Social Net Advocacy for Providing Categorical Analysis of User Generated Content
A method and system are disclosed for providing categorical analysis of user interactions within a social media environment. Social media interactions are monitored, collected, and processed to generate social network advocacy (SNA) analyses, which are in turn processed to categorize associated SNA data into predetermined SNA categories. Analysis operations are then performed on the resulting categorized SNA data to generate an SNA value for each of the SNA categories, along with associated statistical analyses, which are then used to provide the basis for proactive marketing response responses within one or more social media environments.
1 . A computer-implementable method for providing categorical analysis of user interactions within a social media environment, comprising:
receiving a first set of social network advocacy (SNA) data associated with a first conversation conducted within a social media environment;
processing the first set of SNA data to generate a first set of SNA analysis data;
processing the first set of SNA data and the first set of SNA analysis data to generate a set of first SNA data subsets;
performing a first set of association operations to associate individual first SNA data subsets with individual SNA categories of a set of SNA categories; and
processing the individual first SNA data subsets associated with each individual SNA category to generate a first set of SNA category values respectively corresponding to the individual SNA categories.
2 . The method of claim 1 , wherein:
a second set of SNA data is received, the second set of SNA data associated with a second conversation conducted within a social media environment;
the second set of SNA data is processed to generate a second set of SNA analysis data;
the second set of SNA data is processed with the second set of SNA analysis data to generate a set of second SNA data subsets;
a second set of association operations is performed to associate individual second SNA data subsets with individual categories of the set of SNA categories; and
the individual second SNA data subsets associated with each individual SNA category are processed to generate a second set of SNA category values respectively corresponding to the individual SNA categories.
3 . The method of claim 2 , wherein:
the first set of SNA category values is associated with a first time interval, and
the second set of SNA category values is associated with a second time interval.
4 . The method of claim 3 , wherein:
the first set of SNA category values is processed to generate a first aggregate SNA category value; and
the second set of SNA category values is processed to generate a second aggregate SNA category value.
5 . The method of claim 4 , wherein:
the first and second sets of SNA category values are processed to generate a corresponding set of SNA category variance values; and
the first and second Aggregate SNA category values are processed to generate an aggregate SNA category variance value.
6 . The method of claim 5 , wherein SNA category data is provided within a window of a user interface, the SNA category data comprising at least one of the set of:
the first set of SNA category values;
the second set of SNA category values;
the first aggregate SNA category value;
the second aggregate SNA category value;
the set of SNA category variance values; and
the aggregate SNA category variance value.
7 . A system comprising:
a processor;
a data bus coupled to the processor; and
a computer-usable medium embodying computer program code, the computer-usable medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
receiving a first set of social network advocacy (SNA) data associated with a first conversation conducted within a social media environment;
processing the first set of SNA data to generate a first set of SNA analysis data;
processing the first set of SNA data and the first set of SNA analysis data to generate a set of first SNA data subsets;
performing a first set of association operations to associate individual first SNA data subsets with individual SNA categories of a set of SNA categories; and
processing the individual first SNA data subsets associated with each individual SNA category to generate a first set of SNA category values respectively corresponding to the individual SNA categories.
8 . The system of claim 7 , wherein:
a second set of SNA data is received, the second set of SNA data associated with a second conversation conducted within a social media environment;
the second set of SNA data is processed to generate a second set of SNA analysis data;
the second set of SNA data is processed with the second set of SNA analysis data to generate a set of second SNA data subsets;
a second set of association operations is performed to associate individual second SNA data subsets with individual categories of the set of SNA categories; and
the individual second SNA data subsets associated with each individual SNA category are processed to generate a second set of SNA category values respectively corresponding to the individual SNA categories.
9 . The system of claim 8 , wherein:
the first set of SNA category values is associated with a first time interval, and
the second set of SNA category values is associated with a second time interval.
10 . The system of claim 9 , wherein:
the first set of SNA category values is processed to generate a first aggregate SNA category value; and
the second set of SNA category values is processed to generate a second aggregate SNA category value.
11 . The system of claim 10 , wherein:
the first and second sets of SNA category values are processed to generate a corresponding set of SNA category variance values; and
the first and second Aggregate SNA category values are processed to generate an aggregate SNA category variance value.
12 . The system of claim 11 , wherein SNA category data is provided within a window of a user interface, the SNA category data comprising at least one of the set of:
the first set of SNA category values;
the second set of SNA category values;
the first aggregate SNA category value;
the second aggregate SNA category value;
the set of SNA category variance values; and
the aggregate SNA category variance value.
13 . A non-transitory, computer-readable medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
receiving a first set of social network advocacy (SNA) data associated with a first conversation conducted within a social media environment;
processing the first set of SNA data to generate a first set of SNA analysis data;
processing the first set of SNA data and the first set of SNA analysis data to generate a set of first SNA data subsets;
performing a first set of association operations to associate individual first SNA data subsets with individual SNA categories of a set of SNA categories; and
processing the individual first SNA data subsets associated with each individual SNA category to generate a first set of SNA category values respectively corresponding to the individual SNA categories.
14 . The non-transitory, computer-readable medium of claim 13 , wherein:
a second set of SNA data is received, the second set of SNA data associated with a second conversation conducted within a social media environment;
the second set of SNA data is processed to generate a second set of SNA analysis data;
the second set of SNA data is processed with the second set of SNA analysis data to generate a set of second SNA data subsets;
a second set of association operations is performed to associate individual second SNA data subsets with individual categories of the set of SNA categories; and
the individual second SNA data subsets associated with each individual SNA category are processed to generate a second set of SNA category values respectively corresponding to the individual SNA categories.
15 . The non-transitory, computer-readable medium of claim 14 , wherein:
the first set of SNA category values is associated with a first time interval, and
the second set of SNA category values is associated with a second time interval.
16 . The non-transitory, computer-readable medium of claim 15 , wherein:
the first set of SNA category values is processed to generate a first aggregate SNA category value; and
the second set of SNA category values is processed to generate a second aggregate SNA category value.
17 . The non-transitory, computer-readable medium of claim 16 :
the first and second sets of SNA category values are processed to generate a corresponding set of SNA category variance values; and
the first and second Aggregate SNA category values are processed to generate an aggregate SNA category variance value.
18 . The non-transitory, computer-readable medium of claim 17 , wherein SNA category data is provided within a window of a user interface, the SNA category data comprising at least one of the set of:
the first set of SNA category values;
the second set of SNA category values;
the first aggregate SNA category value;
the second aggregate SNA category value;
the set of SNA category variance values; and
the aggregate SNA category variance value.
19 . The non-transitory, computer-readable medium of claim 13 , wherein the computer executable instructions are deployable to a client computer from a server at a remote location.
20 . The non-transitory, computer-readable medium of claim 13 , wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis.