1	Network Visualization by Semantic Substrates Ben Shneiderman ben@cs.umd.edu Aleks Aris aris@cs.umd.edu Human-Computer Interaction Lab & Dept of Computer Science University of Maryland College Park, MD 20742
2	State-of-the-art network visualization
3
4	Node Placement Methods Node-link diagrams Force-directed layout Geographical map Circular layout Temporal layout Clustering Layouts based on node attributes (later) Matrix-based Tabular textual
5	Node Placement Methods Node-link diagrams Force-directed layout Geographical map Circular layout Temporal layout Clustering Layouts based on node attributes (later) Matrix-based Tabular textual
6	Node Placement Methods Node-link diagrams Force-directed layout Geographical map Circular layout Temporal layout Clustering Layouts based on node attributes (later) Matrix-based Tabular textual
7	Node Placement Methods Node-link diagrams Force-directed layout Geographical map Circular layout Temporal layout Clustering Layouts based on node attributes (later) Matrix-based Tabular textual
8	Node Placement Methods Node-link diagrams Force-directed layout Geographical map Circular layout Temporal layout Clustering Layouts based on node attributes (later) Matrix-based Tabular textual
9	Node Placement Methods Node-link diagrams Force-directed layout Geographical map Circular layout Temporal layout Clustering Layouts based on node attributes (later) Matrix-based Tabular textual
10	Node Placement Methods Node-link diagrams Force-directed layout Geographical map Circular layout Temporal layout Clustering Layouts based on node attributes (later) Matrix-based Tabular textual
11	Node Placement Methods Node-link diagrams Force-directed layout Geographical map Circular layout Temporal layout Clustering Layouts based on node attributes (later) Matrix-based Tabular textual
12	NetViz Nirvana
13	NetViz Nirvana
14	NetViz Nirvana 1) Every node is visible 2) For every node you can count its degree 3) For every link you can follow it from source to destination 4) Clusters and outliers are identifiable
15	NetViz Nirvana
16	NetViz Nirvana
17	"Group nodes into regions" Group nodes into regions According to an attribute Categorical, ordinal, or binned numerical
18	"Group nodes into regions" Group nodes into regions According to an attribute Categorical, ordinal, or binned numerical In each region: Place nodes according to other attribute(s)
19	"Group nodes into regions" Group nodes into regions According to an attribute Categorical, ordinal, or binned numerical In each region: Place nodes according to other attribute(s) Give users control of link visibility
20	Force Directed Layout
21	Network Visualization by
22	Filtering links by source-target
23	Filtering links by time attribute (1)
24	Filtering links by time attribute (2)
25	Overlapped Links
26	Three Regions Links from District Courts Indicates longevity of cases (short to long) District Circuit Supreme
27	Scalability
28	Using a third attribute in regions 13 circuits for both Circuit and District Courts Horizontally separated Reveals that links remain mostly within a circuit although there are some across (lateral citations)
29	"Advantages" Advantages Location conveys meaning Rapid visual identification of Different types of nodes Their relative number Missing nodes Connections between different groups of nodes Scalable for nodes and links Limitations Beyond 5 regions becomes challenging Node placement interferes with link aesthetics Control panel can get complex
30	Email To & CC list co-recipients
31	Foodwebs
32	"Group nodes into regions" Group nodes into regions According to an attribute Categorical, ordinal, or binned numerical In each region: Place nodes according to other attribute(s) Give users control of link visibility
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34	Challenges of Network Visualization C1) Basic networks: nodes and links C2) Node labels e.g. article title, book author, animal name C3) Link labels e.g. Strength of connection, type of link C4) Directed networks C5) Node attributes Categorical, Ordinal, Numerical C6) Link attributes Categorical, Ordinal, Numerical