scholarly journals A Snapshot of the Syrian Jihadi Online Ecology: Differential Disruption, Community Strength, and Preferred Other Platforms

2021 ◽  
pp. 1-17
Author(s):  
Maura Conway ◽  
Moign Khawaja ◽  
Suraj Lakhani ◽  
Jeremy Reffin
Keyword(s):  
Community Strength

scholarly journals Research of the Disparities in the Process of Revitalization of Brownfields in Small Towns and Cities

2021 ◽  
Vol 13 (3) ◽  
pp. 1232
Author(s):  
Natalie Szeligova ◽  
Marek Teichmann ◽  
Frantisek Kuda
Keyword(s):  
Small Towns ◽  
The Czech Republic ◽  
Essential Step ◽  
Community Strength ◽  
Population Turnover ◽  
Subsequent Application ◽  
Level Of Knowledge ◽  
The Subject ◽  
Relevant Factors

The subject of the work is the research on relevant factors influencing participation in the success of brownfield revitalization, especially in the territory of small municipalities. Research has so far dealt with the issue of determining disparities in the municipalities of the Czech Republic, not excluding small municipalities, but their subsequent application has usually been presented in larger cities. The focus on smaller municipalities or cities was usually addressed only in general. The introduction provides an overview of theoretical knowledge in the field of brownfield revitalization. Defining the level of knowledge of the monitored issues is an essential step for the purposes of more effective determination of disparities. Disparities will be determined on the basis of information on localities that have been successfully revitalized. The identified disparities are then monitored in the territory of small municipalities. For the purposes of processing, it was determined that a small municipality or city is an area with a maximum of 5000 inhabitants. Using appropriately selected statistical methods, an overview of disparities and their weights is determined, which significantly affect the success of revitalization. In small municipalities, the issue of brownfields is not emphasized but, in terms of maintaining community strength and reducing population turnover, the reuse of brownfields is a crucial theme.

“We all know each other”: A Strengths-based Approach to Understanding Social Capital in Pictou Landing First Nation

2020 ◽  
Vol 15 (1) ◽  
pp. 119-132
Author(s):  
Sharon Yeung ◽  
Heather Castleden ◽  
Pictou Landing First Nation
Keyword(s):  
Social Capital ◽  
Indigenous Peoples ◽  
Health Research ◽  
Qualitative Interviews ◽  
First Nation ◽  
Cultural Identities ◽  
Positive Health ◽  
Community Strength ◽  
Positive Health Outcomes

With over three decades of attention drawn to the health of Indigenous peoples in Canada and around the world, an outpouring of health research has been undertaken, much of which has emphasized the experience of disparity at the expense of recognizing strengths. In this case study, we challenge the damage-centred rhetoric of mainstream health research by reporting the findings of 20 qualitative interviews on community strength and health with members of Pictou Landing First Nation, a Mi’kmaw nation located in Nova Scotia, Canada. We then relate and compare these findings with the emerging conceptualization of Indigenous social capital, which is a concept that has been associated with positive health outcomes in a variety of contexts. Our findings indicate that Pictou Landing First Nation is strengthened by qualities of familiarity, reciprocity, safety, and solidarity, which are rooted in the value of family and embedded within a broader Mi’kmaw worldview. The nature of these strengths aligns in part with the concept of Indigenous social capital, which we suggest may be better harnessed to be a means for conducting strengths-based health research. To this end, our findings support the need for reworking social capital conceptualizations to more strongly centralize cultural identities and worldviews in order to authentically and comprehensively affirm Indigenous and decolonizing health research practices.

Traffic dynamics on two-layer networks with community structure

2021 ◽  
pp. 2150272
Author(s):  
Jinlong Ma ◽  
Yi Zhou ◽  
Weiheng Wang ◽  
Yongqiang Zhang ◽  
Ruimei Zhao ◽  
...  
Keyword(s):  
Community Structure ◽  
Network Model ◽  
Real World ◽  
Traffic Congestion ◽  
Network Models ◽  
Community Networks ◽  
Traffic Dynamics ◽  
Community Strength ◽  
Traffic Capacity ◽  
Simulation Results

In terms of reducing traffic congestion, it should be understood that traffic dynamics depend on network structure. Most of complex networks in the real world can be represented by multi-layer and community structures, that is, the connections within the community are relatively close, and the connections between the community are relatively sparse. There are generally strong and weak community networks in community networks. In this work, the strong and weak community networks are used to construct two-layer network models of different scales, and then the influence of community structure on traffic capacity is analyzed. The simulation results show that when the two-layer network model is composed of two strong community networks, the traffic capacity is the largest, followed by the two-layer network model composed of two weak community networks, the traffic capacity is also relatively large. When the two subnetworks are of different community strength, the traffic capacity is relatively small.

