Community Structure in Jazz

By Pablo M. Gleiser, Leon Danon. Advances in Complex Systems, 2003

1,182 citations recorded by the source corpus.

Using a database of jazz recordings we study the collaboration network of jazz musicians. We define the network at two different levels. First we study the collaboration network between individuals, where two musicians are connected if they have played in the same band. Then we consider the collaboration between bands, where two bands are connected if they have a musician in common. The community structure analysis reveals that these constructions capture essential ingredients of the social interactions between jazz musicians. We observe correlations between recording locations, racial segregation and the community structure. A quantitative analysis of the community size distribution reveals a surprising similarity with an e-mail based social network recently studied.

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/dcc55bb43566fa1f1215b68913ba897e4d1b13a3

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Citations in the corpus

Finding and evaluating community structure in networks. (2003, background): “@45# P. Gleiser and L. Danon, e-print cond-mat/0307434.”
Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, background): “The New York community split up into two other communities corresponding to another segregation between black and white musicians [110].”
Finding community structure in very large networks. (2004, methodology): “This algorithm has been applied successfully to a variety of networks, including networks of email messages, human and animal social networks, networks of collaborations between scientists and musicians, metabolic networks and gene networks [20, 22–30].”
Detecting community structure in networks (2004, background): “In the simplest case, a network or graph can be represented as a set of points, or vertices , joined in pairs by lines, or edges .”
A Shapley Value-Based Approach to Discover Influential Nodes in Social Networks (2011, background): “Jazz Data Set: This dataset consists of the list of links of the network of Jazz musicians [20].”
Analysis of the structure of complex networks at different resolution levels (2007, background): “This is the case, for example in the worldwide airports network [6], the WWW [7], biological networks [8, 9, 10], social networks [3, 11] and the Internet [12, 13], among others.”
Modularity-maximizing graph communities via mathematical programming (2007, background): “The test networks included a collaboration network of jazz musicians (JAZZ) [19], the social network of a community of 62 bottlenose dolphins (DOLPH) living in Doubtful Sound, New Zealand [31], an interaction network of the characters from Victor Hugo’s novel Les Mis´erables (MIS) [30], a…”
Using Geodesic Space Density Gradients for Network Community Detection (2017, background): “Similarly, two level hierarchical structure of Jazz BandsNetwork [19] is shown in Fig.”
Community detection in graphs (2009, methodology): “…have pointed out that the original expression of modularity is not ideal to detect communities in bipartite graphs, which describe several real systems, like food webs (Williams and Martinez, 2000), scientific (Newman, 2001) and artistic (Gleiser and Danon, 2003) collaboration networks, etc..”
The Ubiquity of Small-World Networks (2011, methodology): “2 5.13 0.26 0.57 0.10 2.71 3.36 0.35 2.03 Word adjacency (Newman 2006) 112 7.59 0.17 0.69 0.19 2.49 2.54 0.73 0.89 Football (Girvan and Newman 2002) 115 10.66 0.40 0.67 0.08 2.24 2.51 0.29 4.67 Jazz (Gleiser and Danon 2003) 198 27.70 0.62 0.76 0.26 1.99 2.24 0.08 2.08 US airlines (1997) (Batagelj an”
Fast algorithm for detecting community structure in networks. (2003, background): “In other tests, we ﬁnd that our algorithm also successfully detects the main two-way division of the dolphin social network of Lusseau [6, 18], and the division be-tween black and white musicians in the jazz network of Gleiser and Danon [11].”