Network Science: Theory and Applications

By T. Lewis. 2009

371 citations recorded by the source corpus.

How researchers see this paper

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Graph Signal Processing: Overview, Challenges, and Applications (2017, background): “1) Network science: This area addresses issues such as uncovering community relations, perceived alliances, quantifying connectedness, or determining the relevance of specific agents [6], [7], [8], [9].”
Adaptation, Learning, and Optimization over Networks (2014, background): “Network science is a fascinating field that is evolving rapidly across many domains [15, 19, 92, 121, 155, 179, 208].”
Adaptive Networks (2014, background): “…over such graphs can be studied and characterized from the perspective of cluster formations, degrees of connectivity, and small-world effects [3]–[5], it is the possibility of having agents interact dynamically with each other, and influence each other’s behavior, that opens up a plethora of…”
Quantifying China's Regional Economic Complexity (2017, background): “In recent years, as the availability of large-scale data [4, 6] and the development of complexity [19, 69] and network science [70, 71, 72], new conceptual frameworks have been developed to address these issues in a more efficient way with far less cost.”