Site Map

Below is a web map showing the connections between the key pages of the Hive social networking site:

Site Map - Hive

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Gantt Charts of Hive Project

Here is the Gantt Chart of the first phase of our project, in which major tasks have been performed successfully:

Further tasks we need to perform in the next phase are allocated to project team members and the following gantt chart is the time scale of those tasks:

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Personas

Now that we have done a good amount of research, we can begin designing. Further research on technologies and theories that could aid in our project will be posted at a later date.

For use during our designs, we have created a number of personas. These personas are varied, representing the variety of possible users Hive could attract. These persona will be used in a number of scenarios which they could possibly be a part of when using Hive. These scenarios will be featured in the next post.

Persona 1:
Chris Jones

Personal Description:
Chris Jones is a 16 year old student living with his family in London. Chris loves playing basketball, watching movies, fishing and diving. He has a lot of friends at his school and he has a great time with them during his free time. The thing is that his friends don’t like fishing or diving and he doesn’t have anyone to discuss with about those hobbies.

Persona 2:
Elena Morales

Personal Description:
Elena Morales is a married woman with 2 children and she is 44 years old. She lives in Madrid and she stays at home taking care of her children.  Every day she takes her children to school, then she returns home to clean and cook for the family. She usually cooks Spanish food because her children and her husband love it.

Persona 3:
John Taylor

Personal Description:
John Taylor is a student at Southampton University and he is studying computer science. John is 22 years old and he is in the final year of his course. He loves playing sports, reading books but most of all, he likes playing video games, especially first person shooters.

Persona 4:
Vincent Collins

Personal Description:
Vincent is 32 years old and lives in New York City. He is married and is a lawyer. Vincent has been a photography enthusiast since he was 13 years old.  He owns a DSLR (Digital Single-Lens Reflex) and several lenses.
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Facebook Is Not A Place for Interests

In the previous post we analysed Facebook, which is not only the most widely used social networking site, but also a perfect example of why Hive will make a good change in the world of social networking.

As a user, one of the most annoying features of Facebook is the chaotic timeline. More importantly, the majority of posts on my timeline cannot attract much of my attention. Although Facebook provides relatively fine-grained control of your timeline, it requires much management effort. Ironically, most of my closest friends agree on this problem with me; therefore they choose to be ‘silent’ on Facebook most of the time. As a result, I barely see their shares and thoughts.

Relationships on Facebook are the reflection of offline relationships, and this is one of the reasons why Facebook has become so successful. However, colleagues or school mates don’t necessarily share interests with you. In other words, Facebook cannot connect you with other users who are similar to you.

In order to demonstrate this observation, I developed a tool to analyse “like” information from Facebook users during easter. By calculating how many common likes you share with your friends, I can validate my assumption on this topic. Moreover, I will be able to know the ‘taste distance’ between my friends and me quantitatively.

All of our 4 group members participated in the analysis and we had similar results: Many of ours friends share hardly any common interests with us. Two charts will be given showing two of the user’s  friends networks and the number of common likes between their friends.

Chart 1 shows that 65 of that user’s friends share less than 5 interests in common. 84% of his friends share no more than 10 commons with him. Only 3 have more than 25 common likes – that’s only 2 percent of his friends.

Chart 2 shows another user’s result. He has much more likes than the previous user. But it still shows very similar pattern in the chart. 61% of his friends have less than 5 interest in common with him, and 76% percent of his friends have less than 10 common interests with him. Only a limited number of his friends share many common interests with him. There is a number which also draws attention, out of his 600 friends, 97 of them haven’t added any interest information on Facebook.

It is also noted that, many users indeed add their interest information on Facebook. Taking myself as an example, my friends add average 130 likes on their pages. On the contrary, a portion of our friends haven’t added any likes into their profiles.

In conclusion, the analysis has shown the previous assumption that Facebook is not a place where friendships are based on interests.

On the other hand, because Facebook is not interest-centric, it could have resulted in  inaccuracy of this analysis. For example, a user likes The Beatles, The kinks and his friends can also simply state he likes music in 60s. Essentially, these two users have very similar music taste but the analysis is not able to reflect it.

This brings other topics such as information structure and granularity control which an interest-centric SNS should work on.

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Similar Existing Tools – Facebook and Pinterest

Facebook

Facebook is the most popular social network with 845 million users and allows users to register and create a profile. They can add other users as friends and then they can exchange messages and communicate with each other. Facebook is about having your real friends or people you know in a digital social network. Facebook gives the ability to the users to post on their wall about anything that is on their mind. This feature allows to the users to see what their friends thinking at the moment and then discuss about that instantly. Users can also share photos, so their friends can watch them, like them, or even comment them.

