Results 231 to 240 of about 418,792 (249)
Some of the next articles are maybe not open access.
2016
In the last chapter, a qualitative comparison of various real-world structures with classic random graph models revealed that complex networks are non-random in many aspects. This chapter focuses on the question of how to quantify the statistical significance of an observed network structure with respect to a given random graph model.
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In the last chapter, a qualitative comparison of various real-world structures with classic random graph models revealed that complex networks are non-random in many aspects. This chapter focuses on the question of how to quantify the statistical significance of an observed network structure with respect to a given random graph model.
openaire +1 more source
Parallel Generation of Simple Null Graph Models
2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020Jack Garbus +2 more
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Does disturbance affect the structure of tropical fish assemblages? A test using null models
Journal of Fish Biology, 2007Anne Magurran
exaly
Is the Rapoport effect widespread? Null models revisited
Global Ecology and Biogeography, 2006JOSÉ Schoereder, Carla Ribas
exaly