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Of course, any interpretation of a Twitter network in terms of the
terminology of network theory and analysis depends on how exactly the
considered Twitter network is defined as an abstract/formal relational
* What are its nodes? Tweeple, hashtags, key-words, topics, embedded
media (or any sort of aggregate categories of the previous ones)?
* What are its links? Mentions, references, retweets, friendship
(followers/following) relationships among tweeple?
* And what sort of attributes are considered on nodes or/and links?
I.e., what are the quantitative or categorical entities which are
extracted/mined from the content of tweets, in terms of time,
location, language, various profile characteristics etc. (through any
sort of machine learning or sentiment analysis processing applied to
the previous ones)?
Twitter datasets offer a multiplicity of such choices, but in each
case the conceptual formalization of the conceived Twitter network is
the same, because network theory provides a common universal language
for the analysis of all these cases.
My two cents,
On Sun, Dec 20, 2015 at 12:30 AM, Deena Abul Fottouh
<[log in to unmask]> wrote:
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> Hello Socnetters,
> Is there research on theorizing Twitter networks from network analysis perspective? Like for example trying to interpret Twitter networks in network analysis language. What does it mean betweenness in a Twitter mentions network? How is it different from betweenness in a retweet network? Is there such a thing like a broker in the mentions network, how do we interpret that? I can understand what is a broker in a retweet but can we also interpret it for a mention?
> I am interested in Twitter functions in network analysis terms in general but my main focus now is on brokerage.
> Any help with references or thoughts is much appreciated..
> Sent from my iPhone
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