Tuning degree distributions of scale-free networks

Scale-free networks are characterized by a degree distribution with power-law behavior and have been shown to arise in many areas, ranging from the World Wide Web to transportation or social networks. Degree distributions of observed networks, however, often differ from the power-law type and data based investigations require modifications of the typical scale-free network. We present an algorithm that generates networks in which the skewness of the degree distribution is tuneable by modifying the preferential attachment step of the Barabasi-Albert construction algorithm. Skewness is linearly correlated with the maximal degree of the network and, therefore, adequately represents the influence of superspreaders or hubs. By combining our algorithm with work of Holme and Kim, we show how to generate networks with skewness gamma and clustering coefficient kappa, over a wide range of values.Comment: 13 pages, 5 figures. Submitted to Physical Review E; references added, intro rewritte

The psychological science accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

Importance of open access to atypical antipsychotics for the treatment of schizophrenia and bipolar disorder : a European perspective

OBJECTIVE: To assess European psychiatrists' prescribing behaviour and their perceived need for access to a wide range of atypical antipsychotics for patients with schizophrenia and bipolar disorder. METHODS: A blinded, internet survey of psychiatrists from the UK, Germany, Italy and the Netherlands occurred in 2007. Key inclusion criteria for psychiatrists: practising full time; practising for 5-35 years; prescribed atypical antipsychotics in prior 6 months to > or =20 patients with schizophrenia or bipolar disorder. Eligible psychiatrists selected records for four patients with schizophrenia or bipolar disorder for whom they prescribed > or =1 atypical antipsychotic since January 2004. RESULTS: Survey response rates were: UK, 14.8% (n = 107); Germany, 9.6% (n = 104); Italy, 8.9% (n = 101) and the Netherlands, 3.7% (n = 51); 363 psychiatrists reported on 1442 patients. Psychiatrists perceived a greater difference among atypical antipsychotics as a class (mean, 5.1 on a 7-point scale [7 = 'highly differentiated']) but not selective serotonin reuptake inhibitors (mean, 3.6). On average, psychiatrists used 6.8 different atypical antipsychotics across their patients with schizophrenia and 4.4 across their patients with bipolar disorder, with 2.5 and 2.4 changes required following first-line treatment to stabilise therapy, respectively. The most common reason for switching medication was lack of efficacy. Psychiatrists reported that expected consequences for patients should access to atypical antipsychotics be restricted would include illness deterioration, non-adherence and hospitalisation. CONCLUSIONS: Although this study is limited by potential selection biases, these data suggest that European psychiatrists tailor antipsychotic medications for patients with schizophrenia or bipolar disorder according to patients' needs and specific drug attribute