Topic Overview Page
If you are having trouble viewing the Social Media Command Center, please read the article titled Browser Requirements for more information.
Once you are logged in, your browser will direct you to the Topic Overview page for the SMCC. The first aspect of this page to take note of is in the upper right hand corner of the screen. Here there are two links under your username. The first is used to log you out of the system. The second, labeled 'Support,' when clicked, will open the InTTENSITY Support Portal in a new window. For information on how to utilize our customer service system and contact InTTENSITY with any comments, problems, or questions, read the Knowledge Base Article titled Customer Support.
On the left side of the screen, you will see a list of the created topics. Clicking a topic will pull up that topic’s profile.
Each profile contains some valuable information for its respective topic. First under the heading is the Query Box. This area shows the rules and entities that define the topic. You can use this space to make additions and corrections to existing rules. We will discuss syntax and the creation of rules in this article. The Rate Box shows the current rate of data for the topic in kdocs/h. The Trend Box shows the value of the trend of the data, a percent of historical increase or decrease of data. A positive value indicates the topic is growing in popularity, while a negative value signifies a decrease in popularity.
Following the Query Box is a pair of graphs. The first graph is a line graph of the number of documents per hour for the past week. The teal line shows the actual data accumulated, while the gray shows the average, or expected value for that time on the graph. The expected value is calculated on an hourly basis. For more information, please see the FAQ article's section on the topic. When a topic is new, the expected value coincides with the actual rate because no data as been aggregated yet to disturb this balance.
The second graph is a bar graph of the difference between the expected value and the actual value for each time on the graph over the past week. Whenever the actual value falls below the expected value, the difference is represented by a red bar, which shows the negative value of the difference. Whenever the actual value is greater than the expected value, the difference is shown as a green bar. The dark blue line across the graph shows the trend in the difference over the time period.
Below the tow volume-based graphs are the Hashtags Graph and the Countries Graph. These show trending hashtags and countries for the past week of data. Clicking on the individual icons shown beneath either graph will toggle them on and off. Clicking 'Show None' will turn all icons off, and clicking 'Show All' will turn all icons listed on. The line graph in these graphics, in accordance with the ones above it, shows the data in documents per hour.
In each of these graphs, you can view the values at any given point on the plot by hovering your cursor over that point in the graph. A box will appear that will show the exact time and documents per hour for the selected coordinate. In addition, clicking on any point in the graphs will take you to the Live Feed for the topic at that point in history. Using this feature, when you see a spike in the historical data, you can click on the point in the graph and see data for that event, including what users were posting about, how long the spike lasted, and more.
In addition to viewing the exact values at any point in time, hovering your cursor over a graph on this page also produces a 'save' icon in the upper right corner of the graph. Depending on your browser choice, clicking this icon will open a new window with an exported version of the graph selected. In this view, you can right-click to save the image to your desktop. For more on exporting graphs, please read Exporting Graphs.
The icons under the Query Box are an aid in managing topics. For more information on topic management, read this article.
To continue to the real-time aggregation of data and further statistics for a particular topic, click the header of its section to view the topic’s Live Feed Page.
Article ID: 2, Created On: 1/30/2012, Modified: 3/28/2012