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Results for “social network analysis”

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PubMed1999

[Factors relate to participation in medical checkups in a rural community an analysis including social network scores].

Since 1969, community-based stroke prevention programs have been conducted in N town, Kochi prefecture. To clarify factors related to participation in medical checkups including social networks, a cross-sectional questionnaire survey was performed on 6,704 residents aged 40 and over in N town in 1996. 1. Location of the workplace, types of medical insurance and interest in health were significantly associated with participation in medical checkups. 2. Participation in medical examinations provided at the workplace was significantly, inversely related with participation rates in community checkups in the group aged 40 to 59 years. 3. Low independence level in daily activities was inversely associated with participation rates for medical checkups in groups aged 60 years and older. 4. Visiting medical facilities was inversely associated with the participation rate for medical checkups in female groups. 5. The group with the highest social networks score (5 points) had the highest participation rate for medical checkups. After adjusting for other participation related factors, social networks scores had a significantly positive association with the participation rate for medical checkups provided by the Health Services for the Elderly Act.

Adult↗

PubMed1988

[The social network--on a sociologic concept in psychiatry].

For quite some time has been a boom of social network analysis in the field of social psychiatry in Western industrial countries. Their main hypothesis is that the scope and quality of a person's social relations have a specific connection with this person's psychic health. This article exemplifies some specialized studies on the subject. In spite of the fact that the way in which the concept of social networks was applied has been criticized for being empiristic and reductionist, the author stresses its potential for socio-psychiatric research and practice and pleads for its application in the G.D.R.

Adaptation, Psychological↗

PubMed1992

Network range and health.

The inclusion of network concepts in the stress-distress model of health represents a major theoretical advance. Most researchers use the dyadic approach of social network analysis to construct network measures of social support. Working from the argument that network structure and social support are conceptually and empirically distinct, we extend the stress-distress model to include measures of network structure (network range) as predictors of exposure to stress, access to social support, and distress. We find that the density, diversity, and size dimensions of network range affect exposure to stress, access to social support, and distress differentially and that, in each case, their effects are gender-specific.

Adaptation, Psychological↗

PubMedDate not supplied

Event Analysis of Systemic Teamwork (EAST): a novel integration of ergonomics methods to analyse C4i activity.

C4i is defined as the management infrastructure needed for the execution of a common goal supported by multiple agents in multiple locations and technology. In order to extract data from complex and diverse C4i scenarios a descriptive methodology called Event Analysis for Systemic Teamwork (EAST) has been developed. With over 90 existing ergonomics methodologies already available, the approach taken was to integrate a hierarchical task analysis, a coordination demand analysis, a communications usage diagram, a social network analysis, and the critical decision method. The outputs of these methods provide two summary representations in the form of an enhanced operation sequence diagram and a propositional network. These offer multiple overlapping perspectives on key descriptive constructs including who the agents are in a scenario, when tasks occur, where agents are located, how agents collaborate and communicate, what information is used, and what knowledge is shared. The application of these methods to live data drawn from the UK rail industry demonstrates how alternative scenarios can be compared on key metrics, how multiple perspectives on the same data can be taken, and what further detailed insights can be extracted. The ultimate aim of EAST is, by applying it across a number of scenarios in different civil and military domains, to provide data to develop generic models of C4i activity and to improve the design of systems aimed at enhancing this management infrastructure.

Communication↗

PubMed2006

How do forensic scientists learn to become competent in casework reporting in practice: a theoretical and empirical approach.

In their day-to-day work, carrying out complex tasks, forensic scientists use a combination of explicit, codified standard operating procedures and tacit knowledge developed through their ongoing practice. We show that tacit knowledge is an integral part of the activities of expert forensic science practitioners who continually add to their knowledge repertoire by engaging other scientists through communities of practice. We wish to shed fresh light on the gaining of tacit knowledge by forensic scientists during their apprentice formative years, termed as legitimate peripheral participation. In quantifying tacit knowledge exchanges, we use social network analysis, a methodology for the analysis of social structures, to map relational knowledge flows between forensic scientists within communities of practice at the Forensic Science Laboratory, Ireland. This paper sheds light on the importance of tacit knowledge within the training regime of forensic scientists and its recognition as equal to the part played by explicit knowledge.

