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Social network analysis offers a broad range of formal and interpretative methodologies to deal with social structures, not only by discursive, but also by visual means. Sociograms, depicting social relations as nodes and lines, have played an important part in the reification of social structures since the beginnings of sociometry. This paper brings together two strands of analysis: first, a historical perspective on the development of social network visualization; and, second, exemplary stories of black-boxed technologies that inform not only the depiction, but also the interpretation of social networks. The article aims to reflect upon scientific construction of social structures as knowledge that is appropriated by society not least owing to its easy handling as tool and interface. Drawing social networks is regarded as social technology and therefore as an application within the realms of social engineering.
509017 Social studies of science, social network analysis, social engineering, image production, network visualization, reflexivity, informatization, 509025 Technikforschung, social network visualization, social technology, performativity, 509017 Wissenschaftsforschung, 509025 Technology studies, optimization, sociometry
509017 Social studies of science, social network analysis, social engineering, image production, network visualization, reflexivity, informatization, 509025 Technikforschung, social network visualization, social technology, performativity, 509017 Wissenschaftsforschung, 509025 Technology studies, optimization, sociometry
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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