Systems and methods for detecting a peak in web traffic on an electronic network

1. A computer-implemented method for attributing web traffic to a corresponding media content item, the method comprising:

receiving a transmission of web traffic data from a server associated with a media content item provider, the traffic data comprising collected pixel tracking events of one or more web page visitors;

forming a graphical representation of the web traffic data versus time by plotting the tracked events of the one or more web page visitors across time values;

receiving a transmission of log data of a plurality of media content items related to the media content item provider;

accessing the web traffic data during a time period extending at least of one of before and after one of the plurality of media content items;

determining a variance from a trend line fit to the determined web traffic data;

disregarding web traffic data above a first value multiplied by the determined variance to determine a modified variance from the trend line;

designating a duration of time as a peak based on the modified variance, the peak beginning at the time when traffic data is above a high threshold line determined by multiplying the modified variance by a second value, and the peak ending at the time when traffic data is no longer above a low threshold line determined by multiplying the modified variance by a third value;

identifying an amount of traffic that is attributable to the one of the plurality of media content items as the traffic data within the duration of the peak; and

transmitting indicia of the identified amount of traffic that is attributable to the one of the plurality of media content items, to the media content item provider.

2. The method of claim 1 , wherein designating a duration of time as a peak further comprises:

determining at least one of points of traffic data above the modified variance multiplied by a first threshold value and points of traffic data above the modified variance time a second threshold value.

3. The method of claim 2 , wherein the designating a duration of time as a peak further comprises:

applying a Schmitt trigger, wherein the modified variance multiplied by the first threshold value is a low threshold and the modified variance multiplied by the second threshold value is a high threshold.

4. The method of claim 3 , wherein the first threshold value is 1 and the second threshold value is 3.5.

5. The method of claim 1 , further comprising:

iteratively determining the variance from the trend line fit to the determined web traffic data.

6. The method of claim 1 , wherein the value is 3.5.

7. The method of claim 1 , wherein identifying the amount of traffic that is attributable to the one of the plurality of media content items further comprises:

measuring an orthogonal distance between the trend line and an x-axis.

8. The method of claim 1 , wherein the time period extending at least one of before and after one of the plurality of media content items includes 30 minutes before and 60 minutes after the one of the plurality of media content items.

9. A computer system for evaluating user input relating to electronic published content, the computer system having a data storage device storing instructions for evaluating user input relating to electronic published content and a processor configured to execute the instructions stored on the data storage device for executing a series of steps, the steps comprising:

receiving a transmission of web traffic data from a server associated with a media content item provider, the traffic data comprising collected pixel tracking events of one or more web page visitors;

forming a graphical representation of the web traffic data versus time by plotting the tracked events of the one or more web page visitors across time values;

receiving a transmission of log data of a plurality of media content items related to the media content item provider;

accessing the web traffic data during a time period extending at least one of before and after one of the plurality of media content items;

determining a variance from a trend line fit to the determined web traffic data;

disregarding web traffic data above a first value multiplied by the determined variance to determine a modified variance from the trend line;

designating a duration of time as a peak based on the modified variance, the peak beginning at the time when traffic data is above a high threshold line determined by multiplying the modified variance by a second value, and the peak ending at the time when traffic data is no longer above a low threshold line determined by multiplying the modified variance by a third value;

identifying an amount of traffic that is attributable to the one of the plurality of media content items as the traffic data within the duration of the peak; and

transmitting indicia of the identified amount of traffic that is attributable to the one of the plurality of media content items, to the media content item provider.

10. The system of claim 9 , wherein designating a duration of time as a peak further comprises:

determining at least one of points of traffic data above the modified variance multiplied by a first threshold value and points of traffic data above the modified variance time a second threshold value.

11. The system of claim 10 , wherein the designating a duration of time as a peak further comprises:

applying a Schmitt trigger, wherein the modified variance multiplied by the first threshold value is a low threshold and the modified variance multiplied by the second threshold value is a high threshold.

12. The system of claim 11 , wherein the first threshold value is 1 and the second threshold value is 3.5.

13. The system of claim 9 , further comprising:

iteratively determining the variance from the trend line fit to the determined web traffic data.

14. The system of claim 9 , wherein the value is 3.5.

15. The system of claim 9 , wherein identifying the amount of traffic that is attributable to the one of the plurality of media content items further comprises:

measuring an orthogonal distance between the trend line and an x-axis.

16. The system of claim 9 , wherein the time period extending at least one of before and after one of the plurality of media content items includes 30 minutes before and 60 minutes after the one of the plurality of media content items.

17. A non-transitory computer-readable medium storing instructions that, when executed by a computer system, cause the computer system to perform a method, the method comprising:

receiving a transmission of web traffic data from a server associated with a media content item provider, the traffic data comprising collected pixel tracking events of one or more web page visitors;

forming a graphical representation of the web traffic data versus time by plotting the tracked events of the one or more web page visitors across time values;

receiving a transmission of log data of a plurality of media content items related to the media content item provider;

accessing the web traffic data during a time period extending at least one of before and after one of the plurality of media content items;

determining a variance from a trend line fit to the determined web traffic data;

disregarding web traffic data above a first value multiplied by the determined variance to determine a modified variance from the trend line;

designating a duration of time as a peak based on the modified variance, the peak beginning at the time when traffic data is above a high threshold line determined by multiplying the modified variance by a second value, and the peak ending at the time when traffic data is no longer above a low threshold line determined by multiplying the modified variance by a third value;

identifying an amount of traffic that is attributable to the one of the plurality of media content items as the traffic data above the trend line within the duration of the peak; and

transmitting indicia of the identified amount of traffic that is attributable to the one of the plurality of media content items, to the media content item provider.

18. The non-transitory computer-readable medium of claim 17 , wherein designating a duration of time as a peak further comprises:

determining at least one of points of traffic data above the modified variance multiplied by a first threshold value and points of traffic data above the modified variance time a second threshold value.

19. The non-transitory computer-readable medium of claim 18 , wherein the designating a duration of time as a peak further comprises:

applying a Schmitt trigger, wherein the modified variance multiplied by the first threshold value is a low threshold and the modified variance multiplied by the second threshold value is a high threshold.

20. The non-transitory computer-readable medium of claim 17 , wherein the time period extending at least one of before and after one of the plurality of media content items includes 30 minutes before and 60 minutes after the one of the plurality of media content items.