Strategic Intelligence Platform

Research in TB

by MA3X

Data schema

A data schema shows the types of links that exist between types of enteties. However, it may be deceiving simple, because any node may have multiple links to any other type of node.

Author and community

Author community palette (png)

Affiliation and cluster

A cluster is a grouping of communities. While the communities are generated by an algorithm, the clusters are created by a researcher after having inspected the communities.

Affiliations without location coordinates

Keywords

Author keyword co-occurence network (pdf)

Author keyword co-occurence network (svg)

Journal keyword co-occurence network (pdf)

Journal keyword co-occurence network (svg)

Topics

Source: Topic chart - publication/year

Source: Topic chart - top cited publications

Topic matrices

Author-keyword - topic

Source: Author-keyword / topic matrix

Source: Journal-Keyword / Topic Matrix

Author-community - topic

Source: Author-community - Topic (tsv)

No author community has any entries for subtopic 't1_s2'. The subtopic will therefore either not be displayed or produce an error. Reloading the page will restore the visualization.
Author communities are ordered by descending size: ["27","139","12","41","126","24","91","106","75","8","64","145","17","40","127"]

Affiliation-cluster - topic

Source: Affiliation-cluster - topic (tsv)

Citation network

A varity of algorithms are used to organise the network. There is nevertheless one overriding principle: time moves from left to right so the most recent is to the right. The time scale has furthermore been logarithmic scaled, so there are the most distance between nodes in the recent years. This allows us to allocate more space to the most recent years which has the highest density of research, while keeping older research within view.