SYSTEM AND METHOD FOR DETERMINING THE RELATIVE RANKING OF A NETWORK RESOURCE
The relative ranking of a network resource on a network in a distributed environment is determined. A networked system is configured to recognize and collect data representative of an activity regarding a network resource on a network site. The data is processed into a distributed statistical ranking to show real time resource rankings relative to at least a predefined subset of the network site.
1 . A method for determining the relative ranking of a network resource on a network in a distributed environment, comprising:
providing a networked system that is configured to recognize and collect data representative of an activity regarding a network resource on a network site; and
processing such data into a distributed statistical ranking to show real time resource rankings relative to at least a predefined subset of said network site.
2 . A method in accordance with claim 1 , wherein said network resource comprises one or more of a user, a user's content, a song, or a video.
3 . A method in accordance with claim 1 , wherein said data is viral influence data regarding the network resource.
4 . A method in accordance with claim 3 , further comprising:
providing a networked system that is configured to recognize an engagement of content by a user;
communicating data related to said engagement to a publishing service application upon user engagement with content, including an identity of a user, an identity of content interacted with, an engagement type and the identity of the previous user who directly influenced the content interaction; and
determining at said publishing service a likelihood that the interaction will cause other users to further interact with the content;
wherein upon a positive determination that the interaction will cause other users to further interact with the content, communicating said determination to a viral influence application.
5 . A method in accordance with claim 1 , wherein said data represents how a user interacts with some or all of the network site.
6 . A method in accordance with claim 1 , wherein said data represents how the network resource is interacted with by a user.
7 . A method in accordance with claim 6 , wherein said rankings indicate a user's ranking relative to other users, to a user's friends, or to one or more users over a period of time.
8 . A method in accordance with claim 1 , wherein said processing of said data is via one or more of Standard or Z-Score, Standard Deviation, or Percentile Ranking models to calculate a network resource percentile ranking against at least a portion of the network site.
9 . A method in accordance with claim 8 , wherein the network resource percentile ranking is calculated over a period of time to show an acceleration or a deceleration of the network resource.
10 . A method in accordance with claim 9 , wherein said period of time is selected from hourly, daily or weekly periods of time.
11 . A method in accordance with claim 1 , wherein said real time resource ranking is made across said network site in a regular defined time interval.
12 . A method in accordance with claim 1 , wherein said real time resource ranking is a measurement of the standard deviation and mean of a network resource engagement score across at least a portion of the network site.
13 . A method in accordance with claim 12 , wherein the mean value is calculated in parallel on plural profile databases at the same time, and wherein the mean value is adjusted against a percentage of population on each such database.
14 . A method in accordance with claim 12 , wherein the standard deviation value is calculated in parallel on plural profile databases at the same time, and wherein said calculation is used to produce a global standard deviation.
15 . A method in accordance with claim 12 , wherein a network resource's engagement score is plotted against a normal distribution derived from said standard deviation and mean, wherein as a network resource's engagement score increases, a network resource's position on a plotted curve also increases.
16 . A method in accordance with claim 15 , further comprising using historical data to correct inaccuracies in plotted positions between calculation cycles.
17 . A method in accordance with claim 1 , wherein said distributed statistical ranking is provided to a user in a user dashboard.
18 . A method in accordance with claim 1 , wherein a user is assigned a user level based upon said real time resource ranking.
19 . A method in accordance with claim 1 , wherein communications with network development, support or administrative personnel are allowed or prioritized for a user dependent upon the real time resource ranking of that user.
20 . A method in accordance with claim 1 , further comprising providing recommendations to users according to a system determination of resource engagements that are more likely to boost a user's relative ranking
21 . A method in accordance with claim 1 , wherein prizes or awards are provided to users based upon a user's relative ranking
22 . A method in accordance with claim 1 , wherein the real time resource ranking is increased by users with virtual points in a network, and wherein one or more virtual points may be temporarily applied by said users with a corresponding deficit in said user's virtual points amount.
23 . A method in accordance with claim 22 , wherein a user has a periodic allowance of such virtual points, which points at least partially recharge during or after said period.
24 . A system for determining the relative ranking of a network resource on a network in a distributed computer environment, the system comprising:
(a) a computer having a memory;
(b) an application executing on the computer, wherein the application is configured to:
(i) recognize and collect data representative of an activity regarding a network resource on a network site; and
(ii) process such data into a distributed statistical ranking to show real time resource rankings relative to at least a predefined subset of said network site.