Building Complex Network Similar to Facebook

2014 ◽  
Vol 513-517 ◽  
pp. 909-913
Author(s):  
Dong Wei Guo ◽  
Xiang Yan Meng ◽  
Cai Fang Hou
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Complex Networks ◽  
Complex Network ◽  
Network Model ◽  
Clustering Coefficient ◽  
Network Characteristics ◽  
Modeling Methods ◽  
Community Strength ◽  
Strength Based

Social networks have been developed rapidly, especially for Facebook which is very popular with 10 billion users. It is a considerable significant job to build complex network similar to Facebook. There are many modeling methods of complex networks but which cant describe characteristics similar to Facebook. This paper provide a building method of complex networks with tunable clustering coefficient and community strength based on BA network model to imitate Facebook. The strategies of edge adding based on link-via-triangular, link-via-BA and link-via-type are used to build a complex network with tunable clustering coefficient and community strength. Under different parameters, statistical properties of the complex network model are analyzed. The differences and similarities are studied among complex network model proposed by this paper and real social network on Facebook. It is found that the network characteristics of the network model and real social network on Facebook are similar under some specific parameters. It is proved that the building method of complex networks is feasible.

Posttraumatic Stress Disorder and Mental Distress Following the 2004 and 2005 Florida Hurricanes

2019 ◽  
Vol 13 (1) ◽  
pp. 44-52 ◽  
Author(s):  
Carol S. Fullerton ◽  
Holly B. Herberman Mash ◽  
Leming Wang ◽  
Joshua C. Morganstein ◽  
Robert J. Ursano
Keyword(s):  
Posttraumatic Stress Disorder ◽  
Posttraumatic Stress ◽  
Collective Efficacy ◽  
Mental Distress ◽  
Stress Disorder ◽  
Health Workers ◽  
Storm Damage ◽  
Logistic Regression Models ◽  
Community Strength ◽  
Frequent Mental Distress

AbstractObjectiveCommunity characteristics, such as perceived collective efficacy, a measure of community strength, can affect mental health outcomes following disasters. We examined the association of perceived collective efficacy with posttraumatic stress disorder (PTSD) and frequent mental distress (14 or more mentally unhealthy days in the past month) following exposure to the 2004 and 2005 hurricane seasons.MethodsParticipants were 1486 Florida Department of Health workers who completed anonymous questionnaires that were distributed electronically 9 months after the 2005 hurricane season. Participant ages ranged from 20 to 79 years (mean, 48; SD, 10.7), and the majority were female (79%), white (75%), and currently married (64%). Fifty percent had a BA/BS degree or higher.ResultsIn 2 separate logistic regression models, each adjusted for individual sociodemographics, community socioeconomic characteristics, individual injury/damage, and community storm damage, lower perceived collective efficacy was significantly associated with a greater likelihood of having PTSD (OR, 0.93; 95% CI, 0.90-0.96), and lower collective efficacy was significantly associated with frequent mental distress (OR, 0.94; 95% CI, 0.92-0.96).ConclusionsPrograms enhancing community collective efficacy may be a significant part of prevention practices and possibly lead to a reduction in the rate of PTSD and persistent distress postdisaster. (Disaster Med Public Health Preparedness. 2019;13:44–52).

scholarly journals Measuring Community Strengths – Using Data from The First Nations Regional Health Survey Linked with A Whole-Population Administrative Data Repository

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Nathan C Nickel ◽  
Wanda Phillips-Beck ◽  
Rhonda Campbell ◽  
Dan Chateau ◽  
Joykrishna Sarkar ◽  
...  
Keyword(s):  
First Nations ◽  
Administrative Data ◽  
Health Survey ◽  
Health Research ◽  
Community Level ◽  
Health Programs ◽  
Data Repository ◽  
Regional Health ◽  
Community Strength ◽  
Strength Based

IntroductionAdministrative data studies routinely report that First Nations mothers and children experience a disproportionate burden of poor health. Due to the nature of administrative data, research often takes a deficits-oriented approach. First Nations health research needs to consider the role that community- and individual-level strengths play in promoting wellbeing and examine how these interact with the delivery and outcomes of health programs. Objectives and ApproachThe First Nations Health and Social Secretariat of Manitoba (FNHSSM) and the University of Manitoba partnered to construct measures of community-level strengths that can be linked with administrative data to examine the delivery and outcomes associated with population health programs delivered in First Nations communities. We linked data from the FNHSSM-administered Regional Health Survey (RHS) with administrative data housed in the Manitoba Population Research Data Repository. We identified 60 questions from the child, youth, and adult versions of the RHS to measure community strengths. We used principal component analysis to identify strength-based constructs. We used Eigen values and percent of variance explained to determine the final number of factors. We used random group resampling and bootstrap methods to test for community-level homogeneity. Community-level factor scores were calculated as the scaled combination of RHS questions within each factor and averaged to the community. ResultsWe identified 12 constructs of community strength: 5 from child responses, 4 from youth, and 3 from adult responses. Strength-based constructs common to all age groups included knowledge of traditional language, involvement in cultural events, and connection with community. Conclusion / ImplicationsColonial approaches to health research perpetuate deficit-based dialogues and negative portrayal of First Nations peoples. First Nations health research should consider how community strengths promote health and interact with program delivery. Including measures of community strength leads to richer understandings of factors that promote wellness among First Nations peoples.

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