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Expanding and Evaluating Network Motif Simplification Expanding and Evaluating Network Motif Simplification

Expanding and Evaluating Network Motif Simplification - PowerPoint Presentation

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Expanding and Evaluating Network Motif Simplification - PPT Presentation

Cody Dunne and Ben Shneiderman cdunne ben csumdedu 30 th Annual HumanComputer Interaction Lab Symposium May 2223 2013 College Park MD Who Uses Network Analysis Network Analysis is Hard ID: 634127

simplification motif amp connector motif simplification connector amp network nodexl senate 2006 design shneiderman motifs ben dunne fan agreement

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Slide1

Expanding and Evaluating Network Motif Simplification

Cody Dunne and Ben Shneiderman{cdunne, ben}@cs.umd.edu30th Annual Human-Computer Interaction Lab Symposium, May 22–23, 2013 College Park, MDSlide2

Who Uses Network AnalysisSlide3

Network Analysis is HardSlide4

Better Layouts

Alternate Visualizations

Hachul

&

Jünger

,

2006

Navlakha

et

al, 2008

Graph Summarization

Gove et al,

2011; Henry

&

Fekete

,

2006; Dunne

et al,

2012;

Freire

et al,

2010; Wattenberg

, 2006Slide5

2: Motifs often dominate the visualization

3: Motifs members can be functionally equivalent

Observations

1: There are repeating patterns in networks (motifs)

Lostpedia

articlesSlide6

Motif Simplification

Fan Motif2-Connector MotifSlide7

Lostpedia

articlesSlide8

Lostpedia

articlesSlide9

Glyph Design: FanSlide10

Glyph Design: ConnectorSlide11

Glyph Design: General D-ConnectorSlide12

Connector VariantsSlide13

Cliques too!Slide14

Senate Co-Voting: 65% AgreementSlide15

Senate Co-Voting: 70% AgreementSlide16

Senate Co-Voting: 80% AgreementSlide17

Interactivity

Fan motif: 133 leaf vertices with head vertex “Theory”Slide18

Interactivity in NodeXLSlide19

Motif Detection Algorithms

FansO(N)ConnectorsHandle overlapping connectorsO(N * avg. neighbor count)CliquesOverlapping clique-finding algorithmsTomita et al., 2006; Eppstein & Strash, 2011Choice heuristicsO(3^(N/3))Slide20

Controlled ExperimentSlide21
Slide22
Slide23
Slide24

Wiki1 MS, senate MS,

Web2 more centralSlide25

Web 2 more centralSlide26

Motif Simplification Discussion

Motif simplification effective forReducing complexityUnderstanding larger or hidden relationshipsHoweverFrequent motifs may not be coveredGlyph design has tradeoffsMay be challenging at first for some tasksAvailable now in NodeXL: nodexl.codeplex.comSlide27

Funders

Social Media Research FoundationConnected Action Consulting GroupNational Science Foundation grant SBE 0915645Slide28

Motif Simplification

PapersDunne C & Shneiderman B (2013). Motif simplification: improving network visualization readability with fan, connector, and clique glyphs. In CHI '13. Shneiderman B & Dunne C (2012). Interactive network exploration to derive insights: Filtering, clustering, grouping, and simplification. In Graph Drawing '12.Available now in NodeXL: nodexl.codeplex.comCody Dunne, Ben Shneiderman{cdunne,ben}@cs.umd.edu