scholarly journals Extracting Medical Insights and Policy Implications to Manage Irritable Bowel Syndrome from Online Posts of Adolescents and Parents (Preprint)

2020 ◽  
Author(s):  
Bu Zhong ◽  
Qian Liu
Keyword(s):  
Irritable Bowel Syndrome ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
School Performance ◽  
Gastrointestinal Symptoms ◽  
Policy Implications ◽  
Childhood And Adolescence ◽  
Interaction Patterns ◽  
Irritable Bowel

BACKGROUND The existing research on adolescents’ irritable bowel syndrome (IBS) is helpful towards understanding the pathophysiology of the disease, and the etiology of abdominal functional pain, food induced gastrointestinal symptoms, and other dietary consequences. But not much is known about complications that arise from the symptoms and everyday management of IBS among childhood and adolescence. OBJECTIVE As adolescents with IBS are increasingly sharing information about their symptoms in online healthcare forums, this study aims to analyze their posts and those from their parents and discover medical insights that can be used by doctors, patients, and caregivers to manage IBS symptoms in adolescents. METHODS After mining the longitudinal data from IBSgroup.org, we analyzed all the posts (over 750 topics and 3400 replies) from adolescents with IBS aged 13-17 and parents having children with IBS in the IBSgroup.org forum. We first detect six main topics each for both parents’ posts and teens’ posts. Then a social network analysis was performed to gain insights on the nature of the patients’ online interaction patterns. RESULTS Both the adolescents and parents gain social support from the online platform. While parents are more anxious about the pathology of IBS, the adolescents worry more about its effect on their everyday activities and social lives. Topic modeling shows that IBS affects teens most in the areas of pain and school performance. Further, the issues raised by parents suggest that girls be bothered more by school performance over pain, while boys show exactly the opposite – pain is of greater concern than school performance. CONCLUSIONS The study is the first attempt to leverage machine learning approaches and social network analysis to find top IBS concerns from the perspectives of children, adolescents and caregivers. Adolescents with IBS suffer physical pain and are deeply disturbed by social influences and anxiety due to the symptoms. Boys and girls are affected differently by pain and school performance, whose views on the effects differ from parents’.

New Technologies, New Horizons

2011 ◽  
pp. 23-41
Author(s):  
Hiller A. Spires ◽  
Meixun Zheng ◽  
Manning Pruden
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Graduate Students ◽  
Network Analysis ◽  
New Technologies ◽  
Interaction Patterns ◽  
Teaching With Technology ◽  
Graduate Course ◽  
Pedagogical Content ◽  
New Horizons

The purpose of this chapter is to present graduate students’ views of their Technological Pedagogical Content Knowledge (TPACK) development. These graduate students are also teachers. Data was collected using a mixed method approach founded on the TPACK Framework and social network analysis. Koehler and Mishra (2006) claim that effective teaching with technology requires TPACK, or an ability to integrate content, pedagogy and technology flexibly during the act of teaching. As part of a graduate course on new literacies and media, participants were required to design and implement lessons that incorporated a range of technologies, produce written reflections about their experiences, and engage in online interactions with participants in the class. Qualitative results from participants’ written reflections revealed four themes relative to TPACK. Additionally, a social network analysis demonstrated a positive relationship between participants’ views on their TPACK development and their interaction patterns within the online learning environment. This study shows that the TPACK framework can be a useful tool, giving educators a productive way to think about technology integration as they navigate the rapid changes prompted by emerging technologies.

scholarly journals Characterizing Stakeholders of Aging-in-Place through Social Network Analysis: A Study of Nanjing, China

2019 ◽  
Vol 11 (23) ◽  
pp. 6722
Author(s):  
Shenghua Zhou ◽  
S. Thomas Ng ◽  
Dezhi Li ◽  
Jiankun Zhang ◽  
Jie Fan ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Wide Spectrum ◽  
Aging In Place ◽  
Policy Implications ◽  
Third Party ◽  
Pilot Programs ◽  
Excess Power ◽  
High Level

China currently has an elderly population of 249 million with over 97% of them ending up aging in place. Although various regional pilot programs have been conducted, a sustainable aging-in-place system has not been established to effectively and efficiently provide aging services in many cities of China. The characteristics of stakeholder networks in the aging-in-place systems have not attracted great attention from researchers. This research applies social network analysis to characterize the interactions of stakeholders in aging-in-place systems to facilitate cooperation and coordination amongst them. Using Nanjing as a case study, 23 stakeholders in Nanjing’s aging-in-place system are identified, such as the Aging Affairs Committee, Aging-in-Place Service Association, and aging-in-place service centers; and then the relationship networks of these stakeholders in terms of communication, supervision, and trust are developed and analyzed. The results show that the aging-in-place system suffers from certain defects, including the loose connection of government departments, redundant information channels, low trustworthiness of certain aging-in-place service centers, poor credibility of third-party training and assessment institutions, and excess power of the industry association. To tackle these issues, a wide spectrum of actionable measures applicable to Nanjing’s conditions, as well as high-level policy implications for other cities of China, are proposed for augmenting the communication, supervision, and trust among stakeholder groups.

