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Alistair suggested a taxonomy. Aggregate (a Twitter user's followers or friends). Scoring: Most/Least Active Social Network Analysis: What are the relationships between people who I follow or friends What are they Saying? A disclaimer. What can they measure w/Twitter?
Is that a formalized taxonomy or not? There is a usefulness for a formal taxonomy or making it easy to find specific items, particularly for second wave adopters who may not be good at pattern analysis skills or people who can deal with messier data. There is an interest in a community filtering concept.
How are they different from taxonomies? Gavin's post does a great job explaining the definitions and the advantages of a taxonomy over a folksonomy. A traditional rigorous taxonomy scheme includes "synoynm ring" - basically, just a bunch of synonyms mapped together - why not use that to standardize the tags(i.e.
I scan the tagged items every week and do a pattern analysis and summary of these undifferentiated items. Obviously, it ain't no taxonomy and it shouldn't substitute for one. What if we thought of the NPTech Tag as a way to aggregate and facilitate a more focused distributed conversation and the summary is, well, a summary.
People who can touch API's out there have been fooling around with trying to extract data from the NpTech tag for analysis as well as think about ways that we can make the data that has been tagged more filtered via social search, collaborative filtering, and whatever else.
The function aggregates these impacts to estimate the overall 'dirtiness' of the dataset, with higher scores indicating lower quality. Future articles in this series will explore various related topics, including a taxonomy of data errors, leveraging LLMs for automated issue detection, and strategies for data correction and repair.
What the Hashtag is a simple tool for aggregating tweets into a transcript and some simple stats, but after experiencing Marc Meyerand Jason Breed ’s Hashtag Social Media Chat and their tool that aggregates tweets, I need to do some re-thinking. Some analysis questions: What points were the participants in the room tweeting?
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