Network structure influence on simulated network interventions for behaviour change

We simulated diffusion of behaviour change over fifteen real-world networks with seven network interventions under both simple and complex contagion. We found that structural network properties affect both the diffusion outcome and the relative effectiveness of the different interventions, with confounding effects that were inconsistent with results expected from mathematical analysis. These results suggest that comprehensive studies are needed to identify the effects of structural properties on diffusion in real-world networks. Further, researchers attempting to identify the effect of individual properties must measure a range of properties to avoid incorrect attribution.     

An Exploratory Needs Analysis of Parents Diagnosed with Cancer

The purpose of this study was to explore the experiences of parents and co-parents where one parent was diagnosed with cancer with specific interest in the impact of the disease on their role as a parent and the supports that were found to be useful in managing the ongoing care of their children. A qualitative research method using semi-structured interviews and thematic network analysis techniques was used. Participants included adult English-speaking parents receiving treatment for a new diagnosis of cancer at a major tertiary oncology research and treatment centre, with prior social work involvement. Participants reported multiple, complex layers of need. Four salient themes were evident: (a) emotional impact of a cancer diagnosis on the patient, (b) accessing professional supports, (c) children’s understanding, and (d) meeting children’s needs. Parents described difficulties in managing emotionally, physically, and existentially. Accessing supports within the healthcare service and community was paramount, as was guidance around communicating with children. Receiving a proactive service from a social worker was highly regarded. The results demonstrate that it is essential to respond to the needs of parents with cancer in order to minimise prolonged emotional distress.     

Prestige in social dilemmas: A network analytic approach to cooperation among Bogotá’s art organizations

What brings about cooperation in social dilemmas? The literature has proposed motivational and strategic solutions to social dilemmas. In motivational solutions, actors cooperate because they care about fairness. In strategic solutions actors cooperate because their chances to exploit others are reduced. This paper argues that actors also cooperate in order to gain prestige. The effect of prestige on cooperation is examined relying on a unique set of network and covariate data on art organizations (museums, independent art spaces, galleries and art foundations) in Bogotá, the capital of Colombia. Bogotá is a not a very likely environment for cooperation, since distrust is still widespread after a long civil war. The temporal exponential random graph models predict dyadic cooperation (i.e., between two actors) based on past and present cooperation in the network as well as of the organizations’ characteristics. The analysis thus controls for the effect of actors’ past and present interaction on the present cooperation dilemma. The paper shows that prestige affects cooperation in social dilemmas independent of past and present interactions.     

Exploring the stability of communication network metrics in a dynamic nursing context

Network stability is of increasing interest to researchers as they try to understand the dynamic processes by which social networks form and evolve. Because hospital patient care units (PCUs) need flexibility to adapt to environmental changes (Vardaman et al., 2012), their networks are unlikely to be uniformly stable and will evolve over time. This study aimed to identify a metric (or set of metrics) sufficiently stable to apply to PCU staff information sharing and advice seeking communication networks over time. Using Coefficient of Variation, we assessed both Across Time Stability (ATS) and Global Stability over four data collection times (Baseline and 1, 4, and 7 months later). When metrics were stable using both methods, we considered them “super stable.” Nine metrics met that criterion (Node Set Size, Average Distance, Clustering Coefficient, Density, Weighted Density, Diffusion, Total Degree Centrality, Betweenness Centrality, and Eigenvector Centrality). Unstable metrics included Hierarchy, Fragmentation, Isolate Count, and Clique Count. We also examined the effect of staff members’ confidence in the information obtained from other staff members. When confidence was high, the “super stable” metrics remained “super stable,” but when low, none of the “super stable” metrics persisted as “super stable.” Our results suggest that nursing units represent what Barker (1968) termed dynamic behavior settings in which, as is typical, multiple nursing staff must constantly adjust to various circumstances, primarily through communication (e.g., discussing patient care or requesting advice on providing patient care), to preserve the functional integrity (i.e., ability to meet patient care goals) of the units, thus producing the observed stability over time of nine network metrics. The observed metric stability provides support for using network analysis to study communication patterns in dynamic behavior settings such as PCUs.     

The Swiss StudentLife Study: Investigating the emergence of an undergraduate community through dynamic,multidimensional social network data

The Swiss StudentLife Study (SSL Study) is a longitudinal social network data collection conducted in three undergraduate student cohorts (N₁ = 226, N₂ = 261, N₃ = 660) in 2016−2019. The main goal of the study was to understand the emergence of informal student communities and their effects on different individual outcomes, such as well-being, motivation, and academic success. To this end, multiple dimensions of social ties were assessed, combining computer-based surveys, social sensors, social media data, and field experiments. The dynamics of these social networks were measured on various time scales. In this paper, we present the design and data collection strategy of the SSL Study. We discuss practical challenges and solutions related to the data collection in four areas that were key to the success of our project: study design, research ethics, communication, and population definition.     

