2013
DOI: 10.1080/13645579.2012.756095
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Towards more systematicTwitteranalysis: metrics for tweeting activities

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Cited by 262 publications
(192 citation statements)
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“…How many followers? However, building on these early methods, Twitter analysis has become very much more complex, and new methods for measuring and comparison are appearing all the time [72,73].…”
Section: Measuring Influence Quantitativelymentioning
confidence: 99%
“…How many followers? However, building on these early methods, Twitter analysis has become very much more complex, and new methods for measuring and comparison are appearing all the time [72,73].…”
Section: Measuring Influence Quantitativelymentioning
confidence: 99%
“…While this dataset is small in comparison to the 'big data' analysis typical of Twitter studies (for an overview of the literature see Bruns and Stieglitz, 2013), our choice of manual coding meant restrictions were necessary. Further, while expanding our sampling criteria was considered, our project was eager to hone in on one specific conversation around a unique public diplomacy initiative and thus the decision to limit our criteria was seen as the best choice.…”
Section: Methods Of Analysismentioning
confidence: 99%
“…And the third metric is to combine both the contribution and the activity of users within a specific hashtag over a period of time. We can suggest that the employed method in [9] would benefit in identifying the influential users when analyzing the network-topology and the retweet rate for the most active and contributed users.…”
Section: Event Life Cycle 31mentioning
confidence: 99%
“…Regarding the difficulty of tracking a specific event for a long period of time, [9] followed an effective technique by tracking a specific hashtag on different times and employed a comparison between them to examine the fluctuation of the event life cycle as they investigated three metrics to track each hashtag. The first is the contribution metric to examine the activity and the participation of users over a specific hashtag by counting the number of tweets, and to examine the visibility of each user (which is how many times the user is mentioned by other users).…”
Section: Event Life Cycle 31mentioning
confidence: 99%