Blogviz Book:

This Master Thesis was published in October 2009, by VDM Verlag (one of the leading publishing houses of academic research).

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Blogviz was presented as a poster at InfoVis'05 Conference, at Minneapolis, Minnesota, in November 2005.

InfoVis is the IEEE Symposium on Information Visualization and the primary meeting in this field.
Copyright 2005 - Manuel Lima

General information about the current analyzed data
. It displays the total number of topics and the total number of blogs presently in Blogviz’s database.

Timeframe navigation
. This feature is still under development. Presently Blogviz is solely mapping the evolution of topics within the first 64 days of 2005, respectively, from January 1st to March 5th, 2005. However, Blogviz time span analysis is intended to grow in the future, and this area is reserved for its control and navigation.

Main visualization window
. It displays all the topics, represented by lines, their titles, total number of adopting blogs, peak day of diffusion, first and last day of spreading. The lines’ angles are representative of the topic’s life cycle or duration. The wider the angle, the shortest is its duration. As an example, when a topic line assumes a close to vertical alignment, it indicates that the represented topic has sustained for a short period of time. In opposition, when lines take a near horizontal position, it translates in an extended life cycle. Also, the default setting for the lines’ brightness is a reflection of the total number of adopting blogs. Brighter lines basically denote highly adopted topics. This last feature can be changed in the Visualization Settings (11), where one can also choose to see the lines’ brightness constrained by the average number of inbound links per blog.

Bottom visualization window
. This environment reflects whatever choice is made on the upper window, whenever a particular topic is selected by clicking its respective line. It can either display a topic evolution by daily incidence or rate of adoption. These options can be better understood by reading point (11) - Visualization Settings.

Topic Title
. This area has a button action that when pressed opens the topic URL in a new browser window.

Screenshot of the topic URL

First and Last blog
. This panel displays information regarding the first (innovator) and last (laggard) “known” blogs to adopt a topic. It specifies the blog title, date and time of adoption, type of generator, and number of inbound links (indicating its level of popularity)

Overall information about each topic
. This area shows the total number of adopting blogs, the total number of days (duration), the peak day of diffusion (date format) and the average number of links per blog (which reflects the topic’s popularity or level of authority), for every selected topic.

List of all generators by descending order.
It displays the generator name (either Blogger, MovableType, etc) and the corresponding number of blogs that use it, within the specified topic.

Top Innovators/Adopters
. This panel allows a quick view of the most popular topic adopters, popular generators, and popular innovators (not yet implemented). The overall numbers shown in this section are related to current data in Blogviz’s database. The Popular topic adopters’ option displays the name of the blog and the number of topics it has adopted. The Popular generators’ choice shows a basic ranking of generators used by all blogs in the database. Popular innovators will be organized by generator, and will display the number of topics in which a generator was used by its innovator (first adopting blog). This last preference will allow interesting results, as to understand if Blogger users, for example, are more or less innovative then LiveJournal users, and vice-versa. The options available in this area will continuously expand in the future.

Visualization Settings
. This panel is intended to control the visualization settings for Blogviz’s two main windows. The features included in this panel will expand in the future, but currently there are two possible options for each window.


On the top window, one may opt for the topic lines’ brightness to correspond to either the total number of adopting blogs (reflecting the highly adopted topics) or to the average number of inbound links per blog (which depicts the topic’s level of popularity or authority). As an example, there might be a topic that has been adopted by a large number of blogs, but its average number of links per blog might be very low; which basically means that the blogs who adopted this topic are not highly popular, therefore, decreasing the topic’s level of influence.

On the bottom window one can choose to analyze the topic evolution either by daily incidence (default preference) or by cumulative rate of adoption.

The following images demonstrate the different visualization settings for the same topic.

Top Window – Visualization settings – Lines’ brightness by Total number of adopting blogs

Top Window – Visualization settings – Lines’ brightness by Average number of links per blog

Bottom Window – Visualization settings – Topic Evolution by Daily Incidence

Bottom Window – Visualization settings – Topic Evolution by CumulativeRate of Adoption


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