LinkedIn is a social media site that is primarily used for professional networking. LinkedIn members can belong to groups and view or participate in discussions.
You can import content from LinkedIn groups and discussions that you have collected with NCapture.
What do you want to do?
Content from LinkedIn groups and discussions can be captured and imported into NVivo. Before you can import LinkedIn content into NVivo, you first need to have captured it with NCapture.
By default, discussions from LinkedIn groups are captured as a dataset. Information about the originator of the discussion—for example, Headline, Location, Industry, and Number of Connections is also included, where available. Alternatively, you can capture the web page showing LinkedIn group discussions as a PDF but you will not be able to sort, filter, or auto code the data. All other pages in LinkedIn—for example, your Home or Contacts pages can only be captured as a PDF file.
NCapture is a web browser extension that enables you to gather material from the web to import into NVivo 10 (or later). NCapture may have been installed together with NVivo on your computer.
For information about capturing content from LinkedIn, refer to the NCapture Help.
On the External Data tab, in the Import group, click From Other Sources, and then click From NCapture.
The Import from NCapture dialog box opens displaying the default folder location and any NCapture files that are stored at that location. If you want, you can import NCapture files from a different location—click Browse, and then change the folder location.
Select one of the following options:
All captures not previously imported Selects all NCapture files in the current location that have not been previously imported into your project.
All captures Selects all NCapture files in the current location.
Selected captures Allows you to choose which NCapture files you want to import. Select or clear the check boxes as required.
Click Import. The NCapture files are imported into the current folder location in your project.
NOTE If the Merge matching social media datasets (including previously imported) check box is selected, any matching LinkedIn datasets are merged together. LinkedIn datasets are considered to be matching if they are based on the same group or discussion. Matching datasets do not need to have the same Source Names. Refer to Approaches to analyzing LinkedIn data (Gather LinkedIn data over time) for more information.
You can import LinkedIn data as a new dataset or merge the data into an existing dataset based on the same group or discussion. If you have not previously imported similar LinkedIn data, or do not choose to merge matching social media datasets when you import the data, then a new dataset is created.
Information you provided at the time of capture is imported as follows:
Your description becomes the description of the dataset
Your memo becomes a memo linked to the dataset (when you merge matching datasets, memo content is merged too)
If you specified nodes at the time of capture, these nodes are created (unless they already exist) and the entire dataset is coded at these nodes. Refer to About coding (Coding entire sources to a node) for more information.
Any hyperlinks from the posts are retained in the source and you can click on a hyperlink to follow it.
The dataset is automatically classified with the source classification 'Reference'. Information (metadata)—for example, URL and Access Date—is stored as attribute values for the source.
By default, biographical information (Date of Birth, Location and Headline) for each user will be imported together with discussion posts. If you prefer not to see this information, you can change your preferences in Project Properties to exclude some or all of the fields. Refer to Approaches to analyzing LinkedIn data (Exclude biographical information when you import the data).
If a user has restricted access to their standard profile, then their Username and biographical information is not captured.