An interactive visualization interface for studying egocentric, categorical, contact diary datasets

Chris Bryan; Kwan-Liu Ma; Yang Chih Fu

doi:10.1145/2492517.2492636

An interactive visualization interface for studying egocentric, categorical, contact diary datasets

Chris Bryan, Kwan-Liu Ma, Yang Chih Fu

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Contact diaries are interpersonal communication logs which are obtained in sociological and epidemiological studies. These logs can be used to study the social patterns of communities over a period of time. A dataset composed of diaries maps well to a set of one-tiered, categorical, independent and egocentric networks. This paper presents an interface for visualization and analysis of contact diaries datasets using an interactive radial mapping scheme, with case studies illustrating a standard workflow using the application. We facilitate individual diary analysis, multi-dataset comparison, and an overlay interface for investigating a set of many diaries in a singular space. With this interface, network researchers can utilize visualization to enhance their analysis of contact diaries.

Original language	English (US)
Title of host publication	Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
Publisher	Association for Computing Machinery
Pages	771-778
Number of pages	8
ISBN (Print)	9781450322409
DOIs	https://doi.org/10.1145/2492517.2492636
State	Published - Jan 1 2013
Event	2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013 - Niagara Falls, ON, Canada Duration: Aug 25 2013 → Aug 28 2013

Other

Other	2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
Country/Territory	Canada
City	Niagara Falls, ON
Period	8/25/13 → 8/28/13

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

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10.1145/2492517.2492636

Cite this

An interactive visualization interface for studying egocentric, categorical, contact diary datasets. / Bryan, Chris; Ma, Kwan-Liu; Fu, Yang Chih.

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, 2013. p. 771-778.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bryan, C, Ma, K-L & Fu, YC 2013, An interactive visualization interface for studying egocentric, categorical, contact diary datasets. in Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, pp. 771-778, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, Niagara Falls, ON, Canada, 8/25/13. https://doi.org/10.1145/2492517.2492636

@inproceedings{09d75262c5454a5cba0e4652f1460ecb,

title = "An interactive visualization interface for studying egocentric, categorical, contact diary datasets",

abstract = "Contact diaries are interpersonal communication logs which are obtained in sociological and epidemiological studies. These logs can be used to study the social patterns of communities over a period of time. A dataset composed of diaries maps well to a set of one-tiered, categorical, independent and egocentric networks. This paper presents an interface for visualization and analysis of contact diaries datasets using an interactive radial mapping scheme, with case studies illustrating a standard workflow using the application. We facilitate individual diary analysis, multi-dataset comparison, and an overlay interface for investigating a set of many diaries in a singular space. With this interface, network researchers can utilize visualization to enhance their analysis of contact diaries.",

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AB - Contact diaries are interpersonal communication logs which are obtained in sociological and epidemiological studies. These logs can be used to study the social patterns of communities over a period of time. A dataset composed of diaries maps well to a set of one-tiered, categorical, independent and egocentric networks. This paper presents an interface for visualization and analysis of contact diaries datasets using an interactive radial mapping scheme, with case studies illustrating a standard workflow using the application. We facilitate individual diary analysis, multi-dataset comparison, and an overlay interface for investigating a set of many diaries in a singular space. With this interface, network researchers can utilize visualization to enhance their analysis of contact diaries.

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An interactive visualization interface for studying egocentric, categorical, contact diary datasets

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