Such lists of Tweet IDs are also available from commercial data providers like Brandwatch, Radian6 and Crimson Hexagon – but not cheaply! If you are working with any Twitter tool that allows the export of Tweet IDs, you can paste that list into this importer and easily run social network and content analysis.Īcademics can collect Tweet IDs via the new Twitter Academic Research Track without any costs. That said, NodeXL can process any list of tweet IDs with the NodeXL Pro Tweet ID List importer without any time limit involved. Also the collection of follower network data with this importer is very slow. Using the NodeXL Pro User Network importer the maximum number of available tweets per user is 3.200 without any time limit, going backwards in time from the date of your query. Since: and Until: operators scope the time frame of the query. You are able to get more data from within that time frame by using the SINCE: and UNTIL: operators – example:QUERYTERM since: until. Also, queries cannot return more than 18,000 tweets. NodeXL Basic and Pro are both effected by these limits.ĭata collected with the NodeXL Pro Twitter Search Network importer is available only from the past 8-9 days. Twitter controls its API and throttles it based on unknowable parameters. Moreover Twitter’s public free API has many limits.
Before your first data import you need to authorize NodeXL by entering a token number which is automatically sent to you during the authorization process. The use of NodeXL Pro Twitter data importers requires a Twitter account. Remote VMs place almost zero resource demands on the client machine (the Mac) and do not require special amounts of RAM or features to perform well. In contrast, the remote virtual machines may be accessed using the free “Remote Desktop” application from Microsoft (available for all Macs): While it *is* possible to run a local VM on a MacBook, this is not a performant way to run the application (it can be slow!).įurther, a MacBook running Windows plus Office plus NodeXL should have no less than 16GB of RAM. Here is an article about creating a virtual machine in the Amazon Elastic Compute Cloud (EC2): But this process is a little complicated and may take a while to set up. Mac users can also create their own Virtual Machine. This Virtual Machine is available via almost any web browser.
NodeXL Pro Monthly Cloud edition is now available with a fully configured Virtual Windows Machine, Office and NodeXL Pro installed via Amazon Appstream. Mac users interested in NodeXL have several options: NodeXL works on Windows operating systems only.
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