Facebook is trying to suggest to the users some other users that may know. Most common example is when Facebook suggest us a user that we have many common friends, so there is a high possibility that we already know each other, but we are not friends on Facebook.

When creating your Facebook profile at the beginning you can enter information such like what school you went, where you work, what are your interests and much more. For “X”, we could get a user’s information (if he gives us the permission) to get what his interests are and what he is tend to like so we can use this information to suggest him other users.

Pinterest

Pinterest is a web application for sharing interesting videos and photos. It borrows the idea of pining and board from real life. Users can create a board which is an abstract concept and pin images and videos on it. By pinning interesting things on boards, they are able to share these interesting items to their friends(followers). If a photo, for example, hits a user’s interest, they can repin it to their own board.

Users can pin both inside Pinterest and outside the application. Pinterest provides a “pin it” button that can be added to bookmark bar in the browser so when users find interesting photos or videos, by clicking the button, the images or vides are added to Pinterest seamlessly.

Our goal is to connect everyone in the world through the ‘things’ they find interesting. We think that a favourite book, toy, or recipe can reveal a common link between two people. [1]

This is the goal that is stated by the creators of Pinterest. With very limited short of time, Pinterest has indeed attract million users. [2] Not only the number of users has increased in a short of time, but also the referral traffic. According to a study, Pinterest now generates more referral traffic than Twitter. [3]

Moreover, Pinterest has arguably behaved even better than Facebook as an e-business platform. Since it has already be generating tens of millions of dollars in revenue through affiliate fees received from vendors who are refereed users from the service. [4]

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Similar Existing Tools – GetGlue and Meetup

GetGlue Logo

GetGlue is a leading social network for entertainment. Users check-in and share what they are watching, listening to and reading with friends. Based on their check-ins they will receive points and may earn virtual stickers, receive fresh recommendations, and can earn discounts for over 25 media companies and other rewards from their favourite shows and movies. Moreover, once a month, users can request to have real versions of the stickers they earn online mailed to them for no cost. Stickers are typically mailed in batches of approximately 20. Watch the demo to check out what’s GetGlue about:

GetGlue is a recognized leader in social television and second screen applications. GetGlue has 2M users that checked-in over 100M times in 2011. 75 major networks and 10 movie studios use GetGlue to promote their shows and movies to fans.

Click here to watch an interview with Maya Harris, Director of business development of GetGlue, discussing about how GetGlue as a social media goes well with sports as an interest for sport fans.

GetGlue is available at GetGlue.com and via a variety of GetGlue apps. The GetGlue mobile app enables users to check-in to TV shows, movies, music and books, plus see what their friends are consuming in real-time. On GetGlue.com users can quickly build up their taste profile, get fresh suggestions every week, browse top lists and find taste neighbours.

Watch GetGlue iPhone app demo:

Look at the pictures of GetGlue iPhone app:

GetGlue partners include 20th Century Fox, The CW, AMC, ABC Family, Disney Theatrical, Discovery, ESPN, FOX, Food Network, Hachette, HBO, HGTV, MTV, MSNBC, Showtime, Penguin, PBS, Random House, Simon and Schuster, Syfy, Sony Pictures, Travel Channel, USA Network, Universal Pictures, and Warner Bros. theatrical.

According to Guardian, “GetGlue raises $12m funding round to fuel social TV ambitions”.

Meetup

Meetup is a web Site that helps you find groups that they may interest you and has approximately 8 million users. The way you search is by entering a word on a field and you declare what kind of group you want to search. For example you may want to search groups that have to do with movies. Also you have the option to enter your location, so the results will be near to you. If the result satisfies the user, then he can register to the group, so he can discuss with other members about the particular topic of the group. To register to a group you have to sign up either with your Facebook account or, by creating a new account using meetup’s sign up option.

The web site also gives you the ability to create a new group. To do that, you have to enter information such a name, a location, a purpose, a description, a theme etc.

There are lot of differences between Hive and meetup. The biggest one, is that with Hive you will have the ability to make friends with similar interests not only joining groups. Also Hive will suggest to the users some possible friends, so the user can find friends not only by searching. Another difference between these two is that in Hive, the user will have his own timeline to post and interact with his friends. This is not provided by meetup. Also because of the interest declaration by the users at the begging in Hive, a user can have invitations from other users. In contrast, in meetup this is one way only. Only users can find groups, and not the vice versa.

