1. A method for trend detection, the method comprising: receiving, by a computer system, a seed expert set, the seed expert set comprising expert contributors to social media content with respect to a category; identifying, by the computer system, a second tier set, the second tier set comprising highly influential users with respect to the social media content with respect to the category from the seed expert set; identifying, by the computer system, new concepts in the social media content with respect to the category generated by at least one of the seed expert set or the second tier set, identifying the new concepts comprises maintaining a record for at least a portion of the social media content generated by at least one of the seed expert set or the second tier set for a window of time; monitoring, by the computer system, trends for the new concepts in activity of a general population of social media users; and outputting, by the computer system, a representation of at least a portion of the trends for the new concepts; wherein: identifying the new concepts further comprises comparing the social media content generated by the at least one of the seed expert set or the second tier set to the record for at least the portion of the social media content generated by at least one of the seed expert set or the second tier set for the window of time; and the window of time comprises a set period of time minus a current time.
8. The method of claim 1 , further comprising generating a correlation between the trends for the new concepts and sales of at least one of a product, products having a common attribute, or a class of products.