Six Degrees: The Science of a Connected Age

By Duncan J. Watts. 2003

2,331 citations recorded by the source corpus.

Subfields: Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/6e003bb2481ef13eae918d4691101b24b7b3f786

How researchers see this paper

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

In Information Systems and Management

Citations in the corpus

Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. (2000, background): “In the last few years, it has become the focus of considerable attention in the applied mathematics and statistical physics communities as well (Strogatz, 2001; Barabási, 2002; Watts, 2003; Newman, 2003).”
The Social Network Ties of Group Leaders: Implications for Group Performance and Leader Reputation (2006, background): “Studying these dynamic, structurational processes (cf. Giddens 1984, Barley 1986, Watts 2003) over time could help generate new theoretical insights into the coevolution of social networks, group performance, and the reputation for leadership.”
Strong, Weak and False Inverse Power Laws (2005, result): “Barabási and his colleagues first proposed a theoretical model of the link distribution for networks based on “preferential attachment,” which both Watts (2003) and Mitzenmacher (2001) noticed is very similar to Simon’s model.”
Topic and Role Discovery in Social Networks (2005, background): “Historically, research in the field has been led by social scientists and physicists [Lorrain & White, 1971; Albert & Barabási, 2002; Watts, 2003; Wasserman & Faust, 1994], and previous work has emphasized binary interaction data, with directed and/or weighted edges.”
Sufficient Conditions for Fast Switching Synchronization in Time-Varying Network Topologies (2005, background): “Meanwhile, in recent years, the study of large scale, random networks has become an extremely active area with the advent of advances in both theory and scientific application across numerous disciplines, as reviewed in [23, 24, 25, 26, 27] for example.”
Evidence for the network perspective on organizational learning (2008, background): “As Watts (2003) argues, clusters or cliques are always a result of overlapping”
Collective Memory from a Psychological Perspective (2009, background): “Studies of the epidemiology of beliefs and the spread of information across a network suggest that this posited convergence is not only a realistic possibility, but may be quite frequent (Sperber 1996; Watts 2004 ).”
From simplistic to complex systems in economics (2005, methodology): “…this representation of a network, although relevant in understanding some important networks, such as highway systems and power grids, is not very useful to understand many of the networks that exist in the 3 rd and 4 th order complex systems that we observe in the economy (see also Watts (2003)).”
Investigating the Variation of Personal Network Size Under Unknown Error Conditions (2006, methodology): “Dodds, Muhamad, and Watts (2003) used the World Wide Web to carry out a large ‘‘smallworld’’ experiment involving chains of acquaintances toward a target person.”
A Shapley Value-Based Approach to Discover Influential Nodes in Social Networks (2011, background): “This study allows us to know the critical role social networks play in several applications [51], [52].”
Spread of (mis)information in social networks (2009, background): “Then by a series of (successively tighter) upper bounds on the key term (mij +mji), we show how the effect of a particular influential link (i, j) on the excess influence throughout the society is related to the information bottleneck between agents i and j. Corollary 3.”
Graph mining: Laws, generators, and algorithms (2006, neutral): “The interested reader is also referred to some excellent and entertaining books on the topic [Barabási 2002; Watts 2003; Dorogovtsev and Mendes 2003].”