In this paper, we present two approaches developed to visually analyze and find patterns in a communication network. The work was done for the VAST 2015 Mini-Challenge 2 (MC2), featuring a dataset with records of timestamps as well as identification of sender and receiver of text messages. Further information included the location from which a message was sent in the fictional amusement park. In the first approach, we present the data preprocessing pipeline we used for a custom visualization. In the second approach, we present how we used available data preprocessing and visualization software to get a quick and clear overview of the problem, and how we used the generated findings to feed our custom visualizations.publishe
When exploring a data stream it is natural to ask how to relate current stream snapshots to past sna...
This paper presents a new interactive platform for visual analytics of large networks and graphs. Th...
We live in a data driven age. Now, there is more data available than at any point in time before. Ho...
Analyzing and correlating movement and communication data is challenging. To gather insights and gai...
Social Media is a very good example of a large communication network. Typically, most data generated...
Temporal networks are widely used to map phenomena into complex systems in several research discipli...
Data on modern networks are massive and are applied in the area of monitoring and analyzing activiti...
Communication consists of both meta-information as well as content. Currently, the automated analysi...
As devices no longer function in isolation, opportunities will emerge for synergies to be created be...
Network analysis is an important task in a wide variety of application domains including analysis of...
As communication networks increase in performance and complexity, and more de- pendence is placed up...
Network science has become increasingly popular over the last several years as people have realized ...
We introduce CommViz, an information visualization tool that enables complex communication networks ...
Executions of modern parallel programs often yield complex communications among compute nodes of lar...
Visual discovery of network patterns of interaction between attributes in a data set identifies emer...
When exploring a data stream it is natural to ask how to relate current stream snapshots to past sna...
This paper presents a new interactive platform for visual analytics of large networks and graphs. Th...
We live in a data driven age. Now, there is more data available than at any point in time before. Ho...
Analyzing and correlating movement and communication data is challenging. To gather insights and gai...
Social Media is a very good example of a large communication network. Typically, most data generated...
Temporal networks are widely used to map phenomena into complex systems in several research discipli...
Data on modern networks are massive and are applied in the area of monitoring and analyzing activiti...
Communication consists of both meta-information as well as content. Currently, the automated analysi...
As devices no longer function in isolation, opportunities will emerge for synergies to be created be...
Network analysis is an important task in a wide variety of application domains including analysis of...
As communication networks increase in performance and complexity, and more de- pendence is placed up...
Network science has become increasingly popular over the last several years as people have realized ...
We introduce CommViz, an information visualization tool that enables complex communication networks ...
Executions of modern parallel programs often yield complex communications among compute nodes of lar...
Visual discovery of network patterns of interaction between attributes in a data set identifies emer...
When exploring a data stream it is natural to ask how to relate current stream snapshots to past sna...
This paper presents a new interactive platform for visual analytics of large networks and graphs. Th...
We live in a data driven age. Now, there is more data available than at any point in time before. Ho...