Linked - how everything is connected to everything else and what it means for business, science, and everyday life

By Albert-László Barabási. 2003

1,820 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ea57007efdb5de60df50f0b3ef0d266ff48b09f8

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Citations in the corpus

Top Ten Behavioral Biases in Project Management: An Overview (2021, background): “Escalation of commitment often coexists with and is reinforced by what has been called “preferential attachment” or the “Yule process” (Barabási, 2014; Barabási & Albert, 1999; Gabaix, 2009).”
"Big Data" : big gaps of knowledge in the field of internet science (2012, background): “Random networks, on the other hand, hardly provide targets for coordinated attacks that could lead to extreme damages in characteristics such as average path length (Barabasi, 2003).”
Organizational network perceptions versus reality: A small world after all? ☆ (2008, background): “Despite intense activity devoted to networks as diverse as the World Wide Web ( Barabasi, 2003 )a nd partnerships between creators of Broadway musicals (Uzzi & Spiro, 2005), small world research has failed to investigate the possibility that social network cognitions might be organized according to”
Why rumors spread so quickly in social networks (2012, background): “Well known is the observation that any two individuals are connected through just “six degrees of separation”, which was first formulated by Karinthy (see Barabási [2]) and became known to a broad audience through Milgram’s “small world study” [25].”
The NPV of bad news (2007, background): “…as one of the primary limitations of aggregate diffusion models (Mahajan & Peterson, 1985), and a major challenge for researchers who want to analyze markets in a parsimonious way, yet must take into account that social structure has a profound effect on information transfer (Barabási, 2003).”
A new cognitive model: Cloud model (2009, background): “11 Although the growth of nodes and preferential attachment is a sufﬁcient condition of generating scale-free networks, the BA-model cannot describe the hierarchical architecture of scale-free networks.”
An appraisal of athlete development models through citation network analysis (2010, background): “Researchers in other areas of sport and exercise psychology are encouraged to take a step back from the reductionism predominantly driving science (Barabási, 2003) and consider synthesizing bodies of literature using a citation network approach.”
Business Intelligence and Analytics: From Big Data to Big Impact (2012, background): “…metrics, topology, and mathematical models have been developed that help understand network properties and relationships (e.g., centrality, betweenness, cliques, paths; ties, structural holes, structural balance; random network, small-world network, scale-free network) (Barabási 2003; Watts 2003).”
Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models (2008, background): “We explore five different network structures: fully connected, random (Erdos and Renyi 1960), small world (Watts and Strogatz 1998), scale-free (Barabasi and Albert 1999), and lattice (where contact only occurs between neighbors on a ring). We parameterize the model so that all networks (other than ”
The geopolitics of renewables; exploring the political implications of renewable energy systems (2016, background): “10 The obvious peculiarity of this perspective is that it does not follow an exclusively technical topology of infrastructures (like Barabasi 2003; Newman 2003) but also considers (besides the transport and distribution network) the production/conversion and storage facilities, the management and…”
Hot Topics and Popular Papers in Evolutionary Psychology: Analyses of Title Words and Citation Counts in Evolution and Human Behavior, 1979 – 2008 (2009, methodology): “Third, the Matthew effect – the idea that “the rich get richer,” that publications that are initially highly cited tend to have the advantage of being cited even more in the future – may also occur (Barabási, 2003; Gladwell, 2008; Merton, 1968).”