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Charge strength: {{charge}} Link distance: {{linkdistance}} Re-Render Graph

User guide
Source code

Clusters exhibit similarity between multiple paradigms. The following list shows the top 200 context-words among all nodes. The score is the normalized cumulated significance of the word for the cluster.

Selected node: {{node.id}}

Current cluster: {{ node.cluster_name }}, (ID: {{node.cluster_id}})
Select new cluster: {{new_assigned_cluster.cluster_name}}
Selected node: {{node.id}}

Create a new cluster

Customize Thresholds
Small radius for nodes with centrality score: 0.0 - {{centrality_threshold_s}}:
Medium radius for nodes with centrality score: {{centrality_threshold_s}} - {{centrality_threshold_m}}:
Large radius for nodes with centrality score over {{centrality_threshold_m}}

Highlight central nodes in graph Customize highlighting thresholds Reset highlighting List centrality node scores
Assign to different cluster Create new cluster Delete node
Highlight nodes between clusters Reset highlighting List nodes
The neighbourhood of a node is balanced, if there are at least two clusters in the node's neighbourhood for which
max - d_i < mean / 2
holds true.
  • max: the max number of nodes from the same cluster
  • d_i: the number of nodes of cluster i
  • mean: the mean number of nodes of a neighbouring cluster


Hover and Click here Cluster: {{ cluster.cluster_name }}

Number of nodes: {{cluster.labels.length}}


Are you sure you want to delete the cluster "{{ cluster.cluster_name }}"?

{{ label.text }}

Singletons ({{singletons.length}})



Select an interval for time diff:

{{start_year}} - - - {{end_year}}

Show Difference
__HOVER_HERE__ Dead or dying nodes
Died before interval
{{ node }}
Dies in interval
{{ node }}
__HOVER_HERE__Shortlived nodes
Occurs only during interval
{{ node }}
__HOVER_HERE__ New born nodes
Born in interval
{{ node }}
Born after interval
{{ node }}
__HOVER_HERE__ Stable nodes
Occurs throughout
{{ node }}
Occurs before and after
{{ node }}
Current time slice: {{ time_slice_from_interval }}

Edges represent a strong similarity between two paradigms. The [max] similarity between (Node1) {{active_edge.source_text}} and (Node2) {{active_edge.target_text}} occured in the interval: {{ selectIntervalWithActive () }}. The scores below represent the significance of the context-word for each paradigm.

The target word (node1) {{target_word}} is related to (node2) {{active_node.target_text}} most strongly in time-slot {{active_node.time_ids[0]}}. They share the below context-words in this time-slot. The scores represent the significance of the context-word for each paradigm.

Select a .json file to render graph from Render Close
Useful links
View on GitHub
View User Guide

Select SVG size
WARNING: Please set before rendering a graph. Changes to the size of the svg after rendering a graph will act like a zoom function.

Link Thickness Calculation
Calculate edge thinkness with respect to the similarity score between neighbours
Scale the similarity score using sqrt(similatity score / x), x being:
Use same thickness for every link
Thickness in pixels: