DYNAMIC INFORMATION STREAMS IN A SOCIAL NETWORK PLATFORM
The techniques, methods and systems described herein facilitate the automated discovery and presentation of content created, published or otherwise made public by “experts” and key influencers on particular topics. As such, users that may be interested in particular topics but may not know who to connect with in order to receive the most pertinent information can receive highly-relevant information. Embodiments of the invention use topics of interest identified by the user and/or automatically identifies topics based on previous postings, communication, contacts, etc. Individuals, companies, organizations and other entities that have been recognized as highly influential in those topics are identified and, without explicit actions by the user, adds content generated by the influential entities to the user's content data feed.
1 . A method for calculating a metric of an individual's influence among a plurality of users of a collection of social network application platforms, the method comprising the steps of:
storing, on a physical memory device, computer-executable instructions for identifying sources of content to be included in a content feed addressable to the user and providing content generated by the sources to the user; and
providing a processor for accessing and executing the instructions, that when executed by the processor:
monitor first interactions between the individual and any of the plurality of users;
monitor second interactions between the individual and any of the social network application platforms;
store the first and second interactions in a profile unique to the individual;
determine from the profile unique to the individual at least one topic of interest of the individual; and
for each of the at least one topic of interest assign a numerical value to an amount, a frequency, a location of the individual, and a quality of the profile unique to the individual data representative of the individual's influence in each of the at least one topic of interest.
2 . The method of claim 1 , wherein the influence is global and based on at least one of a number of connections the individual has formed with other users of the plurality of users via any of the social network application platforms; a frequency of messaging between the individual and the other users via any of the social network application platforms; a frequency of requested status updates between the individual and the other users via any of the social network application platforms; and a number of other users who are deemed fans of the individual on any of the social network application platforms.
3 . The method of claim 1 , wherein the influence is topic-specific.
4 . The method of claim 1 , wherein determining the at least one topic of interest of the individual is expressly identified by the individual.
5 . The method of claim 1 , wherein determining the at least one topic of interest of the individual results from a statistical analysis of data in the profile unique to the individual.
6 . The method of claim 5 , wherein the statistical analysis focuses on at least one of terms, phrases, and words contained in the profile unique to the individual.
7 . The method of claim 1 , wherein the instructions when executed by the processor further aggregate data from at least one of other social networking platforms, email databases, messaging platforms, news aggregation Websites, public news feeds, and other entities using the same.
8 . The method of claim 1 , wherein the instructions when executed by the processor further generate a pairing list comprising a rank ordering of a plurality of individuals whose assigned numerical value for a specific topic of interest is higher than assigned numerical values of other users of the social network application platforms for the same specific topic of interest.
9 . The method of claim 8 , wherein the generated pairing list is multi-dimensional to provide additional numerical values for each sub-topic of the topic of interest.
10 . The method of claim 8 wherein the instructions when executed by the processor further receive user-specified topics of interest from users of at least one of the social networking platforms; and automatically identify sources of content for the users of at least one of the social networking platforms using the pairings list.
11 . The method of claim 1 , wherein the assigned numerical value takes into account an activity of the individual and one or more previously selected content sources selected by the individual.
12 . The method of claim 8 , wherein the assigned numerical value takes into account a location of the users, an activity of the users, and one or more previously selected content sources selected by the users.
13 . A system for calculating a metric of an individual's influence among a plurality of users of a collection of social network application platforms, the system comprising:
a data storage device for storing information related to the individual, wherein the information includes computer-executable instructions for identifying sources of content to be included in a content feed addressable to the user and providing content generated by the sources to the user;
a content communications device that is structured and arranged to receive data from the collection of social network application platforms and to store in a memory:
first interactions between the individual and any of the plurality of users, and
second interactions between the individual and any of the social network application platforms; and
a processing device that is structured and arranged to:
generate a profile unique to the individual using the first and second interactions stored in the memory of the content communications device;
determine from the profile unique to the individual at least one topic of interest of the individual; and
for each of the at least one topic of interest assign a numerical value to an amount, a frequency, a location of the individual, and a quality of the profile unique to the individual data representative of the individual's influence in each of the at least one topic of interest.
14 . The system of claim 13 , wherein the processor is further adapted to generate a pairing list comprising a rank ordering of a plurality of individuals whose assigned numerical value for a specific topic of interest is higher than assigned numerical values of other users of the social network application platforms for the same specific topic of interest.
15 . The system of claim 14 further comprising a matching engine that is structured and arranged to identify topics of interest of a user of any of the social network application platforms based at least in part on stored information and to identify one or more content sources not previously known to the user as relevant sources of information about the identified topics of interest.