An Experimental Study of Search in Global Social Networks
By Peter Sheridan Dodds, R. Muhamad, Duncan J. Watts. Science, 2003
806 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Safety Research, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/eea7a8c6cad3147b1d0be98cf4c19749ba0e7ed8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Jon M. Kleinberg
- Duncan J. Watts
- Matthew O. Jackson
- Eytan Adar
- Lada A. Adamic
- Remco van der Hofstad
- Matthew J. Salganik
- E. Ben-Naim
In Safety Research
- Matthew J. Salganik
- Duncan J. Watts
- Kevin Lewis
- Amir Goldberg
- Michael W. Macy
- Scott A. Golder
- Daniel A. McFarland
- Remco van der Hofstad
In Statistical and Nonlinear Physics
- Jon M. Kleinberg
- Mark Newman
- Albert-László Barabási
- Jure Leskovec
- Duncan J. Watts
- Remco van der Hofstad
- Kristina Lerman
- Lada A. Adamic
Citations in the corpus
- A Survey of Statistical Network Models (2009, background): “[86] studied a global “replication” variation on the Milgram study in which more than 60,000 e-mail users attempted to reach one of 18 target persons in 13 countries by forwarding messages to acquaintances.”
- Network Properties Revealed through Matrix Functions (2010, background): “The same phenomenon has been observed in more modern communication networks [19, 72].”
- Small Worlds and Regional Innovation (2007, neutral): “…(Davis et al. 2003), strategic alliances (Verspagen and Duysters 2003), Canadian investment bank syndicates (Baum et al. 2003), e-mail networks (Dodds et al. 2003), Italian scientific and academic collaboration networks (Balconi et al. 2004), and invisible scientific colleges (Goyal et al.…”
- Effects of missing data in social networks (2003, background): “of actors. Watts et al. (2002), based on the results of Travers and Milgram (1969) as well as their own recent electronic experiment ( Dodds et al., 2003 ), proposed that people use multiple relations in order to solve the small world problem, i.e.”
- The Economics of Social Networks (2005, background): “22For example, see Gar eld (1979), Kochen (1989), and Dodds, Muhamad, and Watts (2003).”
- Sociology in the Era of Big Data: The Ascent of Forensic Social Science (2015, positive): “A fourth approach stems from human-computer interaction and uses experimentation to take advantage of large-scale, real-time manipulations of user experiences on social media platforms so as to identify causal relations (Centola 2010; Dodds et al. 2003; Salganik et al. 2006).”
- How to search a social network (2003, methodology): “Finally, it was difficult to construct a hierarchy for each attribute as required by the model of Dodds et al. (2003).”
- Trading routes, bypasses, and risky intersections: mapping the travels of `networks' between economic sociology and economic geography (2006, background): “to acquaintances – suggested that Milgram’s surprising findings are remarkably robust (Dodds et al., 2003).”
- Extremal Properties of Random Structures (2003, positive): “s from Nebraska to Boston and from Los Angeles to New York. In an experiment in 2001 and 2002, 60,000 individuals were able to repeat the experiment using email to form chains across different content [12]. The small world phenomenon is currently exploited by commercial networking services such as Li”
- 5. Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling (2004, background): “Work on the ‘‘small-world’’ problem (Watts and Strogatz 1998; Watts 1999; Dodds et al., 2003) seems to indicate that in most networks the average path length between any two people is often quite short.”
- A Critical Review of Centrality Measures in Social Networks (2010, background): “This so-called " small world phenomenon " , which is also known under the heading " six degrees of separation " , can be observed both in the offline and in the online world (e.g., Dodds et al. 2003; Leskovec and Horvitz 2008; Travers and Milgram 1969).”
- The “New” Science of Networks (2004, methodology): “…dimension, then not only are the resulting networks highly clustered with short global path lengths, but they are also searchable in a sense similar (Dodds et al. 2003a) replicating the small-world method of Milgram (Korte & Milgram 1970, Milgram 1967, Travers & Milgram 1969), but using e-mail…”
- Snowball Sampling Completion (2013, neutral): “ 2 2 2 1 m LS P (14)”