Social network analysis for social neuroscientists.
Ontology highlight
ABSTRACT:
SUBMITTER: Baek EC
PROVIDER: S-EPMC8343567 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Social interactions between students are a major and underexplored part of undergraduate education. Understanding how learning relationships form in undergraduate classrooms, as well as the impacts these relationships have on learning outcomes, can inform educators in unique ways and improve educational reform. Social network analysis (SNA) provides the necessary tool kit for investigating questions involving relational data. We introduce basic concepts in SNA, along with methods for data collection, data processing, and data analysis, using a previously collected example study on an undergraduate biology classroom as a tutorial. We conduct descriptive analyses of the structure of the network of costudying relationships. We explore generative processes that create observed study networks between students and also test for an association between network position and success on exams. We also cover practical issues, such as the unique aspects of human subjects review for network studies. Our aims are to convince readers that using SNA in classroom environments allows rich and informative analyses to take place and to provide some initial tools for doing so, in the process inspiring future educational studies incorporating relational data.
| S-EPMC4041496 | biostudies-literature
Project description:1. Animal social networks are descriptions of social structure which, aside from their intrinsic interest for understanding sociality, can have significant bearing across many fields of biology. 2. Network analysis provides a flexible toolbox for testing a broad range of hypotheses, and for describing the social system of species or populations in a quantitative and comparable manner. However, it requires careful consideration of underlying assumptions, in particular differentiating real from observed networks and controlling for inherent biases that are common in social data. 3. We provide a practical guide for using this framework to analyse animal social systems and test hypotheses. First, we discuss key considerations when defining nodes and edges, and when designing methods for collecting data. We discuss different approaches for inferring social networks from these data and displaying them. We then provide an overview of methods for quantifying properties of nodes and networks, as well as for testing hypotheses concerning network structure and network processes. Finally, we provide information about assessing the power and accuracy of an observed network. 4. Alongside this manuscript, we provide appendices containing background information on common programming routines and worked examples of how to perform network analysis using the r programming language. 5. We conclude by discussing some of the major current challenges in social network analysis and interesting future directions. In particular, we highlight the under-exploited potential of experimental manipulations on social networks to address research questions.
| S-EPMC4973823 | biostudies-other
Project description:Framingham SHARe Social Network
| PRJNA75945 | ENA
Project description:There is currently limited research on student peer leadership in the social-emotional literature. This paper used exploratory methods of social network analysis to understand the structure of school peer relationships, peer leadership, and school climate. Self-report measures of perceptions of peer leadership and climate were given to students during the 2016-2017 school year. Data collected from a peer leadership survey were used to calculate closeness and indegree centrality values. The results showed that student Ambassadors have higher peer nominated leadership scores compared to non-Ambassador controls and the rest of the school. Additionally, Ambassadors did not demonstrate a change in centrality scores, non-Ambassador students increased in centrality scores, and school climate was not correlated with the leadership centrality score. Results suggest that influence spreads, and that good leadership may be emulated among students, leading to a diffusion effect. This supports the need for good leaders in schools. Additionally, climate may not be associated with leadership centrality scores due to the length of the intervention. Future studies should look toward behavioral data to unravel what comprises positive and negative influences in Social-Emotional and Character Development interventions.
| S-EPMC10084104 | biostudies-literature
Project description:Background and objectiveResearch collaborations in biomedical research have evolved over time. No studies have addressed research collaboration in network meta-analysis (NMA). In this study, we used social network analysis methods to characterize global collaboration patterns of published NMAs over the past decades.MethodsPubMed, EMBASE, Web of Science and the Cochrane Library were searched (at 9th July, 2015) to include systematic reviews incorporating NMA. Two reviewers independently selected studies and cross-checked the standardized data. Data was analyzed using Ucinet 6.0 and SPSS 17.0. NetDraw software was used to draw social networks.Results771 NMAs published in 336 journals from 3459 authors and 1258 institutions in 49 countries through the period 1997-2015 were included. More than three-quarters (n = 625; 81.06%) of the NMAs were published in the last 5-years. The BMJ (4.93%), Current Medical Research and Opinion (4.67%) and PLOS One (4.02%) were the journals that published the greatest number of NMAs. The UK and the USA (followed by Canada, China, the Netherlands, Italy and Germany) headed the absolute global productivity ranking in number of NMAs. The top 20 authors and institutions with the highest publication rates were identified. Overall, 43 clusters of authors (four major groups: one with 37 members, one with 12 members, one with 11 members and one with 10 members) and 21 clusters of institutions (two major groups: one with 62 members and one with 20 members) were identified. The most prolific authors were affiliated with academic institutions and private consulting firms. 181 consulting firms and pharmaceutical industries (14.39% of institutions) were involved in 199 NMAs (25.81% of total publications). Although there were increases in international and inter-institution collaborations, the research collaboration by authors, institutions and countries were still weak and most collaboration groups were small sizes.ConclusionScientific production on NMA is increasing worldwide with research leadership of Western countries (most notably, the UK, the USA and Canada). More authors, institutions and nations are becoming involved in research collaborations, but frequently with limited international collaborations.
