You can compare search as well as comparative search volume patterns across specific regions, categories, time frames and properties used in an exploratory research about the image of Liverpool as European Capital of Culture in online environments Results provided by google not only showed variation in volume of searches based on variables we introduced (we chose from worldwide, Europe and UK, or selected various timeframes) but it also showed related searches and rising searches
This search showed which was the public’s preference for a search term It helped establish a potential correlation between the popularity of the opening and closing ceremonies and the rise of the searches. By comparing the data with the schedule of the event, the rise in searches also drew attention to specific dates/events within the Liverpool Capital of Culture celebration. For communicators this information can be useful for future strategic planning such as choosing the name of an event, linking it with different events… Where ‘breakout’ is listed instead of a percentage, this means that the ‘search term has experienced a change in growth greater than 5000%.’ Over the 2008 period, key events to interrupt the dominance of football within Google searches were the Liverpool Echo Arena, Liverpool One, Liverpool 2008, Liverpool Sound, the Tall Ships, the Klimt Exhibition and the Spider(LaPrincesse).
TweetStats - personal statistics - can be applied to any user - helps compare patterns of twitter use; also shows twitter user cloud, and the day’s top 10 trends and currently trending topics TweetVolume - volumetric searches for keywords (similar to google insights but twitter specific - results resume to volume only - it is unclear for how long the searches span and how they are gathered) TwitterAnalyzer - so far the most complex tool Twinfluence - influence of users (calculates influence according to reach, velocity and social capital ) - measures the combined influence of users and their followers (the project so far that has a very research approach to what it does) TweetEffect - similar to Twinfluence but looks at gain/loss of followers and correlates it with tweets (also generates graph of variation in time) Twendz - a beta project supported by a PR agency Twitscoop - highlightz buzzing words, trending topics, and allows searches Trendsmap - allows monitoring twitter based on geographic location of tweeterers Tweetpad - a canadian project - software used to visualize Twitter feeds in a new, dynamic fashion. The idea is to not only be on the receiving end of these feeds but to be able to manipulate them; to react and to interact with what we are reading. This is done by deconstructing the text: scrambling the letters or words, breaking sentences apart, replacing words,combining multiple entries into one, etc
Twinfluence calculates two types of ranks - one assigning an absolute rank (#1!) compared to all analyzed twitterers to date, and one that assigns a value and category relative to other twitterers that have more or less the same number of followers as you. Imagine Twitterer1, who has 10,000 followers - most of which are bots and inactives with no followers of their own. Now imagine Twitterer2, who only has 10 followers - but each of them has 5,000 followers. Who has the most real "influence?" Twitterer2, of course.
![About the lecturer ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)