Egocentric Analysis of Dynamic Networks with EgoLines Jian Zhao, - - PowerPoint PPT Presentation

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egocentric analysis of dynamic networks with egolines
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Egocentric Analysis of Dynamic Networks with EgoLines Jian Zhao, - - PowerPoint PPT Presentation

Nov 15, 2022 209 likes •481 views

Egocentric Analysis of Dynamic Networks with EgoLines Jian Zhao, Michael Glueck, Fanny Chevalier, Yanhong Wu, Azam Khan Dynamic Networks Time 2 Year 1 Year 2 3 Egocentric Analysis My co-authors co-author Me My co-author 4

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Egocentric Analysis of Dynamic Networks with EgoLines

Jian Zhao, Michael Glueck, Fanny Chevalier, Yanhong Wu, Azam Khan

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Dynamic Networks

2

…

Time

…

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SLIDE 3

Year 1 Year 2

3

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Egocentric Analysis

My co-author

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Me My co-author’s co-author

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Egocentric Analysis

Me My co-author My co-author’s co-author

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Ego 1st level alter 2nd level alter

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Node-link diagrams

[Bach et al., 2014]

Matrices

[Bach et al., 2013]

Animation

[van den Elzen et al., 2013]

Projection

6

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SLIDE 7

Node-link diagrams

[Bach et al., 2014]

Matrices

[Bach et al., 2013]

Animation

[van den Elzen et al., 2013]

Projection

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❌ Hard to track changes ❌ High cognitive load ❌ Not suitable for sparse dynamic networks ❌ Missing topological information

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Dynamic ego-network analysis questions

  • Joining, leaving, and recurrence of a co-author?
  • Connectivity to the focal author (ego)?
  • Splitting and merging of co-author communities (clusters)?
  • Stability of co-authorships?
  • …

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Based on [Lee et al., 2006] and [Ahn et al., 2014]

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The focal author (ego)

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A co-author (alter) The focal author (ego)

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Missing in a year

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A connection

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Co-author clusters

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Co-author clusters

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1st level co-authors 2nd level co-authors

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EgoLines

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Controlled user study

  • 18 participants
  • 13 males and 5 females
  • 13 analytical tasks (2 categories)
  • T

emporal analysis, topological analysis

  • 3 techniques
  • EgoLines (EL), node-links (NL), small multiples (SM)
  • 1 dataset
  • IEEE

VIS conferences co-authorship networks

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Node-links (NL) Small multiples (SM)

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Main take-away

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Overall Temporal analysis Topological analysis > >

Time

~ >

Accuracy

> >

Time

> >

Accuracy

> ~

Finding bridges

> >

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Domain expert evaluation

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Limitations and future work

  • More effective overview
  • Reduce visual clutter
  • Handle larger ego-networks
  • Multi-scale aggregation of lines
  • More experiments
  • On other datasets and applications
  • Shed light on facilitating the bridges-finding task

26

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Egocentric Analysis of Dynamic Networks with EgoLines

Jian Zhao, Michael Glueck, Fanny Chevalier, Yanhong Wu, Azam Khan Contact: jian.zhao@autodesk.com Web: http://jeffjianzhao.github.io/