Big Data Analytics, Data integration and Social Network Analysis
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Moneyball for Academics: network analysis methods for predicting the future success of papers and researchers.

Moneyball for Academics: network analysis methods for predicting the future success of papers and researchers. | Big Data Analytics, Data integration and Social Network Analysis | Scoop.it

Drawing from a combination of network analysis measurements, Erik Brynjolfsson and Shachar Reichman present methods from their research on predicting the future success of researchers.


Via ukituki
Sudhakar B.S.'s insight:

Interesting insights, page ranks can play a key role too. Similar logic can be applied to identify brand advocates and influencers for Brands

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ukituki's curator insight, January 17, 2014 10:38 AM

We analyzed the combination of the publications network (i.e. citation network), the authors’ social network (i.e. co-authorship network) and the links that connect the 2 networks which generate a dual-network structure (see figure 1). Using data from Thomson-Reuters Web of Knowledge, we created a set of yearly snapshots of the papers-authors dual-networks from 1975 to 2012 on over 700,000 papers published in management, information systems and operations research journals. For each network snapshot we computed common centrality measures of it nodes as part of the variables in our models.

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Data Mining MOOCs (Massive Open Online Courses): why it doesn't work | MIT Technology Review

Data Mining MOOCs (Massive Open Online Courses): why it doesn't work | MIT Technology Review | Big Data Analytics, Data integration and Social Network Analysis | Scoop.it

Not only does student participation decline dramatically throughout the new generation of Web-based courses, but the involvement of teachers in online discussions makes it worse.


Via Bernard Rentier
Sudhakar B.S.'s insight:

This is not an encouraging trend!!!

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