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We introduce an Agent-Based Model to reconstruct communication in the Republic of Letters. We build from earlier research modelling online forums and apply this methodology to a context where scientists exchange letters to express their findings and beliefs. We use the model to create artificial networks and compare them to empirical data.
Paper, bibliographic analysis, Short Presentation, Historical Correspondence, History of science, Agent-Based Model, network analysis and graphs theory and application, Socio-Epistemic Network, Republic of Letters, Communication studies
Paper, bibliographic analysis, Short Presentation, Historical Correspondence, History of science, Agent-Based Model, network analysis and graphs theory and application, Socio-Epistemic Network, Republic of Letters, Communication studies
citations 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). | 0 | |
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. | Average | |
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. | Average |
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