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Related Concept Videos

Multiple Bar Graph01:07

Multiple Bar Graph

As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
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Time-Series Graph

A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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pV-Diagrams

The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
Bar Graph01:07

Bar Graph

A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
Graphs of Functions01:30

Graphs of Functions

Graphs of functions provide a visual representation of how output values change in response to varying inputs. Each point on the graph corresponds to an ordered pair, where the x-coordinate (independent variable) determines the horizontal position and the y-coordinate (dependent variable) determines the vertical position. Linear functions like y = x give a straight line, indicating a constant rate of change.Nonlinear functions display more complex behaviors. Even power functions generate...
Scatter Plot01:15

Scatter Plot

The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:

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PIWI: visually exploring graphs based on their community structure.

Jing Yang1, Yujie Liu, Xin Zhang

  • 1Department of Computer Science, College of Computing and Informatics, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC 28223-0001, USA. Jing.Yang@uncc.edu

IEEE Transactions on Visualization and Computer Graphics
|August 22, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces PIWI, a visual analytics approach for analyzing complex networks. PIWI offers uncluttered visualizations and novel interactions for community-related graph analysis tasks.

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Area of Science:

  • Computer Science
  • Data Visualization
  • Network Analysis

Background:

  • Real-world networks exhibit community structures with dense intra-group connections and sparse inter-group connections.
  • Analyzing these community structures is crucial for knowledge discovery tasks like relationship identification and attribute-structure analysis.
  • Traditional graph visualization methods often struggle with clutter and lack of interactivity, hindering effective analysis.

Purpose of the Study:

  • To propose PIWI, a novel visual analytics approach for community-related graph analysis.
  • To overcome the limitations of traditional Node-Link Diagrams (NLDs) in handling complex network structures.
  • To facilitate tasks such as discovering relationships among communities and identifying attribute-structure relationships.

Main Methods:

  • Developed PIWI, a visual analytics approach utilizing coordinated, uncluttered visualizations.
  • Employed novel interactions specifically designed for graph community structures.
  • Replaced traditional Node-Link Diagrams (NLDs) with the PIWI system.
  • Conducted case studies and preliminary user studies on real-world graphs.

Main Results:

  • PIWI provides coordinated and uncluttered visualizations tailored to community structures.
  • The approach introduces novel interactions that enhance the analysis of graph communities.
  • Case studies and user studies demonstrated PIWI's effectiveness in community-related tasks.
  • PIWI offers a viable alternative to traditional graph visualization techniques for complex networks.

Conclusions:

  • PIWI is a useful visual analytics approach for tasks involving graph community structures.
  • The system effectively addresses the clutter and interactivity issues of traditional methods.
  • Further investigation into the applicability and limitations of PIWI is warranted.