Mining social media: a brief introduction

P Gundecha, H Liu - New directions in informatics …, 2012 - pubsonline.informs.org
The pervasive use of social media has generated unprecedented amounts of social data.
Social media provides easily an accessible platform for users to share information. Mining …

Using blogs as a qualitative health research tool: a sco** review

E Wilson, A Kenny… - International journal of …, 2015 - journals.sagepub.com
The global increase in and prevalence of social media is stimulating interest in the utilisation
of blogs for research purposes. There is, however, a significant lack of information about the …

Data mining in social media

G Barbier, H Liu - Social network data analytics, 2011 - Springer
The rise of online social media is providing a wealth of social network data. Data mining
techniques provide researchers and practitioners the tools needed to analyze large …

Identifying infection sources and regions in large networks

W Luo, WP Tay, M Leng - IEEE Transactions on Signal …, 2013 - ieeexplore.ieee.org
Identifying the infection sources in a network, including the index cases that introduce a
contagious disease into a population network, the servers that inject a computer virus into a …

How to identify an infection source with limited observations

W Luo, WP Tay, M Leng - IEEE Journal of Selected Topics in …, 2014 - ieeexplore.ieee.org
A rumor spreading in a social network or a disease propagating in a community can be
modeled as an infection spreading in a network. Finding the infection source is a …

Maximizing benefits from crowdsourced data

G Barbier, R Zafarani, H Gao, G Fung, H Liu - Computational and …, 2012 - Springer
Crowds of people can solve some problems faster than individuals or small groups. A crowd
can also rapidly generate data about circumstances affecting the crowd itself. This …

A new framework for mining weighted periodic patterns in time series databases

AK Chanda, CF Ahmed, M Samiullah… - Expert Systems with …, 2017 - Elsevier
Mining periodic patterns in time series databases is a daunting research task that plays a
significant role at decision making in real life applications. There are many algorithms for …

A study of homophily on social media

H Bisgin, N Agarwal, X Xu - World Wide Web, 2012 - Springer
The fact that similarity breeds connections, the principle of homophily, has been well-studied
in existing sociology literature. Several studies have observed this phenomenon by …

Investigating homophily in online social networks

H Bisgin, N Agarwal, X Xu - 2010 IEEE/WIC/ACM international …, 2010 - ieeexplore.ieee.org
Similarity breeds connections, the principle of homophily, has been well studied in existing
sociology literature.% Several studies have observed this phenomena by conducting …

Focal structures analysis: identifying influential sets of individuals in a social network

F Şen, R Wigand, N Agarwal, S Tokdemir… - Social Network Analysis …, 2016 - Springer
Identifying influential individuals is a well-known approach in extracting actionable
knowledge in a network. Existing studies suggest measures to identify influential individuals …