Automatically Identifying Groups Based on Content and Collective Behavioral Patterns of Group Members
Gregory, Michelle (Pacific Northwest National Laboratory) | Engel, Dave W. (Pacific Northwest National Laboratory) | Bell, Eric (Pacific Northwest National Laboratory) | Piatt, Andy (Pacific Northwest National Laboratory) | Dowson, Scott (Pacific Northwest National Laboratory) | Cowell, Andrew (Pacific Northwest National Laboratory)
For example, on Live Journal1, there are a number of categories, gaming, for The explosion of popularity in social media, such as internet example, that one can categorize themselves and their forums, weblogs (blogs), wikis, etc., in the past decade blogs. While a number of those that self select that category has created a new opportunity to measure public opinion, may interact, there is no explicit requirement to do so. If attitude, and social structures (Agichtein et al. 2008, one is interested in marketing to a gaming crowd, for instance, Qualman 2010). A very common social structure investigated knowing all persons interested in gaming would be is online communities, or groups. There are a number useful, even if they do not interact directly with one another.
Jul-12-2011
- Country:
- Europe > United Kingdom
- Scotland (0.14)
- North America > United States
- New York (0.14)
- Europe > United Kingdom
- Technology: