The graph represents a network of 90 Twitter users whose recent tweets contained "@HealthDouglasCo", 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 Thursday, 10 November 2022 at 20:22 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 41-minute period from Wednesday, 02 November 2022 at 18:59 UTC to Thursday, 10 November 2022 at 19:40 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : 90
Unique Edges : 225
Edges With Duplicates : 119
Total Edges : 344
Number of Edge Types : 4
Mentions : 164
MentionsInRetweet : 149
Retweet : 27
Replies to : 4
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0.0276679841897233
Reciprocated Edge Ratio : 0.0538461538461538
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 90
Maximum Edges in a Connected Component : 344
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.656296
Graph Density : 0.0324594257178527
Modularity : 0.3894
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 90 Twitter users whose recent tweets contained "@HealthDouglasCo", 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 Thursday, 10 November 2022 at 20:22 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 41-minute period from Wednesday, 02 November 2022 at 18:59 UTC to Thursday, 10 November 2022 at 19:40 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : @HealthDouglasCo
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:
[19] covid,19 [18] newschannelne,telemundone [18] telemundone,lobo977fm [17] healthdouglasco,creighton_id [17] control,recommended [17] healthcare,setting [17] setting,encounter [17] health,idnebraska [17] counties,nebraska [17] care,home Top Word Pairs in Tweet in G1:
[2] ucohealth,moco_health [2] 1855ctuir,ucohealth Top Word Pairs in Tweet in G2:
[9] newschannelne,telemundone [9] telemundone,lobo977fm [8] nedhhs,omaha_scanner [7] noiseomaha,newschannelne [5] dcsheriffne,ketv [5] douglascountyne,unmc [5] omaha_scanner,omahafire [5] omaha_scanner,noiseomaha [5] unmc,nedhhs [5] omahafire,owhnews Top Word Pairs in Tweet in G3:
[17] covid,19 [16] healthdouglasco,creighton_id [16] control,recommended [16] healthcare,setting [16] setting,encounter [16] health,idnebraska [16] counties,nebraska [16] care,home [16] idnebraska,healthdouglasco [16] home,health Top Word Pairs in Tweet in G4:
[3] repcindyaxne,millermeeks [2] healthdouglasco,iowahhs [2] safe,effective [2] noiseomaha,newschannelne [2] meaningofcare,unmccoph [2] iowahhs,repcindyaxne Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7: