The graph represents a network of 82 Twitter users whose recent tweets contained "#Omaha2020", 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 Friday, 09 October 2020 at 05:03 UTC.
The tweets in the network were tweeted over the 4-day, 10-hour, 3-minute period from Sunday, 04 October 2020 at 15:54 UTC to Friday, 09 October 2020 at 01:58 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 : 82
Unique Edges : 309
Edges With Duplicates : 366
Total Edges : 675
Number of Edge Types : 5
MentionsInRetweet : 388
Mentions : 146
Retweet : 86
Tweet : 45
Replies to : 10
Self-Loops : 46
Reciprocated Vertex Pair Ratio : 0.151603498542274
Reciprocated Edge Ratio : 0.263291139240506
Connected Components : 7
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 76
Maximum Edges in a Connected Component : 669
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.100311
Graph Density : 0.0594700391448359
Modularity : 0.265836
NodeXL Version : 1.0.1.441
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=237513
Data Import : The graph represents a network of 82 Twitter users whose recent tweets contained "#Omaha2020", 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 Friday, 09 October 2020 at 05:03 UTC.
The tweets in the network were tweeted over the 4-day, 10-hour, 3-minute period from Sunday, 04 October 2020 at 15:54 UTC to Friday, 09 October 2020 at 01:58 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 : #Omaha2020
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[34] social,media [23] #advertising,#marketing [23] #marketing,#journalism [23] #journalism,#tech [22] #omaha2020,thursday [20] unosmlre,nodexl [18] kfreberg,ginaluttrell [18] ralphehanson,czuegner [17] nodexl,jeremyhl [17] #omaha2020,#pr Top Word Pairs in Tweet in G1:
[15] unosmlre,nodexl [14] #advertising,#marketing [14] #marketing,#journalism [14] #journalism,#tech [13] nodexl,jeremyhl [13] #omaha2020,#pr [13] #pr,#socialmedia [13] #socialmedia,#covid [13] #covid,#free [13] #free,#advertising Top Word Pairs in Tweet in G2:
[21] social,media [15] #omaha2020,thursday [14] kfreberg,ginaluttrell [13] ralphehanson,czuegner [11] thursday,rickmurray [11] rickmurray,wtownley [11] wtownley,lozafina [11] lozafina,nebraskamegan [11] nebraskamegan,kfreberg [11] ginaluttrell,ralphehanson Top Word Pairs in Tweet in G3:
[5] unosmlre,nodexl [5] right,presenting [5] presenting,#omaha2020 [5] #omaha2020,conference [5] conference,university [5] university,nebraska [5] nebraska,omaha [5] omaha,register [5] register,thank [5] thank,jeremy Top Word Pairs in Tweet in G4:
[2] social,media Top Word Pairs in Tweet in G5:
[2] wish,more [2] more,#socialmedia [2] #socialmedia,users [2] users,understood [2] understood,privacy [2] privacy,addiction [2] addiction,impact [2] impact,social [2] social,mental [2] mental,health Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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:
Top Tweeters in G5: