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Topogram: a Web Toolkit for Spatio-Temporal Network Mapping Clément Renaud I3 - Telecom ParisTech [email protected] Grégory Bahde Université Jean Monnet St Etienne ENSSIB [email protected] Topogram is a web-based and open-source toolkit to extract and visualize social, semantic and spatio-temporal dynamics within large sets of data. The methodological concept of "topogram" offers to describe activities in data by different dimensions: words (lexical analysis), relationships (networks), time (changes and evolution) and space (geographic mapping). By providing a framework to extract and visualize socio-semantic and spatio-temporal information, Topogram wants to create a broader space for representation of complex phenomena. Created for the study of Internet memes spread in the context of a Chinese social network (Renaud, 2014; Renaud & al., 2016), Topogram originates in an effort to provide a data mining and visualization framework that allows researchers to minimize routine tasks and focus on the exploration of relationships between dimensions in data. Topogram interface is designed hierarchically to minimize user information overload with the specific purpose of helping users with no technical background to apprehend network and semantic analysis. The web interface also allows for real-time edition and annotation of a single document by multiple users, making easy for teams to work together on the analysis of large documents. Users can import data containing text, dates and locations by using Topogram’s generic importer (CSV files) or custom API scripts. Topogram server will process the data to extract a network of words (text analysis) and citations (defined by regular expressions). Results will be indexed to allow full-text search by terms, time and places. In Topogram, the text analysis is based on a plugin system to easily allow multiples languages to be used. Currently English, French and Chinese language are supported. Figure 1: This interface allows a user to describe a dataset he has uploaded Once information have been extracted from the data, the visualization interface allow a browsing with different views: a network of words based on lexical analysis (word cooccurrences), a representation of time distribution in the data (interactive bar graph), a geographical map of the provided locations and potentially a network graph of other entities extracted from the data (ex. citations graph in social networks). Data can be browsed through any of those different dimensions: selection of a specific timeframe or geographic zone, lookup of specific words and terms, selection of parts of the graph, etc. Each selection criteria will update other views of the data accordingly, allowing an easy exploration of the data. Figures and results can be exported easily as images (png or svg), subsets of data (csv) or web-view by sharing directly a URL to the visualisation. Figure 2: This figure is a screenshot of Topogram visualization view for data exploration, References Renaud, C. (2014). Conception d’un outil d’analyse et de visualisation des mèmes Internet. Telecom ParisTech. Renaud, C., Puel, G., & Fernandez, V. (2016) Topogrammes: les mèmes Internet ont-ils un mode de propagation spécifique ? Réseaux (195)