We have been monitoring all tweets around the Museum Week since a month before the event up to the end of March. This year Museum Week has used 7 different hashtags, one for each day (from March 23rd to March 29th) plus the general one: #museumweek.
People have followed the suggested rule and most of them have changed the hashtag, as it is shown in the following Topsy chart, where you can see the first 3 days:
In last year’s Museum Week, 40,000 users were involved (people, museums and organizations), and they published around 180,000 tweets. This year, the figures have more than tripled: almost 600,000 tweets published by more than 140,000 users. There has also been a significant increase in the number of museums engaged in Museum Week.
Museum week core graph. There’s a link for downloading high resolution images at the end of the post.
A word about the graphs and their meaning
Among the people that have contacted us to ask for the high-resolution versions of the graphs or to offer some feedback, there have been some questions about what do the graphs really mean and represent. In the following Q&A section, we are going to answer them. If you have some other questions, feel free to contact us through the comments section or Twitter.
What are the dots?
The dots are Twitter users involved in Museum Week. A user has eith
We are very excited about our Social Media Analytics Workshop at Museums and the Web on April 8th (MW2015). In this post, we will focus on some of the topics we will deal with in the workshop, and how and why we will introduce some SNA (Social Network Analysis) tools, to better understand Social Networks.
Are you thinking about enrolling but have not yet made your mind up? We hope this post will help you to decide.
We started to approach Social Network Analysis with a new methodology on 2012, as we were not satisfied with the current approach, based on aggregated values: number of followers, number of likes and comments per post, number of retweets, etc. Even if these variables are useful, they do not succeed in grasping the nature of social networks, the connections between users, the communities they form and the flow of information through the network. Moreover, we can use them to evaluate the result of an action, but they do not help much to understand why an action has succeeded or failed.
These were the main reasons that lead us to work on Social Network Analysis through a new approach. The dissatisfaction with the old approach was shared with some more people, as shown by the fact that several books on graph-based Social Network Analysis have been published on late 2013 and 2014. They share with us some of the concepts from the Graph Theory and Network Science
On 2014, LinkedIn officially introduced its new Sales Navigator update. This is not the first version of the product, but a huge update that we find useful to talk about. With this product, LinkedIn pretends to make the contact process with decision makers easy for salesmen, thanks to its more than 300 million high-qualified profiles on their database. This product is only available for premium users
A little bit of history
Back in August 2011, LinkedIn released a product called “LinkedIn for Salesforce” which, with time, would finally become the Sales Navigator. It allowed you to integrate your Salesforce and LinkedIn accounts, in order to have access to your Salesforce profiles and merge them with the social network, getting more information from your contacts.
What is the new LinkedIn Sales Navigator?
According to their blog’s explanation, “Sales Navigator is a data-driven product that enhances the buyer-seller relationship and makes it more efficient. Tapping into the power of our network of 313 million members, and the data that underlies it, we make it easy for sales professionals to stay updated about key accounts, focus on the right people, and build trusted relationships along the way”.
Some of the main key features are:
Lead and account recommendations
Job changes, common connections notifications
CRM integration with Salesforce and
Paper will be published by Museums and the web and will be presented in MTW2015 in Chicago, April 8-11.
In the following link you'll be able to download all the images for the event in high resolution (309 MB).
The Ask a Curator Day is an initiative that Jim Richardson started back in 2010, and Mar Dixon has continued as its main promoter since 2012. It is a journey that has been held each September on Twitter, and fosters the conversation between curators from museums, galleries and art centers all over the world with Twitter users. All the conversations and debates use the hashtag #AskACurator, which allowed us to analyze all the journey conversations. We have monitored all the tweets that contained the hashtag #askacurator and those that mentioned @AskACurator. First tweet was gathered the 11th of August, 2014, and the last one, one day after the end of the conference, the 18th of September, 2014.
The conference in numbers
We have gathered 47.546 tweets, tweeted by 12.952 different users. This is, an average of 3,67 tweets per user. Tweets are distributed over time as you can see on the following graph: 77% of the tweets were published during the Ask A Curator day (Sep 18th), and 9% the day before. We stopped the analysis the day after the event, in order not to alter the result of the study, as a lot of conversations (including the ones from LaMagnética) had a strong bias towards museum professionals, moving from AskACurator’s main objective: the conversations that emerged from museums and museum professionals with the general public.
The objective of this study i