July 22st, 2010 SNA Event At Stanford: Network Analysis Made Easy: Using NodeXL To Map Social Media Networks

July 22st, 2010 SNA event at Stanford: Network Analysis Made Easy: Using NodeXL To Map Social Media Networks

There is a Stanford Media X event on July 22nd, 2010 on new tools for SNA: Network Analysis Made Easy:  Using NodeXL To Map Social Media Networks http://mediax.stanford.edu/WSI/marc.html Bring a laptop (running Windows and Office 2007 or 2010) to this workshop and you can be analyzing a social media network from systems like Twitter, flickr, YouTube [...]
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New NodeXL Network Server (v1.0.1.126) – Frequently Asked Questions

New NodeXL Network Server (v1.0.1.126) – Frequently Asked Questions

NodeXL Network Server Frequently Asked Questions The NodeXL team has released a new version (v.1.0.1.126) with better support for collecting data from social media network sources, starting with Twitter.  The NodeXL Network Server program now ships in every NodeXL installation.  Tony, the lead developer on the team, created the following FAQ to explain how to [...]
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ICWSM 2010 Liveblog, Day 2

ICWSM 2010 Liveblog, Day 2

Fourth International AAAI Conference on Weblogs and Social Media (ICWSM-10)

***Microblogging 2***

Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (Tumasjan et al.)

Successful use of social media in las presidential campaign has established twitter as an integral part of political campaign toolbox

Goal: analyze on Twitter: 1. Deliberation, 2. Sentiment, 3. Prediction

Previous work:

Deliberation: Honeycutt and Herring – Twitter not only used for one-way comm, but 31% of all tweets direct a specific addressee. Kroop and Jansen – political internet discussion boards dominated by small # of heavy users

Sentiment: How accurately can Twitter inform us about the electorate’s political sentiment?

Prediction: can Twitter serve as a predictor of the election result?

Data: examined more than 100k tweets and extracted their sentiment using LIWC

Target: German federal election 2009

Results:

1. While Twitter is used as a forum for political deliberation on substantive issues, this forum is dominated by heavy users

Two widely accepted indicators of blog-based deliberation:

-The exchange of substantive issues (31% of all messages contain “@”),

-Equality of participaion: While the distribution of users across groups is almost identical with the one found on internet message boards, we find even less equality of participation for the political debate on Twitter. Additional analyses have shown users to exhibit a party-bias in the volume and sentiment of messages.

2. The online sentiment in tweets reflects nuanced offline differences between the politicians in our sample.

LIWC profiles:

-Leading candidates: Very similar profile for all leading candidates, only polarizing political characters, such as liberal leader and socialist, deviate in line with their roles as opposition leaders. Messages mentioning Steinmeir (coalition leader) are most tentative

3. Similarity of profiles is a plausible reflection of the political proximity between the parties

Key findings: high convergence of leading candidates, more divergence among politicians of governin grand coalition than among those of a potential right wing coalition

4. Activity on Twitter prior to election seems to validly reflect the election outcome (MAE 1.65%), and joint party mentions accurately reflect the political ties between parties.

From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series (Brendan O’Connor)

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ICWSM 2010 Liveblog, Day 1

ICWSM 2010 Liveblog, Day 1

Fourth International AAAI Conference on Weblogs and Social Media (ICWSM-10) We will be liveblogging (when possible) from ICWSM 2010, going on now! Keynote: Bob Kraut, CMU implications for community design -offline theories of socialization helpful, not definitive -online communities can build in good socialization practice -e.g. WP welcoming committee Two Types of Commitments to Groups [...]
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