Tag Archives: social network

Building a Dating site with Neo4j – Part Eleven

Up to this point, our users can send and receive messages, but we don’t have a way to show them all of their conversations, only one conversation at a time and they have to guess who messaged them before they can see those. Not very useful, what we need is a directory of all the conversations our user is part of. Let’s go ahead and add this feature to tie things together.
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Building a Dating site with Neo4j – Part Eight

Up to this point we have a timeline of posts from people we want to date, but no way to interact with those people. The first step begins today as we will allow users to High Five and Low Five posts. Recall that once a user has high fived your post, you will be able to message them for up to 5 days when the high five expires. If you do not wish to message them, that’s fine, their high five gives you an additional high five to give to someone else in the hopes they message you. Remember that all users get 5 “free” High Fives a day, if they want more they have to earn them. You can get a High Five on a post that is older than 5 days, it still counts. This is needed to create the opportunity to bring back a user who hasn’t been to the dating site in a while with a High Five to an old Post. Otherwise after 5 days of inactivity, those users would be practically deleted.
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Building a Dating site with Neo4j – Part Six

Without posts, we can’t have High Fives and that defeats the purpose of our dating site, so it’s time to let our users post things. We want to allow two types of posts, text posts and image posts. Today we’re going to focus on text posts and getting them working and we’ll deal with images in another post. The first thing we want to do is prevent users from posting bad things. So we’re going to create a PostValidator to deal with the user input:
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Building a Dating site with Neo4j – Part One

You might have already heard that Facebook is getting into the Dating business. Other dating sites have been using graphs in the past and we’ve looked at finding love using the graph before. It has been a while though, so let’s return to the topic making use of the new Date and Geospatial capabilities of Neo4j 3.4. I have to warn you though that I’ve been with Helene for almost 15 years and missed out on all this dating site fun, what I do know I blame Colin for it and some pointers from the comments section of this blog post.
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Using a Cuckoo Filter for Unique Relationships

We often see a pattern in Neo4j applications where a user wants to create one and only one relationship between two nodes. For example a User follows another User on a social network. We don’t want to accidentally create a second follows relationship because that may create errors such as duplicate entries on their feed, or errors unfollowing or blocking them, or even skew recommendation algorithms. Also it is just plain wasteful, and while an occasional duplicate relationship won’t be a big deal, millions of them could.

So how do we deal with this?
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Building a Twitter Clone with Neo4j – Part Eight

In our last post we started the front end of our Twitter Clone application and managed to register and login a user. Now we need to build the actual functionality of our application. We’re going to need a screen to display the timeline of the logged in user. A screen to display a single users posts, and a screen to display the followers of a user and the users being followed. All of these should fit within the same main template, so maybe we can start with that.

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Building a Twitter Clone with Neo4j – Part Seven

Alright, we’ve had enough back-end work on our Twitter Clone. Let’s switch gears and get to work on the front end. I’ve decided I’m going to use a Java micro framework for my front end, but if your language of choice is Ruby, Python, Go, or whatever, find an alternative library and follow along.

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Building a Twitter Clone with Neo4j – Part Six

We are getting close to wrapping up the back-end API for our Twitter clone, so thank you for sticking with this awfully long series since the beginning. One of the big community features of Twitter is the Trending Hashtags. It lets users know what is being talked about even if the people a user follows aren’t talking about it. It’s kind of weird in that way since part of the point of Twitter is following just a few hundred or thousand people to reduce the noise, and here we are bringing noise back in to our feed. Regardless, this is actually pretty easy to implement, so let’s have a crack at it.
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Building a Twitter Clone with Neo4j – Part Five

In part four, we continued cloning Twitter by adding hashtag and mentions functionality. Then we went beyond it by adding the ability to edit a post. So we have a social network where people can follow each other and post stuff. Today we’re adding the ability to say a user likes a post, reposts a post and the most important query of all, being finally able to see our feed or timeline.
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Building a Twitter Clone with Neo4j – Part Four

We left off last time having just added the ability to follow people, see who we’ve followed and has followed us, block and unblock people and finally see whom we have put on our naughty list of blocked users. So we have a social network where people can create relationships, but they have nothing to say because we haven’t implemented that yet!
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