1

Observatory of Trends in Software Related Microblogs

Microblogging has recently become a popular means to disseminate information among millions of people. Interestingly, software developers also use microblog to communicate with one another. Different from traditional media, microblog users tend to …

Follow Link Seeking Strategy: A Pattern Based Approach

The way Twitter and other microblogging networks work is to have users create follow links among one another, and create short messages to their followers. Most of the time, the creation of follow links to other users does not require approval from …

What does software engineering community microblog about?

Microblogging is a new trend to communicate and to disseminate information. One microblog post could potentially reach millions of users. Millions of microblogs are generated on a daily basis on popular sites such as Twitter. The popularity of …

Tweets and Votes: A Study of The 2011 Singapore General Election

This study focuses on the uses of Twitter during the elections, examining whether the messages posted online are reflective of the climate of public opinion. Using Twitter data obtained during the official campaign period of the 2011 Singapore …

Modeling socialness in dynamic social networks

Socialness refers to the ability to elicit social interaction and social links among people. It is a concept often associated with individuals. Although there are tangible benefits in socialness, there is little research in its modeling. In this …

Topical keyphrase extraction from Twitter

Summarizing and analyzing Twitter content is an important and challenging task. In this paper, we propose to extract topical keyphrases as one way to summarize Twitter. We propose a context-sensitive topical PageRank method for keyword ranking and a …

On Modeling Virality of Twitter Content

Twitter is a popular microblogging site where users can easily use mobile phones or desktop machines to generate short messages to be shared with others in realtime. Twitter has seen heavy usage in many recent international events including Japan …

Improving diversity of focused summaries through the negative endorsements of redundant facts

We present NegativeRank, a novel graph-based sentence ranking model to improve the diversity of focused summary by performing random walks over sentence graph with negative edge weights. Unlike the typical eigenvector centrality ranking, our method …

Answer diversification for complex question answering on the web

We present a novel graph ranking model to extract a diverse set of answers for complex questions via random walks over a negative-edge graph. We assign a negative sign to edge weights in an answer graph to model the redundancy relation among the …

Probabilistic models for topic learning from images and captions in online biomedical literatures

Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and provide rich information about the main themes in published papers. In the …