The graph represents a network of 25 Twitter users whose recent tweets contained "NewsEngagementDay", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 28 September 2022 at 17:19 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 8-minute period from Tuesday, 20 September 2022 at 19:28 UTC to Wednesday, 28 September 2022 at 14:36 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 25
Unique Edges : 41
Edges With Duplicates : 17
Total Edges : 58
Number of Edge Types : 5
Retweet : 19
MentionsInRetweet : 20
Mentions : 12
Replies to : 2
Tweet : 5
Self-Loops : 5
Reciprocated Vertex Pair Ratio : 0.0714285714285714
Reciprocated Edge Ratio : 0.133333333333333
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 22
Maximum Edges in a Connected Component : 56
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.159509
Graph Density : 0.075
Modularity : 0.444263
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 25 Twitter users whose recent tweets contained "NewsEngagementDay", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 28 September 2022 at 17:19 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 8-minute period from Tuesday, 20 September 2022 at 19:28 UTC to Wednesday, 28 September 2022 at 14:36 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : NewsEngagementDay
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[12] share,plans [12] plans,#newsengagementday [10] happening,9th [10] 9th,annual [10] annual,#newsengagementday [10] tuesday,oct [10] oct,visit [10] visit,site [10] site,class [10] class,involved Top Word Pairs in Tweet in G1:
[12] share,plans [12] plans,#newsengagementday [10] happening,9th [10] 9th,annual [10] annual,#newsengagementday [10] tuesday,oct [10] oct,visit [10] visit,site [10] site,class [10] class,involved Top Word Pairs in Tweet in G2:
[5] join,tuesday [5] tuesday,october [5] october,4th [5] 4th,et [5] et,live [5] live,twitter [5] twitter,chat [5] chat,#newsengagementday [5] #newsengagementday,lashondaeaddy [5] lashondaeaddy,jeremyhl Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: