TIM Edge Info
TIM Edge puts together various datasets to track emerging technologies as they progress towards concrete market applications. Patents, scientific publications, and other datasets on the one hand, news from the media on the other hand, are used to follow the trajectory of technologies. TIM Edge also displays indicators related to the development of these technologies.
TIM Edge features different types of visualisation. Most of the views are based on network graphs that allow transversal analysis of the data. Some other more classic visualisations complement this approach to data, like word clouds, maps or histograms. From any graphics in TIM Edge, the user can restrict the set of data he wishes to analyse by simply selecting a node or an ensemble of nodes. Exploration of this restricted set of data is then possible using the different visualisations in TIM Edge or by exporting the data for subsequent analysis.
TIM edge is organised by thematics and presents for each of them a list of emerging technologies that are considered relevant by experts in technological monitoring and foresight. The list of emerging technologies in TIM Edge is by no means exhaustive and will be continuously enriched and improved.User guide (PDF) Quick start
TIM Edge puts together data from different sources. A cleaning process based on entity matching is applied on the raw data. This is necessary to clean the data by removing duplicates, getting rid of wrong entity names and attribute a unique identifier to organisations. The trade off in cleaning the data is a recall of entities from the raw data which does not reach a 100% (so far between 70% and 80%). The TIM team is working towards improving this process. If you really need to visualise the maps with raw data, please contact us.
TIM Edge is not a predictive tool but aims at shortening the gap between technological development as it is reported
in specialised databases and awareness of said developments by policy makers.
Each network graphs is composed of nodes and edges: nodes represent bundles of document having metadata in common (for example all the patents from Germany); an edge exists between two nodes when they contain one or more documents in common. Both nodes and edges vary in size with the number of data items. In addition, TIM clusters nodes into communities by calculating their modularity, which is a measure of the connectedness between the nodes. Communities of nodes are defined as groups of densely interconnected nodes that only sparsely connect with the rest of the network. These communities of different colours help the user to visually perceive the structure of the network and the interactions between nodes and communities.
These are the network graphs and visualisations that are currently available in TIM Edge :
Shows the technologies in each thematic of TIM Edge, their relative importance (in terms of number of documents) and their interactions.
Allows to visualise the patents in the dataset according to their classification in the Cooperative Patent Classification (CPC) system.
Displays the data by organisation and the collaborations between these (e.g. co-patenting and/or co-publishing and/or co-beneficiaries of the same EU grant).
Allows to navigate through the keywords chosen by authors of scientific papers to describe the topic(s) of their paper.
Allows to navigate through keywords generated by language processing algorithms applied on the dataset (technology) to characterise each document.
Displays the data according to the countries where the organisations are based, with all Member States of the EU aggregated into one node.
Displays the data according to the regions (NUTS2 and NUTS 3 codes) where organisations are based.
Sorts the data items by year of publications, year of priority date for patent or year of grant for EU projects.