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Viral phenomena or viral sensation are objects or patterns that are able to replicate themselves or convert other objects into copies of themselves when these objects are exposed to them. Analogous to the way in which viruses propagate, the term viral pertains to a video, image, or written content spreading to numerous online users within a short time period. This concept has become a common way to describe how thoughts, information, and trends move into and through a human population. The popularity of viral media has been fueled by the rapid rise of social network sites, wherein audiences—who are metaphorically described as experiencing "infection" and "contamination"—play as passive carriers rather than an active role to 'spread' content, making such content "go viral". The term viral media differs from spreadable media as the latter refers to the potential of content to become viral. Memes are one known example of informational viral patterns. The word meme was coined by Richard Dawkins in his 1976 book The Selfish Gene as an attempt to explain memetics; or, how ideas replicate, mutate, and evolve. When asked to assess this comparison, Lauren Ancel Meyers, a biology professor at the University of Texas, stated that "memes spread through online social networks similarly to the way diseases do through offline populations." This dispersion of cultural movements is shown through the spread of memes online, especially when seemingly innocuous or trivial trends spread and die in rapid fashion. For example, multiple viral videos featuring Vince McMahon promoted misogynistic messages and hate against Jewish people, women, and the LGBTQ+ community. The video depicted McMahon throwing money into the ring at a WWE event. This video was taken out of context to support misogynistic views for the Men Going Their Own Way Movement to gain attention according to research lead by The Institute for Strategic Dialogue. This example demonstrates how public figures are turned into viral phenomena.
[2]Paolo Prandoni, [3]LCAV, EPFL
In [1]:
import matplotlib.pyplot as plt
import numpy as np
import scipy.signal as sp
import seaborn as sns
sns.set()
In [2]:
plt.rcParams["figure.figsize"] = (14,4)
The basic reproduction number[4]¶
The propagation mechanism of an epidemic such as the one caused by
SARS-CoV-2 virus can be roughly modeled, at least in its inital phase,
as a process in which each infected individ