SocioViz is a social media analytics platform powered with Social Network Analysis metrics launched in 2014. Now was completely redesigned; actually analytics are available for Twitter only but in the near future will be extended to other main social media channels. The only prerequisite needed is having a Twitter account that will be used to query the Twitter API and gather results.
In addition to a new solid and secure infrastructure several new features was implemented:
- Search for any keyword, hashtag, emoji or user mention filtering by date and language
- Collect posts in real-time or search one week in the past (last 7 days) up to 50.000 tweets
- Various Social Network Analytics are available (users, hashtags, words, emoji)
- Export statistics and network data in various formats such as GEXF, GML, CSV, XLSX
A big news, two type of searches
Historical searches (in blue) allows you to search 1 week in the past with a maximum of 50.000 tweets for each query. Recurring searches (in green) collect tweets in “real-time” (new tweets are periodically collected and stored in groups of 100) with a maximum of 50.000 tweets per query. Please notice that number of concurrent searches and maximum of extracted tweets depends to your plan. Subscribe a free plan and click on upgrade my plan for more details.
Enhanced search parameters
In the Query field you could search for a single or multiple word/hashtag:
| Operators | Finds tweets… |
|---|---|
| made in Italy | containing the tree words “made” “in” “italy” (case insensitive). Also the composite word madeinitaly and the hashtag #madeinitaly will match the query. |
| madeinitaly | containing the word madeinitaly (case insensitive). Also the hashtag #madeinitaly will match the query |
| #madeinitaly | containing hashtag #madeinitaly |
| “made in italy” | containing the sentence “made in italy” (case insensitive) |
| from:realdonaldtrump | sent by user @realdonaldtrump |
| @realdonaldtrump | containing mentions to @realdonaldtrump |
| cat OR dog | containing the word cat or the word dog or both |
| cat AND dog | containing both words cat and dog |
| beer -root | containing the word beer but not the word root |
| #brexit filter:retweets | containing hashtag #brexit (tweets only) |
| #brexit -filter:retweets | containing hashtag #brexit (retweets only) |
| pizza OR 🍕 | containing word pizza or emoji 🍕 |
Words and emoji statistics
Most used words and emoji are showed in two tables. From a semantic point of view some words have no informational value and are removed.
And… Social Network Analysis
In addition to user interactions network and hashtag copresence network other two interesting network analytics are available: Emoji copresence network and words copresence network.
Each word is represented with a circle and is connected to another word when there is a co-presence in the same tweet; different colors represent different cluster of arguments that frequently goes together.
Each emoji is represented with a circle and is connected to another emoji when there is a co-presence in the same tweet; different colors represent different cluster of arguments that frequently goes together.
More details here
SocioViz: Social Network Analysis made easy (website)
SocioViz in 120 seconds (video)
SocioViz tutorial: first steps
Here follows the original blog post about old version of the platform (2014)
SocioViz is new born social media analytics platform powered with Social Network Analysis metrics; actually is available for Twitter but in the near future will be extended to other main social media channels.
The only prerequisite is having a Twitter account that will be used to query the Twitter API and gather results. After registering and creating a new account the main menu looks like this: 
In the Query field you could search for a single or multiple word/hashtag and adding some operators. For example:
| Operators | Finds tweets… |
| made in Italy | containing the tree words “made” “in” “italy” (case insensitive). Also the composite word madeinitaly and the hashtag #madeinitaly will match the query |
| madeinitaly | containing the word madeinitaly (case insensitive). Also the hashtag #madeinitaly will match the query |
| #madeinitaly | containing hashtag #madeinitaly |
| alessandrozonin | that mention user alessandrozonin |
| from:alessandrozonin | sent by user alessandrozonin |
By default, specifying any other value, the last 100 tweets are extracted; clicking on From and To fields is possible to search 1 week in the past with a maximum of 5.000 tweets for each query.
Actually two types of account are available: free and associate. Free accounts could search up to 100 tweets in the past, associate accounts unlock the search up to 5.000 tweets and one week in the past. You could associate following this link.
Clicking on the 5 icons in the middle of the screen you could visualize respectively:
Distribution of tweets in the selected time-frame and the top hashtags used
The detail of tweets
Each row in the table represent a tweet. The table of tweets is downloadable in XLS format clicking on the upper right arrow icon 
.
The most influential and most active users
Influencer marketing, is a form of marketing that has emerged from a variety of recent practices and studies, in which focus is placed on specific key individuals (or types of individual) rather than the target market as a whole. It identifies the individuals that have influence over potential buyers, and orients marketing activities around these influencers. One of the metrics that could help to identify influential people in Twitter conversations is to measure the number of retweets and mentions received. Also the overall activity of a specific user (the number of tweets sent), is an important metric but it have to be carefully evaluated; in fact in the example above the most active use is a bot.
The network of users interactions
Each user is represented with a circle (a node) and is connected to another user when there are interactions between them (RT or mentions). The nodes size are proportional to the number of RT and mention received, so is a good indicator of the influence of a particular person in a network of conversations; different colors represents different community where the dynamic of interactions are more frequent.
The network is downloadable in GEXF format clicking on the upper right arrow icon . GEXF is a language for describing complex network and is fully compatible with Gephi, one of the most used software for network visualization and analysis.
The network of hashtags co-presences
Each hashtag is represented with a circle (a node) and is connected to another hashtag when there is a copresence in the same tweet; different colors represent different cluster of arguments that frequently goes together.
The network is downloadable in GEXF format clicking on the upper right arrow icon .
Useful links
SocioViz : collecter, cartographier et analyser gratuitement des conversations Twitter
Gephi: the open graph Viz platform
Online courses
Introduction to Social Network Analysis – an online self paced course
Mastering Gephi for Network Analysis – an online self paced course
Important Update
SocioViz is completely new. See this blog post for more details.
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