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Context-Driven Social Network Visualisation: Case Wiki Co-Creation

Tutkimustuotosvertaisarvioitu

Standard

Context-Driven Social Network Visualisation: Case Wiki Co-Creation. / Huhtamäki, Jukka; Salonen, Jaakko; Marttila, Jarno; Nykänen, Ossi.

Proceedings of the Knowledge Federation 2010: Self-Organizing Collective Mind, October 3-6, 2010, Dubrovnik, Croatia. toim. / Dino Karabeg; Jack Park. 2010. s. 1-13.

Tutkimustuotosvertaisarvioitu

Harvard

Huhtamäki, J, Salonen, J, Marttila, J & Nykänen, O 2010, Context-Driven Social Network Visualisation: Case Wiki Co-Creation. julkaisussa D Karabeg & J Park (toim), Proceedings of the Knowledge Federation 2010: Self-Organizing Collective Mind, October 3-6, 2010, Dubrovnik, Croatia. Sivut 1-13.

APA

Huhtamäki, J., Salonen, J., Marttila, J., & Nykänen, O. (2010). Context-Driven Social Network Visualisation: Case Wiki Co-Creation. teoksessa D. Karabeg, & J. Park (Toimittajat), Proceedings of the Knowledge Federation 2010: Self-Organizing Collective Mind, October 3-6, 2010, Dubrovnik, Croatia (Sivut 1-13)

Vancouver

Huhtamäki J, Salonen J, Marttila J, Nykänen O. Context-Driven Social Network Visualisation: Case Wiki Co-Creation. julkaisussa Karabeg D, Park J, toimittajat, Proceedings of the Knowledge Federation 2010: Self-Organizing Collective Mind, October 3-6, 2010, Dubrovnik, Croatia. 2010. s. 1-13

Author

Huhtamäki, Jukka ; Salonen, Jaakko ; Marttila, Jarno ; Nykänen, Ossi. / Context-Driven Social Network Visualisation: Case Wiki Co-Creation. Proceedings of the Knowledge Federation 2010: Self-Organizing Collective Mind, October 3-6, 2010, Dubrovnik, Croatia. Toimittaja / Dino Karabeg ; Jack Park. 2010. Sivut 1-13

Bibtex - Lataa

@inproceedings{1eb2f60f5887472fba98abb2c82bf3bf,
title = "Context-Driven Social Network Visualisation: Case Wiki Co-Creation",
abstract = "Along social media and Web 2.0, the amount of data sources potentially available for social network visualisation has snowballed. Recent development on information visualisation technologies contribute to the availability of tools enabling visualisation of social media data. Yet, applying the tools in diff erent usage contexts is often diffcult. The data formats vary and many of the tools are platform-specific. Potential tools each have their strengths but often a single tool is not suffcient for covering all the aspects of analysis. In this paper, we describe the means of applying component-based information visualisation to streamline social network visualisation. Further, through our approach, we seek to narrow the gap between everyday knowledge work and visual social network analysis of the data that knowledge workers process. We acknowledge the need of programming skills in introducing the visualisations to different usage contexts but yet we see that teams of analysts can apply the approach when conducting network analysis in varying contexts. The main contributions of this article are the following: a description and an analysis of a streamlined social network visual analysis process and a brief review of the related applications and tools, based on the idea of conceptual integration of visual social network analysis and augmented browsing.",
author = "Jukka Huhtam{\"a}ki and Jaakko Salonen and Jarno Marttila and Ossi Nyk{\"a}nen",
note = "Contribution: organisation=mat hyplab,FACT1=1",
year = "2010",
language = "English",
pages = "1--13",
editor = "Dino Karabeg and Jack Park",
booktitle = "Proceedings of the Knowledge Federation 2010: Self-Organizing Collective Mind, October 3-6, 2010, Dubrovnik, Croatia",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Context-Driven Social Network Visualisation: Case Wiki Co-Creation

AU - Huhtamäki, Jukka

AU - Salonen, Jaakko

AU - Marttila, Jarno

AU - Nykänen, Ossi

N1 - Contribution: organisation=mat hyplab,FACT1=1

PY - 2010

Y1 - 2010

N2 - Along social media and Web 2.0, the amount of data sources potentially available for social network visualisation has snowballed. Recent development on information visualisation technologies contribute to the availability of tools enabling visualisation of social media data. Yet, applying the tools in diff erent usage contexts is often diffcult. The data formats vary and many of the tools are platform-specific. Potential tools each have their strengths but often a single tool is not suffcient for covering all the aspects of analysis. In this paper, we describe the means of applying component-based information visualisation to streamline social network visualisation. Further, through our approach, we seek to narrow the gap between everyday knowledge work and visual social network analysis of the data that knowledge workers process. We acknowledge the need of programming skills in introducing the visualisations to different usage contexts but yet we see that teams of analysts can apply the approach when conducting network analysis in varying contexts. The main contributions of this article are the following: a description and an analysis of a streamlined social network visual analysis process and a brief review of the related applications and tools, based on the idea of conceptual integration of visual social network analysis and augmented browsing.

AB - Along social media and Web 2.0, the amount of data sources potentially available for social network visualisation has snowballed. Recent development on information visualisation technologies contribute to the availability of tools enabling visualisation of social media data. Yet, applying the tools in diff erent usage contexts is often diffcult. The data formats vary and many of the tools are platform-specific. Potential tools each have their strengths but often a single tool is not suffcient for covering all the aspects of analysis. In this paper, we describe the means of applying component-based information visualisation to streamline social network visualisation. Further, through our approach, we seek to narrow the gap between everyday knowledge work and visual social network analysis of the data that knowledge workers process. We acknowledge the need of programming skills in introducing the visualisations to different usage contexts but yet we see that teams of analysts can apply the approach when conducting network analysis in varying contexts. The main contributions of this article are the following: a description and an analysis of a streamlined social network visual analysis process and a brief review of the related applications and tools, based on the idea of conceptual integration of visual social network analysis and augmented browsing.

M3 - Conference contribution

SP - 1

EP - 13

BT - Proceedings of the Knowledge Federation 2010: Self-Organizing Collective Mind, October 3-6, 2010, Dubrovnik, Croatia

A2 - Karabeg, Dino

A2 - Park, Jack

ER -