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E-book Undoing Networks

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Penilaian

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There is a certain sense of strangeness to write the introduction to a book on undoing networks in voluntary self-isolation.1 The once open and connected world is suddenly disconnected and physically more separated than ever before. National borders are being closed, international travel is banned, people are encouraged—orsometimes forced with the threat of a fine—to seek shelter or stayhome, employers are moving work to internet platforms to avoid physical meetings, and many universities around the world have transitioned from teaching in-person classes to online environ-ments. The cause of this situation in the spring of 2020, as might go without saying, is the outbreak of the coronavirus COVID-19,whose symptoms include dry cough, shortness of breath, fever, and even deathly pneumonia.2 While the mortality rate estimates differ from source to source and country to country, emergency measures are being put in place at local, regional, national, and global scales to help healthcare systems cope with the outbreak. First identified in the Wuhan area of China in December 2019, the novel coronavirus quickly went global. To anyone for whom virality had become associated with social media and a certain business logic where “money” follows “social influence as it spreads across a network” (Sampson 2012, 2), COVID-19 provides a timely reminderabout the epidemiological traces of virality. The rapid spread of the virus shows that networks, whether physical or virtual, can give rise to an uncontrolled, wild, and even destructive form of connectivity. “[N]etworks,” as Alexander Galloway and Eugene Thacker (2007, 6) point out, sometimes “carry with them the most nonhuman and misanthropic tendencies.” By March 11, COVID-19 was recognized as a pandemic by the World Health Organization. Due to the rapid spread of the virus, disconnection, evasion, isolation, and avoidance became the new social norm, and online connections the preferred mode of social interaction. While we may be done with physical networking (at least for a while), we are not done with networks. In fact, as a form of “biological network,” “emerging infectious diseases . . . are highly dependent on one or more net-works” (Galloway and Thacker 2007, 90). The virus spreads within networks, and network models are used to explain how COVID-19becomes contagious; epidemiology and machine learning attempt to model and anticipate its movements. If virality thrives within networks, predicting the edges and cutting the nodes can be a way to bring it under control.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

302.23 KAR u

Penerbit

USA : meson press., 2021

Deskripsi Fisik

143 hlm

Bahasa

English

ISBN/ISSN

9783957961532

Klasifikasi

302.23

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

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Subjek

Media of Communication, Mass Media

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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