Context: Concept map, an alternative concept developed in the Pinpoint project but never detailed.
Description: A suitably aggregated concept map based on mined organizational data is presented (1). On mouseover (2), a concept reveals people in the organization strongly connected to that concept, using a Sens-A-Patch style presentation. Selecting one of the names (3) highlights all concepts connected with that name, to facilitate further data exploration in a similar way (4).
Interesting: The interplay of concepts and people might provide a nice rapid flow. It might also come across as confusing and jerky.
Inspired by: Mainstream work on semantic aggregation in data mining.
Date: March 2008.
Context: 1+2, an alternative concept developed within the Pinpoint project but never detailed.
Description: People in the organization are plotted in one dimension chosen from the three key distances assumed to be mined from organizational data: subject distance (»ämne«), communicative distance (»komm«) and organizational distance (»org«). The two remaining dimensions are assigned to gauges used to filter the plot.
Interesting: Scatterplots in two dimensions combined with filters are known to facilitate discovery of certain relations in the data. It might be that a one-dimension plot with filters has similar qualities.
Inspired by: The seminal work on dynamic queries at Maryland in the early 1990s.
Date: March 2008.
Context: 2+1, an alternative concept developed in the Pinpoint project but never detailed.
Description: People in the organization are plotted in two dimensions chosen from the three key distances assumed to be mined from organizational data: subject distance (»ämne«), communicative distance (»komm«) and organizational distance (»org«). The third dimension is assigned to a gauge used to filter the plot.
Interesting: Scatterplot plus filter(s) is known to facilitate discovery of certain relations in the data.
Inspired by: The seminal work on dynamic queries at Maryland in the early 1990s.
Date: March 2008.
Context: Social Network, an alternative concept developed in the Pinpoint project but never detailed.
Description: People in the organization are presented in a social network, based on mined social data such a communication frequencies and buddy lists. Moreover, a list of content tags characterizing the people in the view is presented. When a person is selected (2a), all tags for that person are highlighted. When a tag is selected (2b), all people matching that tag are highlighted.
Interesting: The coupling of social data and topical tags seems to be somewhat promising.
Inspired by: The huge trend in visualizing social networks, combined with general dynamic-query ideas.
Date: March 2008.
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