving the construction of organizational social networks and enhancing employees’ knowledge sharing behavior can improve enterprises’ collaborative innovation ability. In addition, in the context of highly digital construction, the effect of organizational social networks on improving enterprise collaborative innovation is more obvious.

An AI-enabled approach for improving advertising identification and promotion in social networks

The rapid development of the social economy has considerably impacted the traditional advertising industry. In terms of identifying and recommending advertisements, improving the accuracy of advertisement promotion and identification is an urgent need. Artificial intelligence (AI) methods are of practical application to facilitate digital transformation in the advertising industry. Among the many AI methods, the network model based on the genetic algorithm back propagation (GABP) neural network is the most compatible with applications in the advertising industry. In this work, the GABP neural network is applied in the construction of social networks to predict the click-through rate (CTR) of website advertising applications through the optimization of advertising promotion strategies. In the processes of optimizing and improving the system model using AI methods, the technological focus is the accuracy of advertising promotion and identification for the developing advertising industry. First, background information on the era of internet and AI development is analyzed. The new media technology is discussed through AI research and traditional advertising industry literature. In addition, a CTR prediction model is created for advertising applications based on the GABP network. In the neural network improvement process, the performance of GABP is enhanced through multiple iterations by optimizing the application strategy of advertising scenarios according to the topology of network connections. The study results demonstrate that different algorithms' recognition accuracy and precision show an increasing trend as the number of model iterations increases. The recognition accuracy of GABP increases from 49 % to 72 %, and the recognition precision of the algorithm increases from 69 % to 86 %. In addition, the area under the curve (AUC) value of the GABP network is only 0.6 before the number of neurons increases. When the number of neurons is 400, the AUC value of the algorithm reaches 0.82, and the comprehensive diagnostic value of the system dramatically improves. This research has significant reference value for reforming the traditional advertising work mode, enhancing intellectual development and promoting resource efficiency in the advertising industry.

Are Socialized Services of Agricultural Green Production Conducive to the Reduction in Fertilizer Input? Empirical Evidence from Rural China.

Reducing the use of chemical fertilizers in agricultural production is an inevitable requirement for achieving carbon neutrality and coping with global warming, and it is also an important measure for achieving green and sustainable agricultural development. Furthermore, the development of socialized services of green production provides a new approach to effectively reducing the use of fertilizers. Based on the survey data of 2202 rice growers in Jiangsu Province in 2021, this paper empirically analyzed the effects of socialized services of green production and social network on the reduction in fertilizer application by farmers. The results showed that both the socialized services of green production and social networks could significantly promote the reduction in fertilizer application by farmers. Social networks have a moderating effect between socialized services of green production and reduction in fertilizer application and can enhance the promotion of farmers' adoption of socialized services of green production to reduce the application of fertilizers. With consideration of the potential endogenous problems of the model and the robustness test by replacing the key explanatory variables and the explained variables, all of the results were stable. Therefore, it is emphasized that the government should cultivate the main body of agricultural socialized services, improve the socialized service system of green production, and promote the green development of agriculture by service scale operation. Equally, it is necessary to strengthen the construction of rural social networks for the exchange of fertilization experience and give full play to the positive role of social networks in the reduction in fertilizer application by farmers.

Research on Competition and Cooperation Relationship of TV-Drama Production Company Based on Social Network.

The social network is affecting the connection of TV-drama production companies, and traditional partnerships are changing. Many companies are moving from traditional connections to gridded social networks. The changing relational network makes the relationship between TV-drama production companies change from linear and static to network and dynamic, and from the original cooperation based on “Contract” to the node-type cooperation of “Switch.” Through empirical study, the paper found that the social network relationship in the TV series production industry has become an essential social capital because the construction of social networks will effectively promote the development of the industry under the new competition and make TV-drama industry production chain, creative resources, and value derived channel, resource boundary and cooperation mechanism, and market competition pattern change. Ultimately, it will reshape the subject cognition, path cognition, and power cognition in the relationship network.

Social Determination of the Health of Families from Two Neighborhoods in Medellín, Colombia.

To understand the health process, from the approach of the social determination of health in two neighborhoods in Medellín - Colombia, to contribute to the care of people, families, and collectives in their multidimensional reality. Qualitative research from the ethnographic perspective, approaching the general dimension with documentary analysis of social policies and community documents, the particular dimension through focal groups and interviews to community leaders, and the singular dimension with the family visit. Families and collectives live within a sociocultural setting of resistance, overshadowed by moments of flight and displacement derived from violence, with scant participation in city plans and programs and with structural problems of economic and political exclusion. They constructed the territory as space and shelter in the weave that protects and violates them, with processes from uprooting to rooting. The families have maintained protective processes, like family participation in decision making, knowledge on health care, among others, and destructive processes, like informal labor and job instability, without spaces for recreation and with limitations in transportation, in access to health programs and in obtaining food. The health of the families has been determined by historical exclusion to work to obtain resources for a minimum vital subsistence, which is why they suffer social vulnerability due to few opportunities for development; they have lived a transformation process of the territory with resistance, solidarity, and construction of social networks.