Knowledge Management Visualization Electronic Communication Networks Communities of Practice Software |
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.. .. Commetrix is a Software Framework for Dynamic Network Visualization and Analysis. The software is around for about 15 years already but still works well for Social Network Analysis, in particular, when network data needs to be analyzed over time. Commetrix is currently FREE for non-commercial users and provides easy exploratory yet comprehensive access to network data and allows for:
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Exploration
and Analysis of Network Structures and Dynamics. Commetrix
is an exploratory analysis tool for dynamic network data. Its connectors
can conveniently read all sources of accessible network data, like
co-authorship or business process networks. Still, the focus is on
analyzing evolving patterns of electronic communication, including e mail,
discussions, voice over IP, and instant messaging. Technically, we extend
current SNA methods by blending social network analysis, dynamic graph
visualization, gestalt theory, and text mining with combinable search and
filter algorithms to achieve a social network intelligence tool. For
optimal organic graph layout, we developed a dynamic spring embedder with
nodebased dynamic temperatur control for realtime-rendered 2D and 3D
layouts. The resulting bird's eye views enable clients from industry and
research to easier cope with large heterogeneous networks. They can do
exploratory social network analysis, identify communities, elicit core
structures, observe evolving important actors, study the stability or
fragility of the network at hand, or observe how two networks integrate (e.g.
after a merger of discussion groups or organizations). With our added text
mining features, users can search a large network for topics and their
authors, filter out ego-networks, or watch animations of topics spreading
through parts of customer communities. Such results can also simply be
used to recommend or explore optimal contacts based on the topics of their
communication. Conventional SNA measures are computed for the complete
network and for selected parts. It can also be displayed in charts. In our
research, we show artefacts of static SNA measures and develop metrics for
patterns of network measures over time, i.e. topic trend indicators or
network stability or the fragility of a central actor's position. We
explore new means of measuring actors' importance in terms of their
networking activity (e.g. brokering actions). With Commetrix, the detailed
lifecycle of a communication network of thousands of simultaneously
changing relationships becomes observable.
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