Social Networks Applied

By Steffen Staab, Pedro M. Domingos, Peter Mika, Jennifer Golbeck, L. Ding, Timothy W. Finin, Anupam Joshi, Andrzej Nowak, Robin R. Vallacher. IEEE Intelligent Systems, 2005

336 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/80b70036cbe40ec305f0c0a5fd3a8a31a040ec43

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Mitsuru Ishizuka
2. Kôiti Hasida
3. Takuichi Nishimura
4. Masahiro Hamasaki
5. Junichiro Mori
6. Hideaki Takeda
7. Yutaka Matsuo
8. Ramiz M. Aliguliyev

In Statistical and Nonlinear Physics

1. Yutaka Matsuo

Citations in the corpus

• POLYPHONET: an advanced social network extraction system from the web (2006, background): “Potential applications of social networks in information systems are presented in [43]: Examples include viral marketing through social networks (also see [24]) and e-mail filtering based on social networks.”
• Social networks (2009, neutral): “If a network shares the following two characteristic properties it is called a “small-world” [5, 7]: (i) high clustering and (ii) a small average shortest path between two nodes scaling logarith-mically with network size.”