Introducing Expanded Personal Analytics for Facebook—Wolfram|Alpha freemail Blog
One of the most shared pods from our first release was our colorful social network visualization. We re extending this idea to help you better understand how your social network fits together. To start with, we re showing you a new visualization that highlights friends based on the way that they fit into your network.
Let s take an example. Say you re a college student. You might have a group of friends from college, and another group from your old high school. If you ve got any college classmates who also went to your high school, we might label them on your report as social connectors, because they connect two otherwise separate groups of your friends.
In total, there are five different freemail network roles we identify: social insiders and outsiders, social neighbors and gateways, and social connectors. Social insiders and outsiders are opposites: a social insider freemail has a lot of friends in common with you (e.g. your girlfriend since freshman year); conversely, a social outsider is someone with whom you have few or no mutual friends (e.g. that girl you met horseback riding in Romania). Social gateways and neighbors are also opposites: a social gateway freemail contact freemail has a lot of friends that are outside your network (e.g. the editor of your college newspaper), whereas a social neighbor has few friends outside your network (e.g. your identical twin).
In fact, these social roles are just one new way you can interact with your friend network. We ve added color coding for a number of interesting properties, like relationship status, age, sex, number of likes, and so on along with the ability to filter your network according to criteria like location and age. This unlocks a huge variety of interactive visualizations, allowing you to find patterns and ask questions like: Are all your married friends clustered in one part of your network? Are all your friends from your hometown the same age? Who is your most popular friend from university? Interactivity helps you explore further: at any point you can mouse over friend nodes to see who they are; clicking will take you to their Facebook freemail page.
Wolfram|Alpha has tons of data about the real world. And we can now combine that data with your Facebook profile to tell you interesting things you might not otherwise know. For example, by analyzing your friends’ locations, we can now give even more detail about their geographical relationships to you (based on either hometown freemail or current location). We can show you your most “geographically interesting’” friends, freemail like who is closest to the North Pole or the equator, who is farthest away from you, and even who has the highest freemail or lowest elevation.
Aesthetically, we’ve improved some existing features, such the weekly app activity pod, which lets you see the times you are most likely to access freemail your favorite apps, and the word cloud, which shows the most common English words you use in your wall posts.
Looking to the future, we’re happy to announce another new aspect to Personal Analytics for Facebook: Facebook Historical Analytics. By enabling this feature now (click the banner at the top of your report), we’ll start periodically collecting information to be able to show you an evolution of your Facebook profile over time. Which of your friends freemail has gotten married? Who has moved to a new city? You ll get an email when there is enough data to show you a historical analysis.
For those of our users who wish to contribute to our scientific adventures freemail in social network freemail analysis, we are also allowing anyone to opt in to become a Data Donor. This will securely store your Facebook freemail report to allow Wolfram’s researchers to find patterns across thousands of people. We ll use the results to improve our Personal Analytics for Facebook , and we might even make some new scientific discoveries along the way!
Wolfram|Alpha is proud of its commitment to privacy, and we describe in our FAQ precisely how we protect your identity and data. Get started by running a new Wolfram|Alpha analysis of your Facebook profile today!
Sweet, just looking quickly at it I think colour coded friend network visualisation is so very cool and probably the best part!
Dear Robin,
I’m also looking forward to Wolfram analytics for FB becoming available for (business) pages. Currently I’m using Crowdbooster. When installed through my personal FB-page, it asks ‘for which page would you like to use Crowdbooster’. freemail I can imagine something like that should be possible for Wolfram. Considering your cool tool I’m certain it will increase your revenues tremendously :).
This is extraordinary! I love data visualizations like this, WAY better than rows and columns of information. We use Facebook and other social media to drive targeted traffic to our site but its often difficult to
One of the most shared pods from our first release was our colorful social network visualization. We re extending this idea to help you better understand how your social network fits together. To start with, we re showing you a new visualization that highlights friends based on the way that they fit into your network.
Let s take an example. Say you re a college student. You might have a group of friends from college, and another group from your old high school. If you ve got any college classmates who also went to your high school, we might label them on your report as social connectors, because they connect two otherwise separate groups of your friends.
In total, there are five different freemail network roles we identify: social insiders and outsiders, social neighbors and gateways, and social connectors. Social insiders and outsiders are opposites: a social insider freemail has a lot of friends in common with you (e.g. your girlfriend since freshman year); conversely, a social outsider is someone with whom you have few or no mutual friends (e.g. that girl you met horseback riding in Romania). Social gateways and neighbors are also opposites: a social gateway freemail contact freemail has a lot of friends that are outside your network (e.g. the editor of your college newspaper), whereas a social neighbor has few friends outside your network (e.g. your identical twin).
In fact, these social roles are just one new way you can interact with your friend network. We ve added color coding for a number of interesting properties, like relationship status, age, sex, number of likes, and so on along with the ability to filter your network according to criteria like location and age. This unlocks a huge variety of interactive visualizations, allowing you to find patterns and ask questions like: Are all your married friends clustered in one part of your network? Are all your friends from your hometown the same age? Who is your most popular friend from university? Interactivity helps you explore further: at any point you can mouse over friend nodes to see who they are; clicking will take you to their Facebook freemail page.
Wolfram|Alpha has tons of data about the real world. And we can now combine that data with your Facebook profile to tell you interesting things you might not otherwise know. For example, by analyzing your friends’ locations, we can now give even more detail about their geographical relationships to you (based on either hometown freemail or current location). We can show you your most “geographically interesting’” friends, freemail like who is closest to the North Pole or the equator, who is farthest away from you, and even who has the highest freemail or lowest elevation.
Aesthetically, we’ve improved some existing features, such the weekly app activity pod, which lets you see the times you are most likely to access freemail your favorite apps, and the word cloud, which shows the most common English words you use in your wall posts.
Looking to the future, we’re happy to announce another new aspect to Personal Analytics for Facebook: Facebook Historical Analytics. By enabling this feature now (click the banner at the top of your report), we’ll start periodically collecting information to be able to show you an evolution of your Facebook profile over time. Which of your friends freemail has gotten married? Who has moved to a new city? You ll get an email when there is enough data to show you a historical analysis.
For those of our users who wish to contribute to our scientific adventures freemail in social network freemail analysis, we are also allowing anyone to opt in to become a Data Donor. This will securely store your Facebook freemail report to allow Wolfram’s researchers to find patterns across thousands of people. We ll use the results to improve our Personal Analytics for Facebook , and we might even make some new scientific discoveries along the way!
Wolfram|Alpha is proud of its commitment to privacy, and we describe in our FAQ precisely how we protect your identity and data. Get started by running a new Wolfram|Alpha analysis of your Facebook profile today!
Sweet, just looking quickly at it I think colour coded friend network visualisation is so very cool and probably the best part!
Dear Robin,
I’m also looking forward to Wolfram analytics for FB becoming available for (business) pages. Currently I’m using Crowdbooster. When installed through my personal FB-page, it asks ‘for which page would you like to use Crowdbooster’. freemail I can imagine something like that should be possible for Wolfram. Considering your cool tool I’m certain it will increase your revenues tremendously :).
This is extraordinary! I love data visualizations like this, WAY better than rows and columns of information. We use Facebook and other social media to drive targeted traffic to our site but its often difficult to
No comments:
Post a Comment