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X (formerly) Twitter Analytics with NodeXL Pro

NodeXL Pro offers several ways to create network and content analyses with data collected from X (formerly Twitter):

Further, if you have access to one of the following commercial data providers, you can download your data sets as Excel files and easily import them into NodeXL:

Network map of Twitter API
  • Brandwatch Importer: Harness the power of networks by importing X data sets collected via Brandwatch.
  • Meltwater Importer: Import your Meltwater data sets and NodeXL Pro will transform the data into a full-scale social and content network analysis.
  • Talkwalker Importer: Easily turn your Talkwalker data into a network map with rich sets of network metrics on the overall network, its subgroups and users.
  • Tweet Binder Importer: Create a social network and content analysis with your Tweet Binder data.

NodeXL Pro network reports can be exported to NodeXL Pro INSIGHTS which is a Microsoft Power BI report template that allows the creation of interactive network reports.

Get started by requesting a free sample report to see NodeXL in action, or sign up for a personalized demo to explore the full capabilities of our software.

Ready to dive deeper? Purchase a license today and transform your approach to social media analysis with the precision and expertise of NodeXL.

How to read a network map?

A good place to start your network journey is the NodeXL PEW Report about network shapes is a study that uses NodeXL, a tool for visualizing and analyzing networks, to explore various types of social media and online networks. Here’s a simple breakdown of what this report generally covers and why it’s important for someone new to the concept:

  1. Understanding Network Shapes: The report classifies different types of social networks into distinct shapes based on how people are connected. Each shape tells us something about the nature of interactions in that network. For example, a tightly-knit cluster might indicate a group of friends or colleagues who interact frequently, whereas a star-shaped network could represent a celebrity or a central influencer with many followers who don’t interact with each other much.
  2. Types of Networks: The PEW report typically identifies several key network types, such as divided, unified, fragmented, clustered, and outward hub and spoke. These categories help researchers and marketers understand how information flows in different contexts and can influence strategies for communication or advertising.
  3. Practical Applications: By understanding the structure of these networks, organizations can better strategize their communication or marketing efforts to fit the nature of the network. For example, a message that works well in a tightly-knit community may not perform as well in a more loosely connected network.
  4. Insights from Data: The report uses data visualizations to make it easier to understand complex relationships within networks. These visualizations help highlight the direct and indirect relationships between different nodes (which could be people, posts, or conversations) and the overall structure of the network.
  5. Research Implications: For researchers, the report provides a foundation to further explore how social structures affect communication, dissemination of information, and influence within networks. This can be useful in fields like sociology, marketing, psychology, and information technology.

Join one of our NodeXL Academy Events for beginners to start discovering the world of networks!

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