https://www.socictopen.socict.org/files/original/7fecf3d56f3fa48c8b3fb2b2f1acfadc.pdf f29b52a243c52a55270f7bc0ab4a9747 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Link and Node Removal in Real Social Networks: A Review Creator An entity primarily responsible for making the resource Michele Bellingeri, Michele Bellingeri, Daniele Bevacqua, Francesco Scotognella, Francesco Scotognella, Roberto Alfieri, Quang Nguyen, Quang Nguyen, Daniele Montepietra, Davide Cassi Description An account of the resource We review the main results from the literature on the consequences of link and node removal in real social networks. We restrict our review to only those works that adopted the two most common measures of network robustness, i.e., the largest connected component (LCC) and network efficiency (Eff). We consider both binary and weighted network approaches. We show that the study of the response of social networks subjected to link/node removal turns out to be extremely useful for managing a number of real problems. For instance, we show that the consequences of the imposition of social distancing in many states to control the spread of COVID-19 could be analyzed within the framework of social network analysis. Our mini-review outlines that in social networks, it is necessary to consider the weight of links between persons to perform reliable analyses. Finally, we propose promising lines for future research in social network science. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource social network, information spreading, network attack, network robustness and resiliency, link (node) removal Identifier An unambiguous reference to the resource within a given context 10.3389/fphy.2020.00228 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Physics