Microblogging websites like Twitter have been shown to be immensely useful for spreading information on a global scale within seconds. The detrimental effect, however, of such platforms is that misinformation and rumors are also as likely to spread on the network as credible, verified information [4]. From a public health standpoint, the spread of misinformation creates unnecessary panic for th...

In recent years, the widespread use of social media has facilitated the propagation of messages after disasters. Unfortunately, because the veracity of messages is often difficult to determine in a disaster situation, social media also facilitates the rapid diffusion of rumors. Current studies have examined why individuals post or transmit rumors on social media. However, investigating factors ...

Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and implemented the Connectome Viewer Toolkit - a set of free and extensible open source neuroimaging tools written in Python. The key components of t...

This study is intended to identify the public’s attitudes towards spreading misinformation about COVID-19 through social media sites in Jizan region Kingdom of Saudi Arabia. Being a descriptive study, it depends on survey approach. The field was conducted using an intentional sample those who follow developments COVID pandemic networking websites. 300 users completed online survey. found high p...

The Maki-Thompson rumor model is defined by assuming that a population represented graph subdivided into three classes of individuals; namely, ignorants, spreaders and stiflers. A spreader tells the to any its nearest ignorant neighbors at rate one. At same rate, becomes stifler after contact with other neighbor spreaders, or In this work we study on random trees. As usual define critical param...

We introduce a generalized rumor spreading model and analytically investigate the spreading of rumors on scale-free (SF) networks. In the standard rumor spreading model, each node has an infectivity equal to its degree, and connectivity is uniform across all links. To generalize this model, we introduce an infectivity function that determines the number of simultaneous contacts that a given nod...