According to its popularizers, the scientific practices grouped under the umbrella term “network science” deploy network structures in the analysis of data and in simulation in order to codify a higher grade of complexity and a wider domain of objects. Part of the network orientation’s power comes from its capacity to unveil counterintuitive relations behind common sense phenomena. Networks also assist in the study of emergent complexity by providing a framework for the computational management of data. According to Caldarelli and Catanzaro’s Networks: A Very Short Introduction, the network may be a creative method of discovery that employs mathematical relations, but it is not an idealization that would merely represent its objects.  They insist that the network is a factual synthesis. Both Albert-László Barabasi and Duncan J. Watts echo this view in their respective popular accounts of network science. Note, however, a significant difference between these two. Barabasi, a physicist, is more willing to embrace a universal mathematical model. He for instance speaks of “the fundamental laws governing the spread of fads, ideas, and epidemics in complex networks.”  Whereas Watts, the sociologist, emphasizes the behavior of individual actors responsible for networks’ dynamics. Regarding the variation of social distance between persons and organizations, Watts writes: “in a science increasingly dominated by physicists, the reentry of sociology into the picture was a significant intellectual development.”  Nevertheless, according to Watts, the science of networks is the science of the “real world.”  Despite Barabasi's and Watts’s different emphases, both maintain that the computationally supported graph theory of network science provides indisputable evidence of reality. Network science aims to count the countless, to enumerate the innumerable, and, to borrow an ironic phrase from Colin Milburn’s Nanovision that highlights the domineering masculine rhetoric of scientific rationality, enacts an ideal of "effing the ineffable."  From the “factual synthesis” of Caldarelli and Catanzaro to Barabasi’s “fundamental laws” and Watts’s “real world,” network science purports to achieve a lossless mediacy.