New Features: New Metrics, Improved Labels, Simplified API and More

We really appreciate all the terrific suggestions for new features and improvements that have been provided recently! Today we are announcing that a number of new features have recently gone live: three new metrics, improved visual appearance of labels, a new simplified version of our API, the ability to save node positions when saving survey views and the ability to isolate a nodes edges by type. Below we describe each one of these five improvements.

Announcing an Integration Between Polinode and NodeXL Pro

Today we are thrilled to jointly announce with the Social Media Research Foundation,
developers of NodeXL, that NodeXL Pro now directly exports to Polinode Networks. This is a
very powerful integration and one that many users have asked for over the last few years. If you
haven’t come across NodeXL before, it’s a popular Excel add-in that supports social network
analysis. NodeXL Pro is the paid version of NodeXL and supports the collection of data from
social networks such as Facebook, Twitter and YouTube.


The bottom line is that by using this direct integration you can now collect social network data
directly from these social networks without writing a line of code and then export that data
directly into Polinode. Polinode is a browser-based tool for visualising and analysing network
data - one of the key attractions of using Polinode is that, because it’s browser-based, it’s easy
to share and collaborate on the analysis of social network data.

You Can Now Share your Networks With the World!

Polinode is all about networks and network data, so it should come as no surprise that enabling you to efficiently share networks that you’ve created with others (i.e. with your network) has always been a priority for us. As of today, you can make any network a public network and then share a link to your network and anyone will then be able to visualise and explore your data.  The easiest way of thinking about this functionality is ‘Gephi in the cloud’ combined with ‘Github for networks’.

Our Most Requested Feature is Now Live: Upload Network Data to Polinode

Ever since we launched the private beta of Polinode we have heard a consistent piece of feedback - you, our users, would really like the ability to upload any network data into Polinode and use our tools to visualize and analyze it. Today we are announcing that we have added that feature! Uploading data is as easy as preparing an Excel file with two worksheets - one summarizing the nodes in the network and the other summarizing the edges. The only required data for nodes is a list of names and the only required data for the edges is the names of the two nodes that the edge connects. So, all you need is an Excel file with three columns like the below images and Polinode will take care of the rest!

7 New Features to Help You Explore and Analyze Networks Faster and Smarter with Polinode

We are excited to announce the addition of seven new features to Polinode today. There are currently over 200 users participating in the Polinode beta and we are always pleased to receive ideas and feedback. The idea behind these new features is to help you interact with network data more efficiently and to gain deeper insights into organizations than would otherwise be possible. We hope you enjoy trying them out and please let us know any feedback or further ideas you may have!

Introducing Polinode: A New Tool For Understanding and Optimizing Organizations via Network Analysis

Today we are thrilled to publicly announce Polinode - a fully integrated tool for mapping, analyzing and visualizing relationships within organisations. It’s now straightforward to collect information like who works with whom, who do people go to for technical advice and what mentor/mentee relationships exist?

The key to Polinode is it’s flexibility - you can literally ask any question at all. Because of this flexibility, the applications for Polinode are limited only by your imagination. Some areas though where this kind of organizational network analysis is particularly helpful include: change management, identifying emerging talent, improving communication, succession planning, onboarding of new team members and mergers and acquisition integration.