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Understanding geo-social network pat...

Koylu, Caglar.

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Understanding geo-social network patterns: Computation, visualization, and usability.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Understanding geo-social network patterns: Computation, visualization, and usability./
作者:	Koylu, Caglar.
面頁冊數:	174 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-06(E), Section: B.
Contained By:	Dissertation Abstracts International76-06B(E).
標題:	Geographic information science and geodesy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3681316
ISBN:	9781321540123

Understanding geo-social network patterns: Computation, visualization, and usability.
Koylu, Caglar.

Understanding geo-social network patterns: Computation, visualization, and usability. - 174 p.

Source: Dissertation Abstracts International, Volume: 76-06(E), Section: B.

Thesis (Ph.D.)--University of South Carolina, 2014.

This item is not available from ProQuest Dissertations & Theses.

Geo-social networks are formed by flows of physical entities (e.g., humans, vehicles, sensors, animals), and communication (e.g., information, ideas, innovation) that connect places to places and individuals to individuals. Several major problems remain to be addressed for understanding the complex patterns in geo-social networks. This dissertation makes the following contributions to the theory and methodologies that aim at understanding complex geo-social data by integrating methods of computation, visualization and usability evaluation.

ISBN: 9781321540123Subjects--Topical Terms:

2122917
Geographic information science and geodesy.

Understanding geo-social network patterns: Computation, visualization, and usability.
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520 $a Geo-social networks are formed by flows of physical entities (e.g., humans, vehicles, sensors, animals), and communication (e.g., information, ideas, innovation) that connect places to places and individuals to individuals. Several major problems remain to be addressed for understanding the complex patterns in geo-social networks. This dissertation makes the following contributions to the theory and methodologies that aim at understanding complex geo-social data by integrating methods of computation, visualization and usability evaluation.
520 $a Chapter 2 introduces a novel network-based smoothing approach that addresses the size-difference and small area problem in calculating and mapping locational (graph) measures in spatial interaction networks. The new approach is a generic framework that can be used to smooth various graph measures which help examine multi-space and multi-scale characteristics of geo-social data.
520 $a Chapter 3 introduces a space-time visualization approach to discover spatial, temporal and relational patterns in a dynamic geo-social network embedded in space and time. By developing and visualizing a measure of connectedness across space and time, the new approach facilitates the discovery of hot spots (hubs, where connectedness is strong) and the changing patterns of such spots across space and time.
520 $a Chapter 4 introduces a series of user evaluations to obtain knowledge on how map readers perceive information presented with flow maps, and how design factors such as flow line style (curved or straight) and layout characteristics may affect flow map perception and users' performance in addressing different tasks for pattern exploration.
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