| S-EPMC5042468 | biostudies-literature
Project description:There is currently no unique catalog of cortical GABAergic interneuron types. In 2013, we asked 48 leading neuroscientists to classify 320 interneurons by inspecting images of their morphology. That study was the first to quantify the degree of agreement among neuroscientists in morphology-based interneuron classification, showing high agreement for the chandelier and Martinotti types, yet low agreement for most of the remaining types considered. Here we present the dataset containing the classification choices by the neuroscientists according to interneuron type as well as to five prominent morphological features. These data can be used as crisp or soft training labels for learning supervised machine learning interneuron classifiers, while further analyses can try to pinpoint anatomical characteristics that make an interneuron especially difficult or especially easy to classify.
| S-EPMC6805952 | biostudies-literature
Project description:The Covid-19 pandemic has challenged public health practitioners and clinicians at multiple levels to intentionally consider the impact of social isolation on health outcomes. Many community-based programmes design interventions to address tangible challenges within the social determinants of health, such as asset insecurity or food insecurity, to address health inequities. The growing need to address social isolation within marginalised communities also requires organisations to collaborate and create community partnerships that strengthen their own social integration within the community. The present research reports on the results of a Social Network Analysis (SNA) of community programmes within three southern U.S. cities and their local collaborations to address social isolation. After interviewing representatives of 46 community organisations, it was found that social service organisations that also offer public health services play a central role in community efforts to improve social isolation. The participating organisations primarily collaborate through referrals and information sharing, and report inadequate resources. With a growing recognition that social services and supports play a considerable role in addressing health inequities, this study provides evidence of opportunities for interorganisational collaboration to promote individual and community health.
| S-EPMC10092426 | biostudies-literature
Project description:Trypophobia has attracted scientific attention in recent years. Few related studies have recruited participants using online methods, and even less is known about health communication in an environment where trypophobia was first widely discussed (i.e., the Internet). This study describes communication patterns in a Facebook group for trypophobia by detecting frequent topics, top contributors, and their discourses. We identified key commenters and performed word frequency analysis, word co-occurrence analysis, topic modeling, and content analysis. Impactful users posted and replied more often when discussing peer-reviewed science. Triggering content was actively removed by the group administrators. A wide variety of triggers not discussed in trypophobia-related literature were frequently mentioned. However, there was a lack of discussion on peer-reviewed treatments. The combination of a few expert and many supportive amateur gatekeepers willing to understand trypophobia, along with active monitoring by administrators, might contribute to in-group trust and the sharing of peer-reviewed science by top users of the trypophobia Facebook group.
| S-EPMC9729576 | biostudies-literature
Project description:It is still unclear what the optimal structure of mental health care networks should be. We examine whether certain types of network structure have been associated with improved continuity of care and greater social integration. A social network survey was carried out, covering 954 patients across 19 mental health networks in Belgium in 2014. We found continuity of care to be associated with large, centralized, and homophilous networks, whereas social integration was associated with smaller, centralized, and heterophilous networks. Two important goals of mental health service provision, continuity of care and social integration, are associated with different types of network. Further research is needed to ascertain the direction of this association.
| S-EPMC5640746 | biostudies-literature
Project description:BackgroundIn 2012 and 2013, we conducted a social network survey of a new translational research network (TRN) designed to deliver better care to cancer patients. Results of these two surveys showed that silos of researchers and clinicians existed before the TRN was established but that the network had mediated collaborative relationships. This paper reports on a third social network survey of the TRN and focusses on the structure of the collaborative arrangements among members.MethodsMembers of the TRN were invited to complete an on-line, whole network survey in May 2015. The survey asked respondents to identify personal impacts, outputs and wider outcomes attributable to their TRN membership. The final question asked respondents to select the name of TRN members with whom they had collaborated either formally or informally. For each member nominated, they were asked to say whether they had known this person before joining the TRN.ResultsResponse rate was 70 %. Over 4 years, the TRN has grown in size from 68 to 244 members. Relationships within and across the TRN have become more collaborative and interactive, with 1658 collaborative ties between members and over 40 % of ties with people unknown to participants before they joined the TRN. This points to a well-functioning network which has retained its focus on the original goals of the TRN and has fostered collaboration between researchers, clinicians, managers, consumers and TRN operational staff. This survey shows that the TRN's impact goes beyond outcomes from formal TRN-funded projects. About one third of respondents could list projects not directly funded by the TRN but which are attributed to TRN membership. Examples of practice change brought about through the TRN were given by 77 % of respondents. A substantial risk factor for the future is the high levels of dependency on key or central TRN participants.ConclusionsThe structure of the TRN with its active central actors and brokers has been able to foster collaboration on implementation initiatives that result in practice change. The role of a social professional network in driving this collaboration is shown.
| S-EPMC4750242 | biostudies-literature