The “New” Science of Networks
By Duncan J. Watts. 2004
1,270 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/df622aace31b0a2f58b0cb26c1eef4abd672d920
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
- Tore Opsahl
- M. Moore
- Rakhyun E. Kim
- Roger Manktelow
- Chris Cooper
- T. Roediger-Schluga
- Steven L. Johnson
- Alejandro Jaimes
In Statistical and Nonlinear Physics
- Tore Opsahl
- Nicola Perra
- Rodolfo Baggio
- Chris Cooper
- Matthew O. Jackson
- Michael J. Barber
- Bruno Gonçalves
- Pietro Panzarasa
Citations in the corpus
- Research, part of a Special Feature on Resilience Through Multi-scalar Collaboration Surmountable Chasms: Networks and Social Innovation for Resilient Systems (2011, background): “The topic of social networks, which is receiving growing attention (Borgatti and Foster 2003, Watts 2004, Oerlemans et al. 2007), is hardly a new scholarly interest (e.g., Bavelas 1950, Milgram 1967, Granovetter 1973).”
- Investigating the Variation of Personal Network Size Under Unknown Error Conditions (2006, background): “A popular assumption is that of a scale-free network (cf. Watts 2004).”
- Accessibility of Cities in the Digital Economy (2004, background): “To provide a brief introduction, the ideas which underpin the next section derive from the new science of networks (Barabási, 2002; Buchanan, 2002; Watts, 2003, 2004), an analytical field which has expanded rapidly over the last 10 ‐ 15 years, the main focus of which is the large ‐ scale real ‐…”
- The Emergent Network Structure of the Multilateral Environmental Agreement System (2013, background): “The average path length is the average number of links that must be traversed in the shortest path between any two reachable pair of nodes, and it can be understood as a global measure of separation (Watts, 1999, 2004).”
- An Overview of Social Networks and Economic Applications (2011, background): “Clustering is 1 for nodes 1, is 2/3 for nodes 2 and 3, is 1/2 for node 4, 1/3 for node 5, and 0 for node 6 detailed analyses of what strategies people used in selecting to whom they forwarded messages (e.g., see Watts (2004)).”
- Modeling Users' Activity on Twitter Networks: Validation of Dunbar's Number (2011, background): “Thus, while new data and computational approaches to social science [1,2,3] finally enable us to answer a large number of long-standing questions [4,5,6], we are also increasingly confronted with new questions related to the way social interaction and communication change in online social environmen”
- R&D collaboration networks in the European framework programmes: data processing, network construction and selected results (2008, background): “The power-law or Pareto distribution is also called a scale-free distribution and the so-characterised network scale-free (for an illustration, see Watts 2004, p. 251).”
- Patterns and dynamics of users' behavior and interaction: Network analysis of an online community (2009, background): “As a few scholars have pointed out (e.g., Jin et al., 2001; Watts, 2004), when the cost for creating and maintaining additional social relationships or searching for new acquaintances prevents individuals from having a disproportionately large number of relationships with others, the degree distribu”