Open source social media analytics tools are software that do the same things as commercial tools but they cost less and encourage collaboration between developers. Rather than offering a single product, an open source social media analytics tool may offer a suite of analytic tools or modules that can be combined to achieve different goals (e.g., monitoring videos, forums, social bookmarking sites, etc.).
You may be familiar with our marketing analytics tools, but we know you’ve got great ideas for other products too. We want to give you the ability to become an open source business, releasing projects and data schemas in your own name. This is the future of business.
First amazing Twitter management solution
TwtBoard is a social media management tool built specifically for Twitter marketing, management, and analytics. On top of most features that social media management tools provide, It allows you to manage all your Twitter accounts for free, it makes their users do regular activities like viewing profiles, sending and receiving tweets, retweets, and more.
TwtBoard has some impressive integrations such as tools to organize their friend’s tweets, Twitter fans could handle as many tweets received from friends.
It is available on the web, desktop, and mobiles(Android and iOS). It is written in C# language.
- Follower Management
- Tweet Management
- Unfollowers Management
- Account Actions
- Retweet and Favorite
- Campaign Manager
- Tweet Creator
tl;dr: Light system footprint and provides some interesting data visualization options. Useful if you don’t have a pre-existing data set, but the one generated here is fairly small.
NodeXL is essentially a complex Excel template (it’s classified as a Microsoft Office customization), which means it doesn’t take up a lot of space on your hard drive. It does have advantages; it’s easy to use, only requiring a simple search to retrieve tweets for you to analyze. However, its capabilities for large-scale analysis are limited; the user is restricted to retrieving the most recent 2,000 tweets. For example, searching Twitter for #halloween imported 2,000 tweets, every single one from the date of this writing. It is worth mentioning that there is a fancy, paid version that will expand your limit to 18,000, the maximum allowed by Twitter’s API, or 7 to 8 days ago, whichever comes first. Even then, you cannot restrict your data retrieval by date. NodeXL is a tool that would mostly be most successful in pulling recent social media data. In addition, if you want to study something besides Twitter, you will have to pay to get any other type of dataset, i.e., Facebook, Youtube, Flickr.
Strengths: Good for a beginner, differentiates between Mentions/Retweets and original Tweets, provides a dataset, some light data visualization tools, offers Help hints on hover.
The most intelligent analysis tool on Twitter
tinfoleak is more than a Twitter management tool; it is a powerful analysis twitter tool that automates the extraction of information on Twitter and facilitates subsequent analysis. It analyzes the Twitter timeline to extract great volumes of data.
tinfoleakis great for researchers who want to organize, analyze the data and extract the whole benefits from it.
It can extract the account information, user activity, protected accounts, user relations, hashtags, mentions, likes, and more.
It is licensed under CC-BY-SA-4.0 License and written in python and HTML.
- Automate the extraction of information
- Facilitates subsequent analysis for the generation of intelligence
- Taking a user identifier, geographic coordinates, or keywords
- It is included in several Linux Distributions
- Open source
tl;dr: Add-on for Google Sheets, giving it a light system footprint as well. Higher restriction for number of tweets. TAGS has the added benefit of automated data retrieval, so you can track trends over time. Data visualization tool in beta, needs more development.
TAGS is another complex spreadsheet template, this time created for use with Google Sheets. TAGS does not have a paid version with more social media options; it can only be used for Twitter analysis. However, it does not have the same tweet retrieval limit as NodeXL. The only limit is 18,000 or seven days ago, which is dictated by Twitter’s Terms of Service, not the creators of this tool. My same search for #halloween with a limit set at 10,000 retrieved 9,902 tweets within the past seven days.
TAGS also offers a data visualization tool, TAGSExplorer, that is promising but still needs work to realize its potential. As it stands now in beta mode, even a dataset of 2,000 records puts so much strain on the program that it cannot keep up with the user. It can be used with smaller datasets, but still needs work. It does offer a few interesting additional analysis parameters that NodeXL lacked, such as ability to see Top Tweeters and Top Hashtags, which works better than the graph.
Strengths: More data fields, such as the user’s follower and friend count, location, and language (if available), better advanced search (Boolean capabilities, restrict by date or follower count), automated data retrieval.
Social publishing simplified
Socioboard is a social media management tool that focuses on content marketing and streamlines its social media operations. It aims to help brands and businesses to manage their social media, leading companies in their digital space to create plans and schedule their content.
- Managing multiple social accounts made easy
- Detailed analytics to make your stay ahead of the curve
- Simplified RSS feed
- Auto-Email reports
- Team Collaboration
- Save time with flexible scheduling
- Manage multiple social accounts easily.
- It helps you to stay ahead with top-class analytics
tl;dr: A tool used for “re-hydrating” tweet IDs into full tweets, to comply with Twitter’s Terms of Service. Not used for data analysis; useful for retrieving large datasets. Limited to datasets already available.
Documenting the Now, a group focused on collecting and preserving digital content, created the Hydrator tool to comply with Twitter’s Terms of Service. Download and distribution of full tweets to third parties is not allowed, but distribution of tweet IDs is allowed. The organization manages a Tweet Catalog with files that can be downloaded and run through the Hydrator to view the full Tweet. Researchers are also invited to submit their own dataset of Tweet IDs, but this requires use of other software to download them. This tool does not offer any data visualization, but is useful for studying and sharing large datasets (the file for the 115th US Congress contains 1,430,133 tweets!). Researchers are limited to what has already been collected, but multiple organizations provide publicly downloadable tweet ID datasets, such as Harvard’s Dataverse. Note that the rate of hydration is also limited by Twitter’s API, and the Hydrator tool manages that for you. Some of these datasets contain millions of tweet IDs, and will take days to be transformed into full tweets.
Strengths: Provides full tweets for analysis, straightforward interface
Weaknesses: No data analysis tools
These tools are free and open source software for social media analytics, made available to you by the ThinkUp project.