We are pleased to announce that a number of new features recently went live! We've summarized in this post the five most significant improvements including a ~50x speedup to the default layout algorithm.
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.
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.
We are thrilled to announce that a number of important new features have recently gone live in Polinode. There are four major new features: layers, roll-up functionality, themes and improved node labels.
By far our most requested feature over the last 12 months has been to add snowball survey functionality. Today we are announcing we've added snowball survey functionality to Polinode. We've also simplified our pricing and made a few other improvements.
Our new API (Application Programming Interface) means that it is now possible to create, retrieve, update and delete networks in Polinode by writing some fairly simple code. Since it's a REST API we support essentially any programming language you would like to use.
We are thrilled to announce that a number of new features recently went live! There are two new features that are particularly worth highlighting: the ability to save node positions across different network views and the ability to interactively calculate density matrices for a given attribute.
We've just added two new powerful layout algorithms to Polinode: Distribute Nodes and Plot Nodes. Together with our Force Directed and Hierarchical algorithms, this brings us to a total of four available layout algorithms. Read on to learn about how you can use these new layout algorithms to provide deep insight into your data.
We've just added five new features to Polinode. Here's the short version:
- Mardkown is now supported
- You can open up the ability to explore networks generated via surveys
- Users can be uploaded via an Excel file
- The force directed layout now differentiates between hidden and visible nodes and edges
- SVG export is much richer
Read on for all the details!
We are thrilled to report that over the last couple of weeks we passed two important milestones.
We are thrilled with all of the feature requests we've been getting over the last couple of months! Today we are announcing three improvements designed to help you more effectively and efficiently visualize networks.
Today we are thrilled to announce that we have added 13 new powerful metrics designed for the efficient analysis of network data. These metrics are in addition to the seven metrics that were previously available, so there are now a total of 20 metrics that you can calculate using Polinode.
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’.
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!
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!
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.