A proposed multistage evaluation approach for Higher Education Institutions based on network Data envelopment analysis: A Brazilian experience

The evaluation of Higher Education Institutions (HEIs) is a challenging task, due to the complexity inherent in the context in which they are inserted, the different institutional profiles, the variety of resources used and the results offered in the performance of their mission. In this way, the present study proposes an evaluative approach that aims to measure efficiency taking into account the diverse activities characteristic of university institutions. To this end, a data envelopment analysis (DEA) approach, known as Network DEA, is used, which encompasses the different processes and subprocesses that take place within these institutions. In all, the evaluation considers eleven variables organized in three distinct stages, which reflect the performance of the HEIs in different perspectives: financial, undergraduate level and graduate level (student training and scientific production and innovation). Finally, the model was applied at 45 Brazilian federal universities. This case study allows a comprehensive efficiency analysis to be carried out for the set of institutions considered, from each perspective taken into account in the approach.     

Frailty models power variance function with cure fraction and latent risk factors negative binomial

In this article, we propose a flexible cure rate model, which is an extension of Cancho et al. (2011 Cancho, V.G., Rodrigues, J., de Castro, M. (2011). A flexible model for survival data with a cure rate: A Bayesian approach. J. Appl. Stat. 38:57–70.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) model, by incorporating a power variance function (PVF) frailty term in latent risk. The model is more flexible in terms of dispersion and it also quantifies the unobservable heterogeneity. The parameter estimation is reached by maximum likelihood estimation procedure and Monte Carlo simulation studies are considered to evaluate the proposed model performance. The practical relevance of the model is illustrated in a real data set of preventing cancer recurrence.     

Fathers Facing Advanced Cancer: An Exploratory Study

Adults who are living with cancer while raising young children are faced with distinct challenges particularly when that cancer is advanced. While the literature examining parental cancer continues to grow, very little has focused on families facing advanced cancer and the father’s perspective is nearly absent. To address these gaps, grounded theory methods were used to study the experiences of 11 fathers living with advanced cancer while raising minor children. The participants were all married with between one and six children living in their household. Semistructured, in-person interviews revealed concerns for their children permeated the “ordeal” and these fathers described the ongoing challenge of “teeter-tottering between hope and despair.” The fathers used key protective strategies to counterbalance the weight of the barriers to achieve resilience throughout the cancer experience. Primary barriers were characterized as physical impairments, uncertainty, and financial strain. Fathers described relying on flexibility in their roles as fathers, open communication patterns, use of supportive resources, and the ability to find meaning in their experiences as crucial to fostering resilience. Recommendations include interdisciplinary family centered interventions that consider gendered parental roles as well as financial burden.     

大学生网络政治参与:阻碍因素、形成机理与引导对策

网络技术的迅猛发展强烈地冲击着社会政治生活,对当代大学生产生重要影响。处于这个时代的大学生缘于网络呈现政治意识自觉拓展、群体效应的酝酿、实践场域与能力扩展以及诉求多元化与渠道缺失等特点,其形成过程表现为以热点追踪为信息源、话题讨论、观念内化、行为实践由外至内再外化的过程。针对大学生网络政治参与的现状及机理,应从完善法律法规,加强政府网络信息机制建设;优化网络政治环境,加强对大学生网络热点话题的管理;加强网络疏导,引导大学生网络群体活动有序开展;加强网络自律,树立网络名人、榜样示范效应这四个维度来建设,促进大学生网络政治参与和谐进行。     

Anatomy of Protest in the Digital Era: A Network Analysis of Twitter and Occupy Wall Street

Two months before the first Occupy Wall Street (OWS) protest in September 2011, activists were using Twitter to organize and spread the movement. In this study, the earliest Twitter messages regarding #OccupyWallStreet were subjected to network analysis to answer these questions: What were the central hubs in the OWS discourse on Twitter in the summer of 2011? How did OWS emerge from among several social movement organizations to lead a nationwide series of demonstrations? What were the key points in the Twitter dialogue that aided the process of scale shift? By addressing these questions, this research connects social movement concepts with network centrality measures to provide a clearer picture of movements in the digital era.