# A Network Analysis Approach to Detecting Social Issues with Web-Based Data
## 2 Literature Review  
### Web-Based Social Data Analysis  
Web-based data, mainly classified by social media, online discussion groups, and online publications, is one of the open data types that is easy to collect and very fast to update compared to other open data types, such as commercial material or public government data [15]. Web-based data plays an increasingly important role in our society as more information and services are delivered over the Internet. Accordingly, many studies have analyzed web-based data in the various fields of our society for analyzing voice of the customer, identifying business opportunities, monitoring the overall stream of society, etc. (Table 1).  
First, some previous studies analyzed social media data to identify customer needs or measure their satisfaction. Social media is a group of Internet-based applications that allow individuals or groups to create and discuss content freely [16], so customers can freely write their experiences and opinions about products or services they have used in social media. A study analyzed app review data from Google Play for investigating determinants of customer satisfaction in music streaming services [17]. The study provided a comprehensive understanding of music streaming services from the customer's point of view. Another study analyzed online travel reviews from TripAdvisor to examine travelers' choice behavior for green hotels [18]. The results of the study could support travelers in their decision-making process and provide insights for hotel managers and green policy makers. In addition, a study analyzed user-generated content on Twitter to compare user emotions before and after the launch by sentiment analysis [19]. Using the approach proposed in the study, businesses could obtain real-time feedback on new product experiences and adjust their new product development processes accordingly.  
Second, some studies have analyzed business opportunities of the target product or service using the data of online discussion groups, which refer to platforms that form communities of users on various topics and exchange opinions on topics by creating posts and comments. A study analyzed Reddit data generated by customers of a target product for identifying time-evolving product opportunities via the aging theory-based event detection and tracking algorithm [20]. The study contributed to identifying time-evolving product opportunities from large-scale web-based data and monitoring customer needs in real time. In another study that analyzed Reddit data, an opportunity mining approach was proposed to identify product opportunities based on topic modeling and sentiment analysis [21]. The proposed approach contributed to the systematic identification of product opportunities for product planning.  
Finally, numerous studies have analyzed trends, patterns, or events in various fields to monitor the stream of our society by utilizing web news data from online publications.  
The web news is public information that is more sophisticated and reliable than other web-based data, such as blogs or customer reviews [22]. A study utilized web news data focusing on emerging technologies together with patent data to identify the development trends of emerging technologies [23]. The study provided a new research perspective by adopting web news data for analyzing emerging technology trends. Similarly, another study analyzed patent data and news data together to investigate the long-run relationship and coevolution patterns between technology and society [24]. The study contributed to increasing the explanatory power of coevolution patterns between society and technology, and establishing insightful strategies for technological advancement. Additionally, there were various studies that utilize web-based data to detect issues or important events in society. The next section describes the prior studies for detecting social issues or events using web-based data.