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(b) TOKUGAWA Ieyasu - TAKEDA Katsuyori
(c) ODA Nobunaga - UESUGI Kenshin
(a) Network around
ODA Nobunaga at 1576
(d) ODA Nobunaga - ASHIKAGA Yoshiaki
Figure 8.9.
Details of temporal changes in relationships between people.
8 Related Work
There have been many studies on extracting networks of people from the
Web [7][8] or literature [3] on the basis of co-occurrence of extracted
named entities. Itsubo et al. extracted networks of historical people from
historical documents using co-occurring place names among people [10].
They also added labels to people in the network by using clustering results
of people. Akaishi et al. provided a system for visualizing networks of
terms from chronological data called WordColony [1]. However, these
researchers did not focus on extracting temporal changes in structures of
networks of people or characteristics of each relationship between people.
Moreover, most of them did not provide an interactive environment for
exploring extracted results.
Many systems and/or pieces of research have attempted to visualize
relationships between people in social networks [5] and co-authorship
networks [11][9][12]. BiblioViz [11] visualizes research topics using self-
organizing maps (SOM) to explore topics related to co-authorship
relationships. NeL2 [9] enables us to explore temporal changes
interactively in co-authorship relationships. In contrast, the proposed
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