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This software project collects tools to build, cluster, analysis and visualize social, semiotic or semantic layers from text corpora. The release 0.1.3 contains two main methods for network creation Create a multilayer network from publications using Ngram-scoring Build longitudinal cocitation networks and cluster to uncover e.g. fields of research Consult the documentation here for details. The development is part of the research project ModelSEN Socio-epistemic networks: Modelling Historical Knowledge Processes, part of Department I of the Max Planck Institute for the History of Science and funded by the Federal Ministry of Education and Research, Germany (Grant No. 01 UG2131).
semantic networks
semantic networks
| 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). | 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 |
| views | 19 | |
| downloads | 1 |

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