Forensic Sciences↗

PubMed2005

Graph theoretic modeling of large-scale semantic networks.

During the past several years, social network analysis methods have been used to model many complex real-world phenomena, including social networks, transportation networks, and the Internet. Graph theoretic methods, based on an elegant representation of entities and relationships, have been used in computational biology to study biological networks; however they have not yet been adopted widely by the greater informatics community. The graphs produced are generally large, sparse, and complex, and share common global topological properties. In this review of research (1998-2005) on large-scale semantic networks, we used a tailored search strategy to identify articles involving both a graph theoretic perspective and semantic information. Thirty-one relevant articles were retrieved. The majority (28, 90.3%) involved an investigation of a real-world network. These included corpora, thesauri, dictionaries, large computer programs, biological neuronal networks, word association networks, and files on the Internet. Twenty-two of the 28 (78.6%) involved a graph comprised of words or phrases. Fifteen of the 28 (53.6%) mentioned evidence of small-world characteristics in the network investigated. Eleven (39.3%) reported a scale-free topology, which tends to have a similar appearance when examined at varying scales. The results of this review indicate that networks generated from natural language have topological properties common to other natural phenomena. It has not yet been determined whether artificial human-curated terminology systems in biomedicine share these properties. Large network analysis methods have potential application in a variety of areas of informatics, such as in development of controlled vocabularies and for characterizing a given domain.

Algorithms↗

PubMed2004

Molecular epidemiology of hepatitis C virus in a social network of injection drug users.

BACKGROUND: We aimed to measure the overlap between the social networks of injection drug users (IDUs) and the patterns of related hepatitis C virus (HCV) infections among IDUs. METHODS: A cohort of 199 IDUs (138 of whom were HCV RNA positive) was recruited from a local drug scene in Melbourne, Australia, and was studied using social network analysis and molecular phylogenetic analysis of 2 regions of the HCV genome. RESULTS: Eighteen clusters of related infections involving 51 IDUs (37.0% of HCV RNA-positive IDUs) were detected; these clusters could be separated into 66 discrete pairs. Twelve (18.2%) of the 66 IDU pairs with related infections reported having previously injected drugs together; conversely, only 12 (3.8%) of the 313 pairs of HCV RNA-positive IDUs who were injection partners had strong molecular evidence of related infections. The social and genetic distances that separated IDUs with identical genotypes were weakly associated. Significant clusters of phylogenetically related sequences identified from core region analysis persisted in the analysis of the nonstructural 5a protein region. Genotyping and sequence analysis revealed 2 mixed-genotype infections. CONCLUSIONS: Static social network methods are likely to gather information about a minority of patterns of HCV transmission, because of the difficulty of determining historical infection pathways in an established social network of IDUs. Nevertheless, molecular epidemiological methods identified clusters of IDUs with related viruses and provided information about mixed-genotype infection status.

Australia↗

PubMed1990

Analysis of a double-layered support system.

This analysis focuses on the support functions of a social network consisting of the families, educational staff, and peers of 33 adolescent females. These women were lower-class school dropouts who joined the Israeli Army and--toward the end of their service--participated in a six-month intensive program of educational upgrading. The program was administered by the Israeli Army and operated by female soldiers close in age, but not in social background and education, to the program's participants. Data were collected by a semi-structured interview and analyzed in terms of the emotional, cognitive, and behavioral support functions of the social network. Analysis shows that (1) whereas the educational staff and the peers provide the young women with all three types of support, their parents' is limited to some aspects of emotional support, and is conditional (to success); (2) the educational staff also induced the peers to act as supporters; and (3) as a result, the participants had access to a "double layer" of emotional, cognitive, and behavioral support, and benefited from being both recipients and providers of support, in the coping-enhancing conditions of sociocultural and situational similarity.

