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Facebook Graph Search Algorithm: Importance in social media
Graph search is Facebook’s latest revision to the search features. It helps users find connections to people and places that have always existed in the graph. The graph search engine is the advance structured data in the form of graph, representing thousands of nodes and edges. Users, pages, places, photos and posts are all nodes in the graph. For example users have their gender information, address, photos they have posted. These nodes are connected with each by other ways like a user can like a page, add school name, live in a city, be in a relationship with other user, check in at a place, like, comment or share a photo and post. It is the huge amount of data structured in graph defines the nature of graph search.

Search results are based on both the content of the user and their friends’ profiles and the relationships between the user and their friends. Results are based on information added by users according to their interests and personal perspective. You can search in facebook in all possible options you could search with. There are many of the filters available in facebook graph search data. You can find “TV shows liked by people who study computer science”, “people who like Amitabh Bacchhan” etc. Our queries are always constructed in natural language, expression and intentions interpreted by our system.

People-Focused Search
Graph Search handle a surprising number of criteria. Here are some examples:
“People named (name) who like (something)”
“People named (name) who like (something) work at (company)”
“People named (name) who live in (city)”
“People (name) who live in (city, state) work at (company) and like (page)”

Business-Focused Search
Business focused people can also search same like above examples. A business search can be extremely helpful when it comes to marketing and promotions.

Post-Focused Search
If you don’t know about the person exactly or you want to search a person whom you met on a post comment than this is the best option to search that person with the query “post liked by people who like (page)”.
And some other queries are:
“Posts like by people who live in (city) and like (something)”
“Posts like by people who worked at (company)”
Through these queries who can find people who like something, live somewhere or job at some company.

Mutual Friend Search
This is really a good algorithm feature which allows you to filter results based on friends’ name, common school name, location or workplace. You can make it your facebook privacy also those only mutual friends can search or find you.

Conclusion:
Facebook is trying to collect data as much from its users and making a big library for consumer insight in existence. And to take advantage of the facebook graph search engine’s semantic search, establish your search objective and focus on queries respectively. Graph search is one of the most important pillars of Facebook to make the world more open and connected to each other. All the above traits of Facebook’s graph search algorithm make it an important factor in the social media business promotion.

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