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It’s built around a blogging engine and a small message system connected to Twitter. “, Loqi picks it up and when user “xyz” returns – types something -, Loqi plays the message back. As mentioned in Chapter 4, forks can either be used to build upon an existing project for one’s own purposes, or the changes may be submitted back to the original repository as a pull request. Therefore, website (made my day) you can evaluate whether a cryptocurrency is worth it by conducting an appropriate fundamental analysis and considering all the information available about the project. Publify has been around since 2004 and is the oldest Ruby on Rails open source project alive. Publify is obviously IndieWeb-related, evidenced by its reference to IndieWeb principles. Publify follows the principles of the IndieWeb, which are self hosting your Web site, and Publish On your Own Site, Syndicate Everywhere. Publify is a simple but full featured web publishing software.
Additionally, several topics were defined by their inclusion of specific terms to describe IndieWeb building blocks, event names, and other concepts that were emerging in the first few years of IndieWeb’s history. The largest cluster of 3092 observations represents observations where a very small proportion of discussions were labelled with topics. The proportion of observations associated with the Defining IndieWeb topic decreases over time, though remains significant. The proportion of observations associated with IndieWeb building blocks increases over time. The proportion of observations associated with the Events topic increases fairly steadily, indicating that events have been an increasing priority among IndieWeb’s chat participants. Based on the results of the topic cluster analysis, a stackplot chart was generated showing the proportion of observations associated with each topic over time. The clustering algorithm first produces a dendrogram showing the hierarchy of clusters, which is shown in Figure 5.8. The dendrogram shows one cluster of 3092 that is clearly distinct from the others, and the remainder of observations are defined less dramatically. Figure 5.9 displays a radar plot showing the distribution of normalized topic shares among each cluster.