Revisiting the Foundations of Network Analysis

By Carter T. Butts. 2009

520 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Statistical and Nonlinear Physics

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In Experimental and Cognitive Psychology

In Statistical and Nonlinear Physics

Citations in the corpus

Functional network organization of the human brain (2011, background): “…treating a graph as a model of a real system, if the nodes of the graph do not accurately represent real items in the system, the graph itself is a distorted model and graph theoretic properties will diverge from the true properties of the system (Butts, 2009; Smith et al., 2011; Wig et al., 2011).”
Graph-Based Network Analysis of Resting-State Functional MRI (2010, unknown): “As Butts (2009) stated, the inappropriate representation of nodes and edges in a network and failure to consider the dynamics of the system of interest will lead to misleading conclusions and generally poor results.”
Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks (2008, background): “The dynamical dimension provided by the high temporal resolution of the presented experiments might be the key to gather new data on the interplay between the concurrency/duration of contacts and their number [27].”
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory (2010, background): “We here highlight social networks where the application of graph theory has a long tradition ([54,55], and see e.g., [56,57] for recent reviews).”
Digital Footprints: Opportunities and Challenges for Online Social Research (2014, background): “Another fundamental problem in online as well as offline network studies is deciding what constitutes a social tie (Butts 2009).”
Constructing, conducting and interpreting animal social network analysis (2015, background): “been found to generate high rates of both type I and type II errors (Butts 2009; Langer, Pedroni & Jancke 2013; Farine 2014) than using the original weighted network,”
Decreased segregation of brain systems across the healthy adult lifespan (2014, background): “Older Adults (65-89) Older adults with better memory performance and higher association system segregation”
Once upon a time (2016, background): “However, in team research, like in the social sciences in general, theories rarely specify time scales, even though the time scales along which social interaction unfolds vary widely (Butts, 2009).”
Networks beyond pairwise interactions: structure and dynamics (2020, background): “Applications to real-world systems, however, require the possibility to describe more details of an interaction [11], like for example: directed edges to describe the origin and destination of a message; edge weights, to highlight the intensity of an interaction; and even signs on the edges to disti”