By Jamie McCorriston & Morgane Ciot Facebook offers an easily accessible API allowing data analysts or application developers obtain the public content of a user’s profile. While publicly viewable content offers an interesting dataset for social analytics, private messenger data contains a more raw version of a user’s online verbal footprint. Due to privacy constraints, […]
Code-switching in Twitter #wow #TrèsIntéressant
IntroductionPublic platforms like Twitter, Facebook, and Weibo have provided a way for individuals of many cultures to create content and interact with those from other cultures and those speaking other languages. Often, when individuals speak multiple languages, they engage in code switching, where they communicate using a mixture of both languages.[1] Code switching is readily […]
Parsing Reddit – PRAW to the Rescue
If you happen to be one of millions of users afflicted with Reddit addiction who has managed to shake off their finger-cramping, eye-twitching obsession for long enough allow your pupils to re-adjust to the three-dimensional world, you may have realized Reddit’s potential as a multi-faceted resource. Reddit is a website where users post content that […]
Anatomy of a Tweet
Are you interested in capturing social trends over Twitter? So are we! To give you a head start, in this post, we’ll look at how Twitter handles its own data.Twitter uses the JSON format to store data and segregates it into meaningful fields. Attached to every tweet is the metadata, that is the information about […]
ICWSM data sharing goes live!
This past year, I’ve had the privilege of serving as Data Co-Chair for the ICWSM conference – a top venue for the publication of research into social media.I’m excited to announce that this year we’ve launched the ICWSM Data Sharing initiative. Starting this year and moving forward, authors of papers published at ICWSM are encouraged […]
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Conducting network analysis without a cluster
For all the wonderful things we hear about how compute clusters enable the analysis of massive datasets, the sad truth is that few researchers can use them to analyze large network datasets. This is due both practical and theoretical issues.From a practical perspective, clusters are expensive, their administration requires non-trivial time and technical knowledge, and […]
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