Adolescent↗

PubMed2026

Malaria Risk among Internally Mobile Individuals and Heterogeneous Mobility Patterns in Two Hypoendemic Communities: Implications for Malaria Elimination in the Peruvian Amazon.

BACKGROUND: Human mobility is increasingly recognized as a key factor influencing malaria transmission dynamics, particularly in low-transmission settings approaching elimination. This study aimed to assess mobility patterns and their association with malaria risk in two hypoendemic communities in the Peruvian Amazon. METHOD: A longitudinal study was conducted in the communities of Libertad and Urcomiraño (Mazán River basin). Monthly population screenings were combined with weekly active and passive case detection. A total of 678 individuals were enrolled. Mobility patterns were assessed through structured questionnaires, and social network analysis was used to characterize travel connections. Log-binomial regression analysis was applied to identify risk factors associated with malaria infection. RESULT: Internally, mobile individuals in Libertad showed a higher malaria incidence (>32.47 cases per 1,000 person-months) than those in Urcomiraño (<10.15 cases per 1,000 person-months). Travel networks were mainly connected to Mazan district and Iquitos city, followed by local streams such as Armas and Arahuana. Mobility was primarily driven by family, administrative and occupational activities. Male sex (PR = 2.15, 95% CI: 1.37 - 3.37) and age ≥15 years (PR = 1.98, 95% CI: 1.24 - 3.19) were significantly associated with malaria infection (p-value < 0.05). CONCLUSION: Internally mobile populations represent a key high-risk group sustaining malaria transmission in hypoendemic settings. Targeted interventions focusing on mobile individuals should be integrated into malaria elimination strategies in the Peruvian Amazon and similar endemic regions.

Malaria elimination↗

PubMed1988

[Social networks and mental disease].

This is a three-purpose study: (a) Furthering a definition of social network analysis since such a theoretical and methodological approach is of great interest to studying social interaction, (b) Analyzing the social networks within one psychiatric case study in order to build up a network interaction model aiming at fostering future research, this interaction model being used as a concept framework, and (c) Discussing how fruitful research on social networks can prove to be in connection with the treatment of the mentally ill, as well as considering the protective and supportive functions of these networks.

Humans↗

PubMed2004

Using social networks to understand and prevent substance use: a transdisciplinary perspective.

We review findings from research on smoking, alcohol, and other drug use, which show that the network approaCh is instructive for understanding social influences on substance use. A hypothetical network is used throughout to illustrate different network findings and provide a short glossary of terms. We then describe how network analysis can be used to design more effective prevention programs and to monitor and evaluate these programs. The article closes with a discussion of the inherent transdisciplinarity of social network analysis.

Biomedical Research↗

PubMed2003

Influence of information sources on the adoption of uterine fibroid embolization by interventional radiologists.

OBJECTIVES: The purpose of the research was to (1) understand the influence of information sources on the awareness and adoption of uterine fibroid embolization (UFE) by interventional radiologists in Michigan and (2) to decipher communication relations in the social network of interventional radiologists that were most conducive to the flow of information about UFE. METHODS: Diffusion of innovations theory and constructs in social network analysis formed the basis for the development of an interview guide. Thirty-two interventional radiologists in Michigan were interviewed over the phone. Chi-square statistics were employed to analyze the awareness and adoption of UFE. Factor analysis was applied to decipher important communication relations in the social network of interventional radiologists. RESULTS: Conferences were found to be an initial source of information, creating awareness among early adopters (P < 0.05), but other individuals were found to be influential sources in the adoption of UFE by later adopters (P < 0.05). Radiologists rarely browsed Websites for information. Work relations in everyday clinical practice were the communication relations most conducive to the flow of information about UFE. Preliminary qualitative data indicated that opinion leaders in the diffusion of UFE in Michigan were located in hospitals primarily dedicated to practice rather than in hospitals affiliated with universities. CONCLUSIONS: Journals are important information sources for creating awareness and stimulating adoption of innovation among both early and late adopters of new procedures in interventional radiology. Conferences, however, are significantly more important for creating early awareness, while interactions with colleagues is the most important factor in stimulating use of the innovation among later adopters. Among colleagues, opinion leaders in nonacademic hospitals may be more influential than individuals in the academic community.

