Linked In, meanwhile, digitises real-life relationship networks, common business contacts and friends-of-friends in a slick way that has given it total domination of the business social market space.
Those relationships can be spotted and followed by the code much more quickly than in a relational database because those ‘relationships’ (in the graph database world, ‘joins’) don’t need to be created in order to run a query.
Graph databases differ from relational databases – as the vast majority of everyday business databases are called – as they specialise in identifying the relationships between multiple data points.
Thus Google was able to exploit the connections in every Web document and build a connected dataset to rank search result, getting back substantially better search results: a fundamental factor in its meteoric rise.
In order to determine if these are accurate responses or errouneous data I went back to the question asked.
The question of "How many people do you know that have used or are using an online dating site? After reviewing all the data I determined that although these responses differed greatly from other responses given they do represent legitimate data values.
The correlation coefficient is shown below: In reviewing the data we see that the absolute value of r exceeds the value .196 ( table A-5), we can determine that there is a linear correlation between the number of people who have used or are using an online dating site and the number of longterm relationships developed with someone met online.
This means much improved query time, supporting speedier transactions.
The graph database can also query and display a huge volume of connections between people, preferences, personal profile criteria, and so on.
The response we received were all voluntary as not all surveys conducted were responded to. How many people do you know that have used, or are currently using, an online dating site? How many people do you know that have developed a long term relationship with someone that they met online? Would you ever use an online dating site to seek a partner? What age range to you fall into: 18-28, 29-39, or 40 ?
Looking at a Categorical Value: The responses to " What age range do you fall into? The results of the pie chart show that the largest percentage at almost 46% belonged to the 40 age group of survey participants.