social-networking

Visualize a social network to show how often a user is mentioned in R [closed]

╄→尐↘猪︶ㄣ 提交于 2019-12-01 14:48:26
Given a data frame as following: v1 v2 v3 v4 v5 tom A pinky A 3 ben B hugo C 2 lily A tom A 1 ... Which denotes that v1 from group v2 has mentioned v3 from group v4 for v5 times. For instance, tom from group A has mentioned pinky from group A for 3 times. Now I'd like to plot a social network, each user denoted by a point and its size is proportional to the times he or she has been mentioned totally. And there is a line linkage two points if they have mentioned each other mutually or unilaterally. As I look into the ggplot document, I can not find any function to do it. Do you have any idea?

Facebook/Twitter login in my application

寵の児 提交于 2019-12-01 09:18:05
问题 I am developing my site and in my site I want users to login through their social network credentials like Facebook and Twitter. How should I track these users whenever they do any event on my site? Suppose a user logs in with Facebook username & password, and now he is redirected to the next page. On that page, we are doing some activity like 'add something'. How to track this? Is there any procedure for working with this? 回答1: The common practice is to associate user's Facebook or Twitter

How to filter data in R?

♀尐吖头ヾ 提交于 2019-12-01 06:42:28
I have huge data sets which contains more than millions of rows and has some peculiar attributes. I need to filter the data retaining its other properties. My data is as like following: ID Prop1 Prop2 TotalProp 56891940 G02 G02 2 56892558 A61 G02 4 56892558 A61 A61 4 56892558 G02 A61 4 56892558 A61 A61 4 56892552 B61 B61 3 56892552 B61 B61 3 56892552 B61 A61 3 56892559 B61 G61 3 56892559 B61 B61 3 56892559 B61 B61 3 and so on more than million rows What I want is, I need to remove rows if all rows ID having 56891940 and 56892559 which have "prop1" and "prop2" same but not 56892558 and 56892559

How to filter data in R?

余生长醉 提交于 2019-12-01 05:29:10
问题 I have huge data sets which contains more than millions of rows and has some peculiar attributes. I need to filter the data retaining its other properties. My data is as like following: ID Prop1 Prop2 TotalProp 56891940 G02 G02 2 56892558 A61 G02 4 56892558 A61 A61 4 56892558 G02 A61 4 56892558 A61 A61 4 56892552 B61 B61 3 56892552 B61 B61 3 56892552 B61 A61 3 56892559 B61 G61 3 56892559 B61 B61 3 56892559 B61 B61 3 and so on more than million rows What I want is, I need to remove rows if all

What's the deal with “data:post.url”, “data:post.title”, etc

梦想与她 提交于 2019-12-01 00:07:16
Would someone be so kind as to explain what this data object is (if it is an object) and if there is any documentation on it. I was adding social sharing buttons to an app and decided I wanted to put a share to Blogger button on there, just for the fun of it. I could not find a page that had an official 'share to Blogger' button, like Facebook has an official 'like' button, or Twitter, a 'tweet' button. What I did find was this post on adding sharing buttons to a blog with the attached text file. I noticed that most, if not all of the html tags use the 'data:post.url' and 'data:post.title' to

How to fix the “pending” status in Chrome Developer Window?

流过昼夜 提交于 2019-11-30 22:21:28
问题 When I try to include social media scripts into my page, I get the "pending" status in Chrome on some computers (not all of them): https://s17.postimg.cc/xvpjllmwv/image.png In other words, the scripts are not loaded. The scripts are included via the default way as recommended by the developer's guide. What settings of Chrome may cause such behavior? 回答1: This is due to the Ad-block or some plugin you are using with the chrome. Disabling the ad-block/plugin which blocks the requests will fix

Format for importing edgelist into igraph in python

社会主义新天地 提交于 2019-11-30 18:39:38
问题 What is the edgelist format accepted by igraph for import into python? What should the textfile that contains my weighted edges look like? I've used igraph with R before, but don't have a working R installation on the machine I need to use---so I'm stuck in python. I have an egelist.txt something like this: 123123, 321321, 1 222222, 333333, 2 123123, 333333, 3 222222, 321321, 4 ...where the values are in (source, target, weight) form. How would I import this in python? Or should I reformat my

How can I satisfy an import of direct_to_template?

a 夏天 提交于 2019-11-30 17:06:04
I am getting an error page from an originally Pinax 0.7 project: ImportError at / No module named simple Request Method: GET Request URL: http://stornge.com:8000/ Django Version: 1.5 Exception Type: ImportError Exception Value: No module named simple Exception Location: /home/jonathan/clay/../clay/urls.py in <module>, line 3 Python Executable: /home/jonathan/virtual_environment/bin/python Python Version: 2.7.3 Python Path: ['/home/jonathan/clay/apps', '/home/jonathan/virtual_environment/local/lib/python2.7/site-packages/pinax/apps', '/home/jonathan/clay', '/home/jonathan/virtual_environment

How can I satisfy an import of direct_to_template?

二次信任 提交于 2019-11-30 16:26:23
问题 I am getting an error page from an originally Pinax 0.7 project: ImportError at / No module named simple Request Method: GET Request URL: http://stornge.com:8000/ Django Version: 1.5 Exception Type: ImportError Exception Value: No module named simple Exception Location: /home/jonathan/clay/../clay/urls.py in <module>, line 3 Python Executable: /home/jonathan/virtual_environment/bin/python Python Version: 2.7.3 Python Path: ['/home/jonathan/clay/apps', '/home/jonathan/virtual_environment/local

automatic notification in database change :similar with facebook friend request

你离开我真会死。 提交于 2019-11-30 16:06:49
问题 i wish to develeop a php mysql based social networking site. Registered users will have the option to add another user as a friend just as is done in Facebook. If user A clicks on the 'add friend' link on user B's profile, friend-request records will be made in A's and B's databases accordingly. When B visits the waiting friend-requests- showing-page ( as such the profile page), the request will be shown querying B's db.This much is pretty simple to do i think. But while B is online, C can