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
Medir el tráfico y el comportamiento de los usuarios, entender el impacto de la publicidad online, utilizar campañas de remarketing, etc. son elementos imprescindibles para sacar rentabilidad y gestionar con éxito un sitio web.
Museum Next’s Conference was held from June the 18th until June the 20th. Participants from all over Europe joined to exchange ideas on museum’s innovation and technology, and we were able to follow this activity on Twitter.
On June the 4th we started to monitor the hashtag #museumnext –in order to analyse the movement that the conference was creating on Twitter– and we published a post in our blog with the results prior to the beginning of the conference.
So, now that the conference is over, we are going to analyse, using Social Network Analysis, the underlying relationships that have taken place on the #museumnext Twitter talk.
We have collected a total of 7.359 tweets from 1.437 different users. Of all these tweets, over 85% have been published between June the 18th and June the 20th.
Every user has published an average of 5.12 tweets using the #museumnext hashtag.
In order to represent the relationship between these users we have focused on mentions and retweets (RTs) on the collected tweets. We have created a graph where every node is a user that has done or has received a mention in at least one of the collected tweets, and every arrow indicates a mention or a retweet from one user to another.
This graph is formed by 1,604 users and 6,202 unique mentions and retweets between them (over 10,000 total). You can download the high-resolution
La mejora de velocidad web o WPO (Web Performance Optimization) tiene dos beneficios fundamentales:
Mejorar los indicadores cualitativos de tráfico: disminución del rebote, aumento del promedio de páginas por visita, aumento de conversiones.
Mejorar el posicionamiento en Google (SEO)
Acerca de la mejora SEO, el estudio de Moz, que analiza la correlación entre el posicionamiento de una web y diferentes características de ésta, establece una fuerte correlación negativa entre el tiempo de carga y el posicionamiento. La correlación es de -0,1 por cada segundo adicional. Como referencia, el factor que más influye tiene una correlación de 0,39. Si tenemos en cuenta que el factor del tiempo de carga está referido a cada segundo adicional, podemos ver que éste se ha convertido en uno de los principales factores del algoritmo de Google.
En este post queremos centrarnos en el otro efecto de WPO: la mejora en la calidad de las visitas, y queremos hacerlo con un caso real.
Mejoramos la velocidad web
Trabajamos con las 15 webs del Grupo Ortodoncis, para las cuales hemos definido un proyecto de mejora de velocidad web en dos fases. En la primera hemos abordado caches de usuario y de servidor, compresión de archivos de código y desarrollo de un plugin para que cada clínica pueda vaciar manualmente su cache cuando añade nuevas páginas, sin que ello afecte al
High resolution images of the graphs contained in our Social network Analysis' study Do museums Worldwide form a true community on Twitter? And some additional material not contained in the report.
As the images are quite large, it is better to download them and open the graphs with your image viewer software. Opening them in the browser can lead to some issues due to lack of browser cache memory, particularly when opening several images in different tabs.
You can also download all the images in this ZIP file (279 MB) and open it with your Photo Editor software.
Page 7: The whole graph with country communities: Download
Page 10: Interactions within European museums rendered over Google Earth: Download
Page 11: Europe - America connections on Google Earth: Download
Page 11: Connections within America: Download
Page 24: Visualization of US museums in the whole worldwide graph: Download
Page 26: US museums isolated: Download
Page 27: The UK community: Download
Metropolitan Museum of Art: Download
Museo del Prado: Download
Museo Reina Sofia: Download
Palazzo Madama: Download
Queens Museum: Download
Smithsonian Institution: Download
Tate Galery: Download
Victoria and Albert: Download
We are going to follow on Twitter the talk around Museum Next’s Conference. We started to monitor the hashtag #museumnext on June 4.
We present the graph with the tweets published up to the conference opening. So far we have 434 tweets published by 186 users. We will be updating the graph the next few days, and we will analyze the results.
Each arrow in the graph represents mentions or retweets from one user to another. The size of each user’s name is related to its importance in the Twitter conversation.
Do you know the benefits that SNA can bring to your Social Network Strategy? Request a quote here