Adult↗

PubMed1996

Personal risk taking and the spread of disease: beyond core groups.

Disease control efforts directed at human immunodeficiency virus are predicated on the need to reduce personal risk behaviors; that approach may not adequately reflect the complicated interplay between personal behaviors and the social setting in which they occur. Efforts to date, including the application of population ecology, the development of the core group hypothesis, and the use of compartment models to describe disease transmission, have aided in understanding the dynamics of transmission and have highlighted the relationship between personal risk taking and population risk. An area for further development is the application of the techniques of social network analysis to infectious disease spread. Initial work suggests that social structure may act as a barrier (or facilitator) in disease transmission and that the epidemiologic impact of a risky act varies with the social setting. The local context for risk behaviors has important implications for the dynamics of transmission.

HIV Infections↗

PubMed2003

Sexual networks: implications for the transmission of sexually transmitted infections.

The structures of sexual networks are essential for understanding the dynamics of sexually transmitted infections. Standard epidemiological models largely disregard the complex patterns of intimate contacts. Social network analysis offers important insight into how to conceptualize and model social interaction and has the potential to greatly enhance the understanding of disease epidemics.

Contact Tracing↗

PubMed1990

Social networks and health: impact on returning home after entry into residential care homes.

This research extends the study of social network analysis and labeling theories into the context of residential care homes (RCHs). Findings suggest that: (1) when members of intense social networks decide to move elderly persons into RCHs, placement is truly needed and (2) although the likelihood of returning home from RCHs is affected by sociocultural characteristics, the functional and cognitive status of the resident are of primary importance.

Aged↗

PubMed2005

Farm animal networks: unraveling the contact structure of the British sheep population.

The spatial and temporal dynamics of many farm animal diseases depend both on disease specific parameters and on the underlying contact structure between farms. Whilst many models for farm animal diseases focus on obtaining and estimating disease transmission parameters, relatively little attention has been given to modelling the underlying network of contacts. In this paper, we present an initial analysis of two relations underlying the contact network of individual sheep breeds in Great Britain. The first relation is based on geographical proximity and the second is based on attendance at agricultural shows. These relations are combined to give a risk-potential network that is based on these two levels of interaction. The structure of each network is investigated using techniques developed in graph theory and social network analysis.

Agriculture↗

PubMedDate not supplied

Balancing systematic and flexible exploration of social networks.

Social network analysis (SNA) has emerged as a powerful method for understanding the importance of relationships in networks. However, interactive exploration of networks is currently challenging because: (1) it is difficult to find patterns and comprehend the structure of networks with many nodes and links, and (2) current systems are often a medley of statistical methods and overwhelming visual output which leaves many analysts uncertain about how to explore in an orderly manner. This results in exploration that is largely opportunistic. Our contributions are techniques to help structural analysts understand social networks more effectively. We present SocialAction, a system that uses attribute ranking and coordinated views to help users systematically examine numerous SNA measures. Users can (1) flexibly iterate through visualizations of measures to gain an overview, filter nodes, and find outliers, (2) aggregate networks using link structure, find cohesive subgroups, and focus on communities of interest, and (3) untangle networks by viewing different link types separately, or find patterns across different link types using a matrix overview. For each operation, a stable node layout is maintained in the network visualization so users can make comparisons. SocialAction offers analysts a strategy beyond opportunism, as it provides systematic, yet flexible, techniques for exploring social networks.

Algorithms↗

PubMed2003

Community membership and social networks in mental health self-help agencies.

This article explores community membership among self-help agency (SHA) participants. It is suggested that SHAs foster the enhancement of peer-oriented social networks, leading to the experience of shared community. Social network analysis was used to examine the structure of support mechanisms, and to assess levels of community membership through peer inclusion. Results indicate that both individual and organizational characteristics play roles in predicting peer presence in social networks. Organizational empowerment is a key factor, with the SHA emerging as a promising locus for peer support development through enhanced social networks. Implications for the organization of consumer-based services are discussed.

Adult↗