Inter-provincial correlations of agricultural GHG emissions in China based on social network analysis methods

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiansheng Qu ◽  
Jinyu Han ◽  
Lina Liu ◽  
Li Xu ◽  
Hengji Li ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Temporal Trends ◽  
Ghg Emissions ◽  
Policy Implications ◽  
Content Type ◽  
Ghg Reduction ◽  
And Cluster Analysis ◽  
Practical Implications

PurposeThe purpose of this paper is to explore the heterogeneity and correlations of agricultural greenhouse gas (GHG) emissions among provinces in China, and then policy implications are proposed.Design/methodology/approachAfter agricultural GHG accounting and a pre-analysis of inter-provincial heterogeneity, improved gravity model and the Social Network Analysis (SNA) methods are introduced to construct the network, being carried out from three aspects of the whole network, individual provincial characteristics and cluster analysis.Findings(1) There are significant regional variations in agricultural GHG scale among provinces owing to the layout of agricultural production, and the temporal trends show that the direction and speed of agricultural GHG scale change vary among provinces; (2) In terms of inter-provincial correlations, there exists a complex spatial network of agricultural GHG among provinces, which tends to be more complex, intensive and stable, while the status of the provinces in the network also has gradually become more balanced. All provinces played their respective roles in the four clusters of the network with agricultural layout and comparative advantages, and the distribution has continuously optimized.Practical implicationsThe inter-provincial network characteristics of agricultural GHG emissions and its evolution have practical implications for differentiated and coordinated agricultural GHG reduction policies at the provincial levels.Originality/valueThis paper innovatively study inter-provincial agricultural GHG correlations in China with the SNA methods used to study economic and social connections in the past. There is some originality in the introduction of network theory and application of the SNA methods, which can provide some reference for researches in similar fields.

scholarly journals Social Network Analysis to Examine Interaction Patterns in Knowledge Building Communities

2010 ◽  
Vol 36 (1) ◽  
Author(s):  
Donald N. Philip
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Building ◽  
Group Processes ◽  
Interaction Patterns ◽  
Face To Face ◽  
Grade 5 ◽  
Teachers And Students ◽  
Building Community

This paper describes use of social network analysis to examine student interaction patterns in a Grade 5/6 Knowledge Building class. The analysis included face-to-face interactions and interactions in the Knowledge Forum® Knowledge Building environment. It is argued that sociogram data are useful to reveal group processes; in sociological terms, the community lies in the connections among the group. A classroom of unconnected individuals is unlikely to form as a Knowledge Building community; data analyses reported in this study show promise in understanding the dynamics of Knowledge Building in a consistent and measurable way. The strength of the work is not in particular patterns demonstrated but in new forms of assessment and their potential to inform work as it proceeds. The research reported shows that teachers and students are finding social network analysis useful and that through their engagement research-practitioner-engineer teams are better positioned to develop tools to advance Knowledge Building pedagogy.

scholarly journals Passing Network Analysis of Positional Attack Formations in Handball

2019 ◽  
Vol 70 (1) ◽  
pp. 209-221 ◽  
Author(s):  
Florian Korte ◽  
Martin Lames
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Suitable Method ◽  
Interaction Patterns ◽  
Optimal Position ◽  
Key Players ◽  
Sport Teams ◽  
The Individual ◽  
General Balance

Abstract The aim of this study was to characterize handball from a social network analysis perspective by analyzing 22 professional matches from the 2018 European Men's Handball Championship. Social network analysis has proven successful in the study of sports dynamics to investigate the interaction patterns of sport teams and the individual involvement of players. In handball, passing is crucial to establish an optimal position for throwing the ball into the goal of the opponent team. Moreover, different tactical formations are played during a game, often induced by two-minute suspensions or the addition of an offensive player replacing the goalkeeper as allowed by the International Handball Federation since 2016. Therefore, studying the interaction patterns of handball teams considering the different playing positions under various attack formations contributes to the tactical understanding of the sport. Degree and flow centrality as well as density and centralization values were computed. As a result, quantification of the contribution of individual players to the overall organization was achieved alongside the general balance in interplay. We identified the backcourt as the key players to structure interplay across tactical formations. While attack units without a goalkeeper were played longer, they were either more intensively structured around back positions (7 vs. 6) or spread out (5 + 1 vs. 6). We also found significant differences in the involvement of wing players across formations. The additional pivot in the 7 vs. 6 formation was mostly used to create space for back players and was less involved in interplay. Social network analysis turned out as a suitable method to govern and quantify team dynamics in handball.

scholarly journals Epidemics and Networks: A Social Network Analysis of the Spread of COVID-19 in South Korea and Policy Implications

2020 ◽  
Author(s):  
Wonkwang Jo ◽  
Dukjin Chang ◽  
Myoungsoon You ◽  
Ghi-Hoon Ghim
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Metropolitan Areas ◽  
Structural Characteristics ◽  
Skewed Distribution ◽  
Policy Implications ◽  
Contact Tracing ◽  
Network Data ◽  
Network Change

Abstract This study estimates the COVID-19 infection network from actual data and draws on implications for policy and research. Using contact tracing information of 3,283 confirmed patients in Seoul metropolitan areas from Jan 20 to July 19, 2020, this study creates an infection network and analyzes its structural characteristics. The main results are as follows: (1) out-degrees follow an extremely positively skewed distribution, and (2) removing the top nodes on the out-degree significantly decreases the size of the infection network. (3) The indicators, which express the infectious power of the network, change according to governmental measures. Efforts to collect network data and analyze network structures are urgently required for the efficiency of governmental responses to COVID-19. Implications for better use of a metric such as R0 to estimate infection spread are also discussed.

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