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  • Influence
Twitter mood predicts the stock market
TLDR
We investigate whether measurements of collective mood states derived from large-scale Twitter feeds are correlated to the value of the Dow Jones Industrial Average (DJIA) over time. Expand
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Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena
TLDR
We perform a sentiment analysis of all tweets published on the microblogging platform Twitter in the second half of 2008. Expand
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Co-authorship networks in the digital library research community
TLDR
The field of digital libraries (DLs) coalesced in 1994: the first digital library conferences were held that year, awareness of the World Wide Web was accelerating, and the National Science Foundation awarded $24 Million for the Digital Library Initiative. Expand
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A Principal Component Analysis of 39 Scientific Impact Measures
TLDR
We perform a principal component analysis of the rankings produced by 39 existing and proposed measures of scholarly impact that were calculated on the basis of both citation and usage log data. Expand
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Toward alternative metrics of journal impact: A comparison of download and citation data
TLDR
We generated networks of journal relationships from citation and download data, and determined journal impact rankings from these networks using a set of social network centrality metrics. Expand
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Predicting Financial Markets: Comparing Survey,News, Twitter and Search Engine Data
TLDR
In this paper, we survey a range of online data sets (Twitter feeds, news headlines, and volumes of Google search queries) and sentiment tracking methods, and compare their value for financial prediction of market indices such as the Dow Jones Industrial Average, trading volumes, and market volatility (VIX), as well as gold prices. Expand
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Journal status
TLDR
We demonstrate how a weighted version of the popular PageRank algorithm can be used to obtain a metric that reflects prestige, and we provide an analysis that reveals both significant overlaps and differences. Expand
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Happiness Is Assortative in Online Social Networks
TLDR
We show that the general happiness, or subjective well-being (SWB), of Twitter users, as measured from a 6-month record of their individual tweets, is indeed assortative across the Twitter social network. Expand
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More Tweets, More Votes: Social Media as a Quantitative Indicator of Political Behavior
Is social media a valid indicator of political behavior? There is considerable debate about the validity of data extracted from social media for studying offline behavior. To address this issue, weExpand
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Twitter Mood as a Stock Market Predictor
TLDR
Behavioral finance researchers can apply computational methods to large-scale social media data to better understand and predict markets. Expand
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