This is the summary of an article by Karissa McKelvey, Alex Rudnick, Michael Conover and Filippo Menczer. It talks about using Twitter to collect huge amounts of data online for a large-scale social study, but make these data and their interpretation easily accessible to social scientists and anyone else interested who may not have the technical know-how otherwise. The paper further describes extensions to the platform responsible for this convenience, called Truthy. Collaboration between persons in the computational and social field can then be further realized. You can get the pdf of the behavioral targeting article here: Visualizing Communication on Social Media: Making Big Data Accessible.
This is the summary of an article by Sitaram Asur and Bernardo A. Huberman. This paper shows how content in social media can be used as a real-world outcome predictor. Twitter.com’s chatter was used to predict movie box-office revenues. The authors created a simple model from tweet rate about certain topics that actually performed better than market-based predictors. Furthermore, Twitter sentiments were also shown to help improve the predicting power of social media. You can get the pdf of the behavioral targeting article here: Predicting the Future With Social Media.
This is the summary of an article by Nick Hafele. You can download the word document of the behavioral targeting article here: Social Media Marketing: Interactions, Trends and Analytics.
This is the summary of an article from Spring Metrics. Here’s the link to the original article: Behavioral Targeting And Social Media
This video from Youtube is about social marketing strategies and how you can use the power of Facebook, Twitter and all those other social networks to drive people to your blog. Perry Belcher also explains why making friends is so important in today’s online business world.