The convergence of social and technological networks

By Jon M. Kleinberg. Theory and Applications of Models of Computation, 2008

374 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/617e600f6ef65af89c3098d008ab101f2bc54090

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In Computer Vision and Pattern Recognition

In Statistical and Nonlinear Physics

Citations in the corpus

Web Data Extraction, Applications and Techniques: A Survey (2012, background): “, friendship relationships) are created and evolve over time [69]? How does novel ideas spread and propagate through the web of human contacts [15]? How does the human language evolve through social interactions (e.”
Validity Issues in the Use of Social Network Analysis with Digital Trace Data (2011, neutral): “Social network analysis with digital trace data constitutes a “measurement revolution” (Kleinberg, 2008) because it provides a way of harnessing the data contained in online archives and using it to operationalize concepts of deep theoretical interest.”
NEIGHBORHOOD EFFECTS: ACCOMPLISHMENTS AND LOOKING BEYOND THEM* (2010, positive): “As Kleinberg (2008) points out, the past decade has witnessed a coming-together of the technological networks that connect computers in the internet and the social networks that have always connected people since the emergence of human societies.”
Aligning Popularity and Quality in Online Cultural Markets (2021, background): “Our work is a step toward the understanding and development of expressive computational models for long-term effect of social influence (including unpredictability), an open question raised by Kleinberg (2008).”
The Social Internet of Things (SIoT) - When social networks meet the Internet of Things: Concept, architecture and network characterization (2012, background): “In fact, the incredible success of social networking websites, such as Twitter and Facebook, and the availability of data about the structure and dynamics of social networks collected through these websites, have attracted the attention of a large number of scientists from several areas [21].”
Social Networks that matter: Twitter under the Microscope (2008, background): “Facebook , LinkedIn and MySpace , to give a few examples, contain millions of members who use these networks for keeping track of each other, ﬁnd experts and engage in commercial transactions when needed [6].”