<?xml version="1.0"?>
<rss version="2.0">
   <channel>
      <title>Topic 5  by Juhaida Ab</title>
      <link>https://padlet.com/juhaida7117/Gephi</link>
      <description>Visualizing Network A212</description>
      <language>en-us</language>
      <pubDate>2017-10-31 01:37:15 UTC</pubDate>
      <lastBuildDate>2022-05-25 05:24:16 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
      <image>
         <url></url>
      </image>
      <item>
         <title> Topic 5 hands on activity(Soon Li &amp; Shamil) </title>
         <author>johntehsoonli</author>
         <link>https://padlet.com/juhaida7117/Gephi/wish/2198757906</link>
         <description><![CDATA[<div>The dataset that we have chosen is dataset 1. We have already go through weighted degree, modularity , betweenness centrality and geographical layout.</div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/1397166265/bbace0cab1e0fcfe2b5fc41dd2255f79/europe.rar" />
         <pubDate>2022-05-25 04:17:04 UTC</pubDate>
         <guid>https://padlet.com/juhaida7117/Gephi/wish/2198757906</guid>
      </item>
      <item>
         <title>Activity (Wai Hou &amp; Chee Ming)</title>
         <author>waihoucheng</author>
         <link>https://padlet.com/juhaida7117/Gephi/wish/2198785822</link>
         <description><![CDATA[<div>Regarding the two datasets, we choose to use dataset 1 and importing the data into gephi. In Overview panel, it produces an overview of the graph, spatialized randomly and completely unreadable. Then, we propose to use the Force Atlas 2 to disperse groups and give space around larger nodes. We also calculate Weighted Degree, Nodes’ label, finalizing the graph, Modularity and Betweenness centrality. In Geographical layout, it helps us display the nodes in a geographical way.</div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/1397177378/3ebf9e0a931ef7bfa3be6c82ba040141/hand_on_activity.gephi" />
         <pubDate>2022-05-25 04:42:08 UTC</pubDate>
         <guid>https://padlet.com/juhaida7117/Gephi/wish/2198785822</guid>
      </item>
      <item>
         <title>Topic 5 Hand On Activity (Gan Wei Cai &amp; Kong Lee Yin)</title>
         <author></author>
         <link>https://padlet.com/juhaida7117/Gephi/wish/2198789607</link>
         <description><![CDATA[<div>After we used the Gephi to visualised the nodes and edges, we had exported the graph as svg file and we download the InkSpace to open the svg file and import the given map file in the InkSpace. InkScape is a software that similar as Adobe Photoshop which we can move the layer and create the layers between two pictures</div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/1713360019/603c7a203f457c68b77b16f413d87714/graph.png" />
         <pubDate>2022-05-25 04:45:39 UTC</pubDate>
         <guid>https://padlet.com/juhaida7117/Gephi/wish/2198789607</guid>
      </item>
      <item>
         <title>Khansa &amp; Maisarah (Dataset 1)</title>
         <author>wsmaisrh</author>
         <link>https://padlet.com/juhaida7117/Gephi/wish/2198793081</link>
         <description><![CDATA[<div>This visual <strong>(Spatialization) </strong>places nodes in a gravitational order (attraction-repulsion, in fact, as magnets).By computing the weighted degree of the nodes, we can add even more information to our network. This graph is also directed, with each edge having a source and a target. As a result, the degree we must calculate must discriminate between in- and out-connections. We receive a report that shows the distribution of these metrics.</div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/1481892484/57325e0718a7b9b9d1daba934abbe601/Screenshot_2022_05_25_at_12_32_47_PM.png" />
         <pubDate>2022-05-25 04:48:46 UTC</pubDate>
         <guid>https://padlet.com/juhaida7117/Gephi/wish/2198793081</guid>
      </item>
      <item>
         <title>Topic 5 (Rushda &amp; Shafiqah)</title>
         <author>pikanur401</author>
         <link>https://padlet.com/juhaida7117/Gephi/wish/2198799072</link>
         <description><![CDATA[<div>We use dataset 2 for this hands-on. We deploy the network using Force Atlas2 algorithm for visually readable and looks very similar to many organizations networks. We apply multimode network transformation. We also calculate average weighted degree and betweenness centrality on network diameter. </div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/1397307386/e72e907c680867997413246039977492/Rushda_Shafiqah.png" />
         <pubDate>2022-05-25 04:54:34 UTC</pubDate>
         <guid>https://padlet.com/juhaida7117/Gephi/wish/2198799072</guid>
      </item>
      <item>
         <title>Topic 5 hands on activity (Prathip &amp; Nadia)</title>
         <author></author>
         <link>https://padlet.com/juhaida7117/Gephi/wish/2198800047</link>
