Linked: The New Science of Networks

By Albert-László Barabási, Maximino Aldana-Gonzales. 2003

1,366 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/076a237ca320eec97ed394f8930b3d85702554a3

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In Molecular Biology

Citations in the corpus

Overview of the 2003 KDD Cup (2003, background): “There has been a surge of recent interest in the study of networks across many domains, ranging from communication and information networks such as the Internet and the Web to social and biological interaction networks (for recent surveys, as well as books aimed at more general audiences, see e.g. [”
A Survey of Eigenvector Methods for Web Information Retrieval (2005, background): “vector is known to follow a power law or Zipfian distribution [2, 51, 25],2 it is possible that a small section of the tail of this vector, ranked in decreasing order, might look like this:”
The Power Grid as a Complex Network: a Survey (2011, background): “, airline travel routes, computer chip wiring, telephone call graphs) [69].”
Social media and political communication: a social media analytics framework (2012, background): “Barabasi (2002) shows that the network of these relationships tends to show an unequal distribution where a small number of blogs occupy a majority of hyperlinks.”
The small world of the cerebral cortex (2007, background): “Small-world networks are ubiquitous in natural, social and technological systems (Milgram, 1967; Watts and Strogatz, 1998; Jeong et al., 1999; Albert et al., 1999; Strogatz, 2001; Albert and Barabasi, 2002; Barabasi, 2002; Watts, 2003).”
Supply network disruption and resilience: A network structural perspective (2015, background): “3c) takes the notion of highly central nodes to the extreme (Barabási, 2002).”
Looking for inspiration: new perspectives on respiratory rhythm (2006, background): “Various connection schemes dramatically influence the temporal dynamics in a wide array of network systems in the physical and biological worlds, and influence the robustness of network function in the event of attack or insult, as well as the ability to respond to external input”
The Structure and Function of Complex Networks (2003, background): “Barabási’s Linked [31] gives a personal account of recent developments in the study of networks, focusing particularly on Barabási’s work on scale-free networks.”
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 ‐…”
Decomposability in Knowledge Structures and Its Impact on the Usefulness of Inventions and Knowledge-base Malleability (2008, methodology): “Our measure of the level of decomposability in the knowledge base is a modification of the clustering coefficient, a concept used in the literature on complex networks (Watts and Strogatz, 1998; Barabasi, 2002).”
The Matthew effect in empirical data (2014, background): “Although this set-up is rather frail as any nonlinearity in the attachment rate may either eliminate the hubs or generate superhubs [33,34], the concept of preferential attachment, along with the ‘small-world’ model by Watts & Strogatz [35], undoubtedly helped usher in the era of network science [36”