SYSTEM AND METHOD FOR ACTIVELY OBTAINING SOCIAL DATA

1 . A method performed by a computing system for obtaining social data, comprising:

obtaining social data from one or more data streams;

filtering the social data to obtain filtered social data;

analysing the filtered social data to determine one or more relationships; and

outputting the filtered social data and the one or more relationships in association with each other.

2 . The method of claim 1 further comprising composing new social data using the social data and the one or more relationships.

3 . The method of claim 2 further comprising identifying one or more users based on the one or more relationships and transmitting the new social data to the one or more users.

4 . The method of claim 1 further comprising, after obtaining the social data, which comprises text, translating the text from one language to another language.

5 . The method of claim 1 further comprising assigning affinity data to the social data and to any associated computed data, such as the relationship, wherein the affinity data is derived from affinity analysis.

6 . The method of claim 1 wherein determining the one or more relationships includes identifying an influencer amongst a group of users for a topic, wherein the filtered social data includes the group of users and the topic.

7 . The method of claim 6 wherein the one or more relationships further comprises a relationship between the influencer and a community of users associated with the topic, the community of users being a subset of the group of users, and the method further comprises identifying popular characteristics of the community.

8 . The method of claim 6 wherein determining the influencer comprises determining a number of instances in which one or more users perform any one or more of the following: mentioning the influencer, replying to the influencer, and re-posting content from the influencer.

9 . The method of claim 1 wherein the social data includes users and text associated with the users, and wherein determining the one or more relationships comprises: performing n-gram text processing on the text to determine the one more relationships between different users.

10 . The method of claim 1 further comprising obtaining one or more parameters and selectively obtaining the social data only associated with the one or more parameters.

11 . The method of claim 1 wherein filtering the social data comprises: analyzing the social data based on frequency, amplitude and timing of activity of social data occurrences; applying a filter to determine a positive or a negative peak in the social data; and amplifying the positive or the negative peak.

12 . The method of claim 1 wherein the social data comprises location data and meta data associated with the location data, and determining the one or more relationships comprises: identifying meta data associated with a first location; identifying another location associated with other meta data that is same or similar to the meta data associated with the first location; and generating an association between the first location, the second location, the meta data associated with the first location, and the meta data associated with the second location.

13 . The method of claim 1 wherein the social data is obtained from a data source, and the method comprising: comparing the social data against multiple data fields to determine that there is missing data not provided by the data source; obtaining the missing data from one or more other data sources; and combining the social data from the data source and the missing data from the one or more other data sources to populate the multiple data fields.

14 . The method of claim 1 wherein the social data comprises a data value obtained from a first data source to populate a data field, and comprises one or more other data values obtained from one or more other data sources to populate the data field; and the method further comprising: determine that the data value and the one or more other data values are different; and using a most common data value amongst the data value and the one or more other data values to populate the data field.

15 . The method of claim 1 further comprising: when identifying that an entity in the social data exhibits a first feature, synthesizing that a second feature is associated with the entity.

16 . The method of claim 1 further comprising, when identifying that an entity in the social data exhibits a feature, predicting that the entity will perform an action.

17 . The method of claim 1 wherein the one or more relationships are defined between at least two concepts, the concepts comprising any combination of a topic, multiple topics, a brand, multiple brands, a company, multiple companies, a person, people, a location, multiple locations, a date, multiple dates, a keyword, and multiple keywords.

18 . A server system configured to obtain social data, comprising:

a processor;

a communication device;

a memory device; and

wherein the memory device comprises computer executable instructions for at least:

obtaining social data from one or more data streams;

filtering the social data to obtain filtered social data;

analysing the filtered social data to determine one or more relationships; and

outputting the filtered social data and the one or more relationships in association with each other.