Methods and systems for node and link identification
Methods and systems for node and link detection in social network analysis. Interactive noise reduction allows reduction of the data set under analysis to enable substantially real time detection of links and nodes.
1. A method for network analysis, the method comprising:
receiving, through an interface, at least one search term;
querying a recommendation engine to retrieve at least one additional term related to the at least one search term;
providing, through the interface, the at least one additional term;
querying a data store to retrieve information relating to the at least one search term and the at least one additional term;
providing, through the interface, the retrieved information;
receiving, through the interface, feedback on the relevance of the retrieved information; and
identifying, using a processor, influential nodes and links therebetween in the retrieved information using the received feedback.
2. The method of claim 1 wherein the recommendation engine comprises information concerning third party usage of the at least one search term and the at least one additional term.
3. The method of claim 1 wherein the data store comprises information from social media sources including information relating to the at least one search term and the at least one additional term.
4. The method of claim 1 wherein the feedback comprises human review of the relevance of the retrieved information.
5. The method of claim 1 wherein identifying influential nodes and links therebetween comprises ranking the nodes and links based on the received feedback.
6. The method of claim 1 wherein identifying at least one additional term comprises identifying at least one additional term utilizing at least one of collaborative filtering, cosine similarity, and a user model.
7. The method of claim 1 wherein identifying influential nodes and links comprises identifying influential nodes and links using at least one of the Linear Submodular Bandits algorithm and the Latent Dirichlet Allocation.
8. The method of claim 1 further comprising iterating substantially in real time the steps of receiving feedback on the relevance of the retrieved information and identifying influential nodes and links therebetween in the retrieved information using the received feedback.
9. The method of claim 1 further comprising ranking the identified nodes in terms of influence.
10. The method of claim 1 further comprising presenting, using a display, a graphical depiction of the influential nodes and the links therebetween.
11. The method of claim 1 wherein the at least one search term is provided in a query or document.
12. A system for network analysis, the system comprising:
an interface configured to receive at least one search term;
a recommendation engine in communication with a processor, the processor configured to retrieve at least one additional term related to the at least one search term from the recommendation engine, the interface further configured to provide the at least one additional term; and
a data store comprising information relating to the at least one search term and the at least one additional term, the processor in communication with the data store, the processor further configured to retrieve information relating to the at least one search term and the at least one additional term from the data store, the interface further configured to provide the retrieved information,
the interface further configured to receive feedback on the relevance of the retrieved information, the processor further configured to identify influential nodes and links therebetween in the retrieved information using the received feedback.
13. The system of claim 12 wherein the recommendation engine comprises information concerning third party usage of the at least one search term and the at least one additional term.
14. The system of claim 12 wherein the data store comprises information from social media sources including information relating to the at least one search term and the at least one additional term.
15. The system of claim 12 wherein the processor identifies influential nodes and links therebetween by ranking the nodes and links based on the received feedback.
16. The system of claim 12 wherein the recommendation engine identifies at least one additional term utilizing at least one of collaborative filtering, cosine similarity, and a user model.
17. The system of claim 12 wherein the processor identifies influential nodes and links using at least one of the Linear Submodular Bandits algorithm and the Latent Dirichlet Allocation.
18. The system of claim 12 further comprising a display in communication with the processor and configured to present a graphical depiction of the influential nodes and the links therebetween.
19. The system of claim 12 wherein the processor is configured to identify influential nodes and links therebetween in the retrieved information using the received feedback substantially in real time.