Similarly, for LinkedIn, the components we were most interested in are:
Retrieving correct information from the source website was an important task. Here, too, there are various components that are of interest which can be extracted.
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This platform a source of information that pertains to professional fields and insights. There are more than 240 million active users, most of whom are of in the workforce. LinkedIn is a more business-oriented social networking site. Due to its in real time interaction, Twitter allows users to report on what is going on during an event can happen as the incident unfolds. On average, 5700 tweets are posted every second. Twitter is a social networking site with more than 560 million active users. Twitter and LinkedIn proved to be our best sources for additional information about their expertise, in addition to containing other variables we thought would be interesting to investigate.
Therefore, we decided to pull necessary information from various additional sources such as Twitter, LinkedIn, Blogs and other online articles. We ran into a few concerns during this search, primarily in regard to that there was no definite source which could supply all the needed information. Each of us then reviewed what the other had referenced for a final, collective decision on whether we would scrape from the source or not. Utilizing a member-only Google Spreadsheet, we shared ideal sources that matched well with our inclusion criteria, such as web articles and blogs.