Computer Science – Social and Information Networks
Scientific paper
2010-12-09
2011 EPL 94 38001
Computer Science
Social and Information Networks
Changes made for third revision: Brief description of the dataset employed added to Introduction. Minor changes to the descrip
Scientific paper
10.1209/0295-5075/94/38001
Online Social Networks (OSNs) are a cutting edge topic. Almost everybody --users, marketers, brands, companies, and researchers-- is approaching OSNs to better understand them and take advantage of their benefits. Maybe one of the key concepts underlying OSNs is that of influence which is highly related, although not entirely identical, to those of popularity and centrality. Influence is, according to Merriam-Webster, "the capacity of causing an effect in indirect or intangible ways". Hence, in the context of OSNs, it has been proposed to analyze the clicks received by promoted URLs in order to check for any positive correlation between the number of visits and different "influence" scores. Such an evaluation methodology is used in this paper to compare a number of those techniques with a new method firstly described here. That new method is a simple and rather elegant solution which tackles with influence in OSNs by applying a physical metaphor.
Brenes David J.
Fernández-Fernández Diego
Fernández-Menéndez María E.
García-Suárez Rodrigo
Gayo-Avello Daniel
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