The structure of online social networks mirrors those in the offline world
By Robin I. M. Dunbar, Valerio Arnaboldi, Marco Conti, Andrea Passarella. Soc. Networks, 2015
384 citations recorded by the source corpus.
Abstract The cyber-physical convergence, the fast expansion of the Internet at its edge, and tighter interactions between human users and their personal mobile devices push towards a data-centric Internet where the human user becomes more central than ever. We argue that this will profoundly impact primarily on the way data should be handled in the Next Generation Internet. It will require a radical change of the Internet data-management paradigm, from the current platform-centric to a human-centric model. In this paper we present a new paradigm for Internet data management that we name Internet of People (IoP) because it embeds human behavior models in its algorithms. To this end, IoP algorithms exploit quantitative models of the humans’ individual and social behavior, from sociology, anthropology, psychology, economics, physics. IoP is not a replacement of the current Internet networking infrastructure, but it exploits legacy Internet services as (reliable) primitives to achieve end-to-end connectivity on a global-scale. In this opinion paper, we first discuss the key features of the IoP paradigm along with the underlying research issues and challenges. Then, we present emerging data-management paradigms that are anticipating IoP.
Subfields: Computer Networks and Communications, Transportation
View Paper: https://www.semanticscholar.org/paper/e20728df020b6519294935c6b97e527fecb8979c
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In Computer Networks and Communications
In Transportation
Citations in the corpus
- The Neurobiology of Social Distance (2020, positive): “Taken together, evidence of digital communication suggests that this new medium does not in fact change the general pattern of our social interactions or the numbers of people we contact [68,89,90,97].”
- Do online social media cut through the constraints that limit the size of offline social networks? (2016, background): “In fact, analyses of traffic in online environments such as Facebook and Twitter reproduce rather faithfully both the nested structure of the inner layers of offline networks and their typical interaction frequencies [33].”
- Twitter as Data (2018, background): “Three social media datasets, two from Facebook and one from Twitter, replicate this relationship hierarchy, though they find evidence of four to five layers (Dunbar et al., 2015).”
- Synchrony as an Adaptive Mechanism for Large-Scale Human Social Bonding (2016, neutral): “…a wide variety of interpersonal situations, including hunter-gatherer clans (Dunbar 1993), Christmas card networks (Hill & Dunbar 2003), and active Facebook relationships (Arnaboldi et al. 2013; Dunbar et al. 2015; Dunbar 2016), yet we can also experience a sense of connection with larger groups.”