         <description><![CDATA[<div>based on the two dataset that have provide our group choose dataset 1 and import into the Gephi. we learn about a list of actors and relationships that interactions between actors and make up the network. we also learn about actors are called vertices nodes in gephi and relationships are called tiles edges in gephi. the layout and statistics were easy to used.</div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/1713367405/3e7650871c61bf57506ab6eb9b144f38/work1__2_.zip" />
         <pubDate>2022-05-25 04:55:29 UTC</pubDate>
         <guid>https://padlet.com/juhaida7117/Gephi/wish/2198800047</guid>
      </item>
      <item>
         <title>Hands on activity (Anissa &amp; Ain)</title>
         <author>ainnajwa22699</author>
         <link>https://padlet.com/juhaida7117/Gephi/wish/2198801017</link>
         <description><![CDATA[<div>The dataset that we have chosen is dataset 1. We do analysis on weight degree, modularity, betweenness centrality and geographical layout. for geo layout, the latitude and longitude does not display. </div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/457329757/5f651256cf32501b8a42dc0943f12afa/activity_25may_ain_dan_anissa.gephi" />
         <pubDate>2022-05-25 04:56:22 UTC</pubDate>
         <guid>https://padlet.com/juhaida7117/Gephi/wish/2198801017</guid>
      </item>
      <item>
         <title>Hands On Amanina and Linda 25.05.22</title>
         <author></author>
         <link>https://padlet.com/juhaida7117/Gephi/wish/2198803116</link>
         <description><![CDATA[<div>We were using the datasets from set 2 as we think this help us in deploy better outcomes. However, when geoLayout was used, there were missing attributes to define as latitude and longitude. Therefore, we are having problems in previewing the graph. Later on, labelling upon instances only can be done in the preview tab which need us to operate more in the Gephi </div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/1713377287/f8f5fa56d3f25ae2d96b6a76f4aa683f/gephi.JPG" />
         <pubDate>2022-05-25 04:58:28 UTC</pubDate>
         <guid>https://padlet.com/juhaida7117/Gephi/wish/2198803116</guid>
      </item>
      <item>
         <title>Activity (Harvin &amp; Kalai)</title>
         <author></author>
         <link>https://padlet.com/juhaida7117/Gephi/wish/2198807522</link>
         <description><![CDATA[<div>We chose dataset 1 to use and import the data into Gephi. Then we have gone through one-mode visualization, centrality measures and geographical layout. In gephi, we spatialized randomly. We have added more information to graph and finalizing it. And using Geo layout plugin we try to display the nodes in geographical way.</div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/1713368832/235fcb24d46616856a9f4cfbeff239ec/Activity_SMDA.docx" />
         <pubDate>2022-05-25 05:02:55 UTC</pubDate>
         <guid>https://padlet.com/juhaida7117/Gephi/wish/2198807522</guid>
      </item>
      <item>
         <title>Hands on Activity (Sulhi and Akma)</title>
         <author></author>
         <link>https://padlet.com/juhaida7117/Gephi/wish/2198807801</link>
         <description><![CDATA[<div>We use dataset 1 for this activity. We export nodes1 and edges1 to Gephi. Then we do an analysis on average weight degree, betweenness centrality and others. We had fun on doing this activity because we can get new knowledge on how using Gephi. </div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/1713379231/a7db9de6f02160dd42f12020cbf0fc2b/Activity25May_gexf.gephi" />
         <pubDate>2022-05-25 05:03:12 UTC</pubDate>
         <guid>https://padlet.com/juhaida7117/Gephi/wish/2198807801</guid>
      </item>
      <item>
         <title>Topic 5 Hands On Activity ( JULINEY HASLINDA )</title>
         <author></author>
         <link>https://padlet.com/juhaida7117/Gephi/wish/2198808438</link>
         <description><![CDATA[<div>We are using dataset 1 and have go through all the step but we are facing some problem at the last step (3.4) which is for Geo Layout because there are no attribute for latitude &amp; longitude.</div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/1713370808/540050d31e3de17b56b4c2f4cba4e515/juliney_haslinda.png" />
         <pubDate>2022-05-25 05:03:52 UTC</pubDate>
         <guid>https://padlet.com/juhaida7117/Gephi/wish/2198808438</guid>
      </item>
      <item>
         <title>Topic 5 Hand On Activity (Chai Jie Sheng &amp; Ng Mun Onn)</title>
         <author>ngmunonn2014</author>
         <link>https://padlet.com/juhaida7117/Gephi/wish/2198828437</link>
         <description><![CDATA[<div>We choose dataset 1, we do analysis on weight degree, modularity, betweenness centrality. When doing the geo layout, it does not display at all in the layout panel.</div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/1397900804/c06a8905e7797da51c2b85d73abe6a18/SMDA_activity.gephi" />
         <pubDate>2022-05-25 05:24:16 UTC</pubDate>
         <guid>https://padlet.com/juhaida7117/Gephi/wish/2198828437</guid>
      </item>
   </channel>
</rss>
