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This can be used to quickly identify individuals of interest in the network. This feature allows the user to search for specific nodes or a group of nodes by separating their names by commas. Located on the left side of the Netlytic Visualization screen, the Menu Bar houses a variety of different visualization options, which will be discussed in more detail below: Search, Visibility, Layout, Node Size, Colors, Auto Clusters, and Share.įigure 12b, feature navigation panel Search
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On the left is the screen Menu Bar, on the top right is the Show/Hide Menu function, and on the bottom right is the Note function.įigure 12a, Network visualization, featured areas of interest The Netlytic Visualization Screen hasthree main areas of interest. Users can also label and export an image of the network.įigure 11, Name network visualization. The HTML5 visualizer has customizable layout, node size, and cluster visibility features. By clicking on the “Visualize” button in the “Chain Network” or “Name Network” pane, the user can access the new, touch enabled, HTML5 Network Visualizer (See Figure 11). Next, regardless of whether the user chooses to focus on name or chain networks (or to analyse both), s/he can explore the dataset interactively through Netlytic’s visualization capabilities. Users can further decide how each of these ties will be ‘weighted’ – some ties can be valued or counted differently than others – in the analysis (See Figure 10). Processing options here include connecting network actors to all senders in a reference chain, or only connecting network actors to the first and/or last senders to have posted in the chain.
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To build chain networks, Netlytic provides a range of options for tie discovery, similarly accessed by clicking on the “See more processing options” field at the bottom of the “Chain Network” pane. Chain Networksįigure 10, Processing options for chain networks.Ī chain network (also known as a “who replies to whom” network) is a social network based on participants’ posting behaviour. Then, once the user has decided how best to build his/her network, s/he need only click the “ Analyze” button for Netlyic to automatically construct the network.įurther, by clicking on the number of users listed next to “ # of names found” in the Name Network pane, users can review all names found by Netlytic in the network and add or delete names as necessary. To discover ties in Name networks, a user can choose from two primary options: “connect a sender to all names found in his/her messages” and/or “connect people whose names co-occur in the same messages”.īoth of these options, along with some additional network parameters, can be adjusted by clicking on the “See more processing options” field at the bottom of the ‘Name Network’ pane (See Figure 9). Name Networksįigure 9, Name network pane, options for adjusting network parameters.Ī name network is a social network built from mining personal names in the messages. Netlytic approaches this task by building two types of social networks: (1) Name network and (2) Chain (reply-to) network.
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For example, one of the choices that is likely to influence network formation is how to discover ties between individuals. When building networks from interaction data, however, there are a lot of different parameters and threshold choices to choose from. At its most basic, network analysis involves building networks from members (‘network actors’) connected together based on some common form of interaction (‘ties’). In addition to its text analysis functions, Netlytic also provides users with network analysis capabilities.