TieVis: Visual analytics of evolution of interpersonal ties

Tao Lin; Fangzhou Guo; Yingcai Wu; Biao Zhu; Fan Zhang; Huamin Qu; Wei Chen

doi:10.1007/978-3-319-40259-8_36

TieVis: Visual analytics of evolution of interpersonal ties

Tao Lin, Fangzhou Guo, Yingcai Wu, Biao Zhu, Fan Zhang, Huamin Qu, Wei Chen^*

^*Corresponding author for this work

Academy of Interdisciplinary Studies

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

3 Citations (Scopus)

Abstract

Interpersonal ties, such as strong ties and weak ties, describe the information carried by an edge in social network. Tracking the dynamic changes of interpersonal ties can thus enhance our understanding of the evolution of a complex network. Nevertheless, existing studies in dynamic network visualization mostly focus on the temporal changes of nodes or structures of the network without an adequate support of analysis and exploration of the temporal changes of interpersonal ties. In this paper, we introduce a new visual analytics method that enables interactive analysis and exploration of the dynamic changes of interpersonal ties. The method integrates four well-linked visualizations, including a scatterplot, a pixelbar chart, a layered graph, and a node-link diagram, to allow for multi-perspective analysis of the evolution of interpersonal ties. The scatterplot created by multi-dimensional scaling can help reveal the clusters of ties and detect abnormal ties, while other visualizations allow users to explore the clusters of ties interactively from different perspectives. A case study has been conducted to demonstrate the effectiveness of our approach.

Original language	English
Title of host publication	E-Learning and Games - 10th International Conference, Edutainment 2016, Revised Selected Papers
Editors	Feng Tian, Abdennour El Rhalibi, Zhigeng Pan, Baoquan Liu
Publisher	Springer Verlag
Pages	412-424
Number of pages	13
ISBN (Print)	9783319402581
DOIs	https://doi.org/10.1007/978-3-319-40259-8_36
Publication status	Published - 2016
Event	10th International Conference on E-Learning and Games, Edutainment 2016 - Hangzhou, China Duration: 14 Apr 2016 → 16 Apr 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9654
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on E-Learning and Games, Edutainment 2016
Country/Territory	China
City	Hangzhou
Period	14/04/16 → 16/04/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

Keywords

Interpersonal ties
Visual analytics
Visualization

Access to Document

10.1007/978-3-319-40259-8_36

Cite this

Lin, T., Guo, F., Wu, Y., Zhu, B., Zhang, F., Qu, H., & Chen, W. (2016). TieVis: Visual analytics of evolution of interpersonal ties. In F. Tian, A. El Rhalibi, Z. Pan, & B. Liu (Eds.), E-Learning and Games - 10th International Conference, Edutainment 2016, Revised Selected Papers (pp. 412-424). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9654). Springer Verlag. https://doi.org/10.1007/978-3-319-40259-8_36

Lin, Tao ; Guo, Fangzhou ; Wu, Yingcai et al. / TieVis : Visual analytics of evolution of interpersonal ties. E-Learning and Games - 10th International Conference, Edutainment 2016, Revised Selected Papers. editor / Feng Tian ; Abdennour El Rhalibi ; Zhigeng Pan ; Baoquan Liu. Springer Verlag, 2016. pp. 412-424 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "TieVis: Visual analytics of evolution of interpersonal ties",

abstract = "Interpersonal ties, such as strong ties and weak ties, describe the information carried by an edge in social network. Tracking the dynamic changes of interpersonal ties can thus enhance our understanding of the evolution of a complex network. Nevertheless, existing studies in dynamic network visualization mostly focus on the temporal changes of nodes or structures of the network without an adequate support of analysis and exploration of the temporal changes of interpersonal ties. In this paper, we introduce a new visual analytics method that enables interactive analysis and exploration of the dynamic changes of interpersonal ties. The method integrates four well-linked visualizations, including a scatterplot, a pixelbar chart, a layered graph, and a node-link diagram, to allow for multi-perspective analysis of the evolution of interpersonal ties. The scatterplot created by multi-dimensional scaling can help reveal the clusters of ties and detect abnormal ties, while other visualizations allow users to explore the clusters of ties interactively from different perspectives. A case study has been conducted to demonstrate the effectiveness of our approach.",

keywords = "Interpersonal ties, Visual analytics, Visualization",

author = "Tao Lin and Fangzhou Guo and Yingcai Wu and Biao Zhu and Fan Zhang and Huamin Qu and Wei Chen",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 10th International Conference on E-Learning and Games, Edutainment 2016 ; Conference date: 14-04-2016 Through 16-04-2016",

year = "2016",

doi = "10.1007/978-3-319-40259-8\_36",

language = "English",

isbn = "9783319402581",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "E-Learning and Games - 10th International Conference, Edutainment 2016, Revised Selected Papers",

