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    <title>Luca Mearelli</title>
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      <title>Building a social network  analysis dashboard with python</title>
      <description>Every conversation has a structure. The network formed by the persons who interact in the conversations inside an online community can thus be analysed with the tools of the network science to understand their characteristics. Enriching online conversations with social network analysis we hope to be able to give community moderators tools that could help them to build better communities and guide the collective intelligence processes inside them. The great vision in this is to be able to contribute to building the engines that could help us to build effective platforms for participatory democracy

This is our attempt at making tools for social network analysis accessible to all those that could gain the most from them but maybe did not yet know their potential. Edgesense is built around a set of scripts that process the community data and extract the most relevant network metrics and the network structure and a dashboard that is able to present them giving a clear view of them. Through the dashboard community managers can for the first time see in a glimpse who is talking to who, which users are central to the community and those who are on the periphery. They can see which sub-communities are developing inside the larger online conversation and who is acting as a bridge between them.This is very useful to guide the conversation or to determine which users have the most authority (through measures of centrality or “pagerank")</description>
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      <content:encoded>Every conversation has a structure. The network formed by the persons who interact in the conversations inside an online community can thus be analysed with the tools of the network science to understand their characteristics. Enriching online conversations with social network analysis we hope to be able to give community moderators tools that could help them to build better communities and guide the collective intelligence processes inside them. The great vision in this is to be able to contribute to building the engines that could help us to build effective platforms for participatory democracy

This is our attempt at making tools for social network analysis accessible to all those that could gain the most from them but maybe did not yet know their potential. Edgesense is built around a set of scripts that process the community data and extract the most relevant network metrics and the network structure and a dashboard that is able to present them giving a clear view of them. Through the dashboard community managers can for the first time see in a glimpse who is talking to who, which users are central to the community and those who are on the periphery. They can see which sub-communities are developing inside the larger online conversation and who is acting as a bridge between them.This is very useful to guide the conversation or to determine which users have the most authority (through measures of centrality or “pagerank")</content:encoded>
      <pubDate>Sat, 25 Apr 2015 00:00:00 -0400</pubDate>
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