Family Resemblance Network: Virtual - Levels 1 to 4

<p>The size of each node corresponds to the number of connections it has within the network, highlighting uses with extensive connections, such as <em>virtuality in fiction</em>, <em>virtuality of the real world</em>, <em>virtuality in storytelling</em>, and <em>virtualization</em>, as well as highly connected features like <em>real</em>, <em>digital</em>, <em>world</em>, <em>not actual</em>, <em>technology</em>, <em>possible worlds</em>, and <em>choice</em>. Through this method of visualization and prioritizing by connectivity, we show that nodes with high connectivity represent uses that are more common and features that are generally considered more probable. This frequency of use also influences the functioning of translation algorithms in machine translation tools. Conversely, nodes with fewer connections can be deduced to be less frequent in usage.We can also observe the levels of relationships within this family by isolating relations for each node. We look at <em>virtuality in fiction </em>(Level 1) and identify on the map semantic traits such as&nbsp;<em>intentio lectoris</em>, <em>variation</em>, <em>time</em>, <em>choice</em>, <em>truth</em>, as well as the contrasting relation to <em>real</em>. Next, we see that each semantic feature is shared by other <em>uses</em> such as <em>text virtualization</em>, <em>VR, virtually possible <span>&nbsp;</span></em>(Level 2). The next two figures (Levels 3 and 4) illustrate the following two levels of the relationship.&nbsp;</p> <p>The Dynamic model is available at <a href="https://embed.kumu.io/63c4468fe768675f5fc1960ffb6b87cf"><span>https://embed.kumu.io/63c4468fe768675f5fc1960ffb6b87cf</span></a><span><span>.</span></span></p>