}

Lin, T, Guo, F, Wu, Y, Zhu, B, Zhang, F, Qu, H & Chen, W 2016, TieVis: Visual analytics of evolution of interpersonal ties. in F Tian, A El Rhalibi, Z Pan & B Liu (eds), E-Learning and Games - 10th International Conference, Edutainment 2016, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9654, Springer Verlag, pp. 412-424, 10th International Conference on E-Learning and Games, Edutainment 2016, Hangzhou, China, 14/04/16. https://doi.org/10.1007/978-3-319-40259-8_36

TieVis: Visual analytics of evolution of interpersonal ties. / Lin, Tao; Guo, Fangzhou; Wu, Yingcai et al.
E-Learning and Games - 10th International Conference, Edutainment 2016, Revised Selected Papers. ed. / Feng Tian; Abdennour El Rhalibi; Zhigeng Pan; Baoquan Liu. Springer Verlag, 2016. p. 412-424 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9654).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - TieVis

T2 - 10th International Conference on E-Learning and Games, Edutainment 2016

AU - Lin, Tao

AU - Guo, Fangzhou

AU - Wu, Yingcai

AU - Zhu, Biao

AU - Zhang, Fan

AU - Qu, Huamin

AU - Chen, Wei

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Interpersonal ties, such as strong ties and weak ties, describe the information carried by an edge in social network. Tracking the dynamic changes of interpersonal ties can thus enhance our understanding of the evolution of a complex network. Nevertheless, existing studies in dynamic network visualization mostly focus on the temporal changes of nodes or structures of the network without an adequate support of analysis and exploration of the temporal changes of interpersonal ties. In this paper, we introduce a new visual analytics method that enables interactive analysis and exploration of the dynamic changes of interpersonal ties. The method integrates four well-linked visualizations, including a scatterplot, a pixelbar chart, a layered graph, and a node-link diagram, to allow for multi-perspective analysis of the evolution of interpersonal ties. The scatterplot created by multi-dimensional scaling can help reveal the clusters of ties and detect abnormal ties, while other visualizations allow users to explore the clusters of ties interactively from different perspectives. A case study has been conducted to demonstrate the effectiveness of our approach.

AB - Interpersonal ties, such as strong ties and weak ties, describe the information carried by an edge in social network. Tracking the dynamic changes of interpersonal ties can thus enhance our understanding of the evolution of a complex network. Nevertheless, existing studies in dynamic network visualization mostly focus on the temporal changes of nodes or structures of the network without an adequate support of analysis and exploration of the temporal changes of interpersonal ties. In this paper, we introduce a new visual analytics method that enables interactive analysis and exploration of the dynamic changes of interpersonal ties. The method integrates four well-linked visualizations, including a scatterplot, a pixelbar chart, a layered graph, and a node-link diagram, to allow for multi-perspective analysis of the evolution of interpersonal ties. The scatterplot created by multi-dimensional scaling can help reveal the clusters of ties and detect abnormal ties, while other visualizations allow users to explore the clusters of ties interactively from different perspectives. A case study has been conducted to demonstrate the effectiveness of our approach.

KW - Interpersonal ties

KW - Visual analytics

KW - Visualization

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UR - https://openalex.org/W2478629030

UR - https://www.scopus.com/pages/publications/84976616239

U2 - 10.1007/978-3-319-40259-8_36

DO - 10.1007/978-3-319-40259-8_36

M3 - Conference Paper published in a book

SN - 9783319402581

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 412

EP - 424

BT - E-Learning and Games - 10th International Conference, Edutainment 2016, Revised Selected Papers

A2 - Tian, Feng

A2 - El Rhalibi, Abdennour

A2 - Pan, Zhigeng

A2 - Liu, Baoquan

PB - Springer Verlag

Y2 - 14 April 2016 through 16 April 2016

ER -

Lin T, Guo F, Wu Y, Zhu B, Zhang F, Qu H et al. TieVis: Visual analytics of evolution of interpersonal ties. In Tian F, El Rhalibi A, Pan Z, Liu B, editors, E-Learning and Games - 10th International Conference, Edutainment 2016, Revised Selected Papers. Springer Verlag. 2016. p. 412-424. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-40259-8_36

TieVis: Visual analytics of evolution of interpersonal ties

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Keywords

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