Social Networks in the History of Innovation and Invention by Francis C. Moon

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By Francis C. Moon

This ebook integrates background of technology and know-how with glossy social community conception. utilizing examples from the historical past of machines, in addition to case reports from instant, radio and chaos concept, the writer demanding situations the genius version of invention. community research options are offered to illustrate the societal nature of invention in components comparable to steam energy, inner combustion engines, early aviation, air con and extra. utilizing sleek measures of community conception, the writer demonstrates that the social networks of invention from the nineteenth and early twentieth centuries have related features to fashionable twenty first C networks resembling the realm extensive internet. The booklet presents proof that exponential progress in technical innovation is associated with the expansion of ancient innovation networks.

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Random House, New York Rosenberg D, Grafton A (2010) Cartographies of time: a history of the timeline. Princeton Architectural Press, New York Schmidt-Burkhardt A (2011) Maciunas’ learning machines: from art history to a chronology of fluxus, 2nd edn. Springer, Wien Silverberg G, Dosi G (1988) Innovation, diversity and diffusion: a self organization model. Econ J 98(393):1032–1054 de Solla Price D (1963) Little science big science. Columbia University Press, New York de Solla Price D (1965) Is technology historically independent of science: a study in statistical historiography.

1405) are likely to have influenced fifteenth century engineers but the direct evidence is not clear. The influence lines of Leonardo himself on other contemporary and later nodes are more problematic since his manuscripts were never published. However some scholars, such as Ivor Hart (1961) believe that after Leonardo’s death in 1519, the executor of the manuscripts, Francesco Melzi, may have allowed certain artists to make copies from the manuscripts or allowed scientists and scholars to read some of the manuscripts in the half century period that Melzi had them in his possession.

8, the ‘distance’ between node A and D is two links. g. Watts 2003). For the steam engine network represented by the matrix in Fig. 7 we find a distribution of separation paths in this network shown in Fig. 10. For example the ‘distance’ between Watt and Benjamin Franklin in Fig. 5 is two links while the distance between Watt and Oliver Evans is four links. Most of the nodes in Watt’s network are only separated by 1,2 or 3 links. Algorithms in graph theory that address this problem are called ‘shortest path’ algorithms and use the adjacency matrix similar to that in Fig.

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