However, having access to these type of data is a bit difficult because of its commercial value.
The data collected from Scraping is in raw format. Scraping is a process in which the APIs collect online data from social media. social media platforms having high number of users will have more data than platforms having less user base. Moreover, the size of the data set collected vary with the popularity of the social media platform i.e. The API provides a path for application to access information after the user login. The infrastructure of Ad-hoc application allows the user to interact with the interface layer instead of the application servers. Ad-hoc application is a kind of application that provides services and games to social network users by developing the APIs offered by social network companies (Facebook Developer Platform). Furthermore, high-speed links are not adaptable to traffic analysis because of the possible overload problem according to the packet sniffing mechanism However concerned about the potential tort of privacy on the Internet, network traffic analysis is always restricted by the government. It is primarily done to improve the performance, security and other general management of the network. Network traffic analysis is the process of capturing network traffic and observing it closely to determine what is happening in the network. There are several prevalent techniques to acquire data such as Network traffic analysis, Ad-hoc application and Crawling Īcquiring data from social media is in demand of an exploring the user participation and population with the purpose of retrieving and collecting so many kinds of data(ex: comments, downloads etc.). The last step ensures that the result obtained is more aligned with the goal defined in the first step. And in the final step, data collected from the system is analyzed and if the need arises, it is refined on the run time to enhance the methodologies used. This step involves conducting Quality Assurance tests of the methods deployed to collect the data. In the next step, strategies and tools are deployed in real-time. Then the next step is designing strategies to be used and setting up configuration tools that ease the process of collecting the data. This is followed by defining possible social strategies to be used to achieve the goal. The expected outcome varies per the goal and is usually measured by a variety of metrics. Social media measurement process starts with defining a goal that needs to be achieved and defining the expected outcome of the process. The process first gathers data from different websites and then performs analysis based on different metrics like time spent on the page, click through rate, content share, comments, text analytics to identify positive or negative emotions about the brand.
It is also used by companies to gauge current trends in the industry.
In other words, this is the way to caliber success of social media marketing strategies used by a company or a brand. Social media measurement and social media analytics or social listening is a way of computing popularity of a brand or company by extracting information from social media channels, such as blogs, wikis, news sites, micro-blogs such as Twitter, social networking sites, video/photo sharing websites, forums, message boards and user-generated content from time to time. A buzz graph for the term "teszt" on Twitter in a social media monitoring tool.