Concluding, there are more differences than similarities between these two Sites, so we believe that users that are not attracted by meetup will hopefully be, by Hive.

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Related News Items

Harry and Andy have been trawling the WWW, and in our first ‘background research’ post, we share with you some recent news items relating to our project. We are currently analysing existing similar tools to our project idea, and we will post the first of our findings in the next post.

Facebook rolls out ‘interest lists’ (12/03/12)

Facebook reveals a new feature which allows users to subscribe to ‘lists’ of interests created by Facebook; allowing them to filter their news feeds so they see stories from Facebook pages related to specific types of interest.

Thoughts: something like this could be incorporated into our site – users could create their own personlised list of tags of similar interests which could be used to filter posts from their friends, e.g. all FPS video games tags under one list and all sports video games under another.

http://www.telegraph.co.uk/technology/facebook/9134205/Facebook-rolls-out-interest-lists.html

OurPangea is Constructing A New Perspective on Interest-based Networking (06/03/12)

OurPangea wants to create a new interest-based social network. “The underlying structure of OurPangea.com is intended to give its users a simple and engaging experience that allows them to share the interests and activities they love with the other people in area, creating mini-groups and communities in the process”.

Thoughts: Their vision appears to be the same as ours, so the idea is not entirely new. How their website turns out could be very interesting.

http://www.sfgate.com/cgi-bin/article.cgi?f=/g/a/2012/03/06/prweb9251515.DTL

When Will Social Search Engine Volunia Deliver its Quantum Leap? (14/03/12)

Volunia is a ‘social’ search engine. “With Volunia, users will be able to see from the SERP if other users connected with the website are online and actually engage in live chat about the page. Rather than seeing personalized results based on which of your social contacts have commented on or posted about a topic, Volunia opens the doors to actually meeting new people associated with a result.” This could be a very interesting way for people to talk with others who share the same interests.

Thoughts: There seems to be a growing trend in new projects which want to create social networks based on people’s interests.

http://searchenginewatch.com/article/2159251/When-Will-Social-Search-Engine-Volunia-Deliver-its-Quantum-Leap

Interview with Jack Dorsey (29/12/10)

Interview with Jack Dorsey
Kevin rose, the founder of Digg and one of the investors of Twitter had an interview with Twitter founder and CEO, Jack Dorsey. During the interview, they talked about the history of Twitter and Jack’s personal interests. Kevin asked an interesting question to Jack about how Twitter could filter out specific information. For instance, If someone is only interested in the tweets about technology Jack posted, how the irrelevant tweets can be filtered out of that user’s timeline.

Thoughts: Currently, the timelines of users in social networks are chaotic, especially the ones in Facebook. Many updates from friends in real life, for example, “The hanover is so bad”, are not interesting. If a social network can filter specific information based on users’ interests, the timeline will be much more readable and valuable.

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Our Chosen Idea – An Interest-based Social Network

After some group discussion, we have chosen to proceed with idea 2 – an interest-based social networking site.

Why have we chosen this idea?

It is something that is missing from the world of online social networks. There are websites such as Facebook which primarily connects users with people they already know or people they may know, as well as sites which allow users to interact based on specific interests; however there appears to be nothing that combines the ‘social’ aspects with the ‘interest’ aspect.

There are very few platforms which allow a user to form ‘real’ friendships with people who share the same set of interests. Allowing users to make friends in this way could not only create an online network of people who can discuss, teach and inspire each other on the things they are passionate about, but also form friendships where meeting in real life can be possible without having to be a member of a dating website. The aim is to create truly ‘social’ network like Facebook but based on what people are interested in rather than whom people know.

Some initial ideas on website features

The site will use a keyword tagging system for interests – each user would essentially tag themselves with their interests. The site would:

  • Allow users to search for others with the same interests or be recommended friends based on how many interests they have in common and their location.
  • Allow users to post status updates but each update must be ‘tagged’ with one of their interests; this way their friends will only see posts related to their mutual interests.
  • Allow users to chat and have group discussions about their interests, each chat room would also be tagged with an interest.

Having a site such as this would eliminate the viewing of un-interesting posts from ‘friends’ which users barely speak to on sites such as Facebook, while retaining the aim of encouraging users to socialise.

Our next step is to do some background research to find sources of information that are useful and relevant to our project. In the next few posts, we will share with you what we have found, and we will continue to do this throughout the project as we find additional sources of information.

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