The graph represents a network of 73 Twitter users whose recent tweets contained "#smle2022", 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 Sunday, 03 October 2021 at 20:37 UTC.
The tweets in the network were tweeted over the 8-day, 22-hour, 54-minute period from Friday, 24 September 2021 at 15:48 UTC to Sunday, 03 October 2021 at 14:43 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 : 73
Unique Edges : 226
Edges With Duplicates : 918
Total Edges : 1144
Number of Edge Types : 5
MentionsInRetweet : 691
Mentions : 350
Retweet : 97
Replies to : 1
Tweet : 5
Self-Loops : 6
Reciprocated Vertex Pair Ratio : 0.142061281337047
Reciprocated Edge Ratio : 0.248780487804878
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 73
Maximum Edges in a Connected Component : 1144
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 2.013511
Graph Density : 0.0780060882800609
Modularity : 0.206433
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 73 Twitter users whose recent tweets contained "#smle2022", 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 Sunday, 03 October 2021 at 20:37 UTC.
The tweets in the network were tweeted over the 8-day, 22-hour, 54-minute period from Friday, 24 September 2021 at 15:48 UTC to Sunday, 03 October 2021 at 14:43 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 : #smle2022
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:
[112] #smle2022,#smc2021 [99] #smprofs,#prprofs [68] top,hashtags [63] #smc2021,#smmm2020 [56] nodexl,docassar [53] #aejmc2021,nodexl [53] #aejmc2021,#smprofs [53] #aejmc21,#smle2022 [53] #prprofs,#aejmc21 [43] thartman2u,michaelbathurst Top Word Pairs in Tweet in G1:
[44] #smle2022,#smc2021 [37] #smc2021,#smprofs [29] #smprofs,#prprofs [21] #uno1forall,#smle2022 [11] unosmlre,communo [11] communo,unomaha [11] #firstamendment,webinar [10] #prprofs,aejmc [8] #prprofs,aejmc_lawp [8] aejmc_lawp,aejmc Top Word Pairs in Tweet in G2:
[70] #smprofs,#prprofs [68] #smle2022,#smc2021 [67] top,hashtags [63] #smc2021,#smmm2020 [56] nodexl,docassar [53] #aejmc2021,nodexl [53] #aejmc2021,#smprofs [53] #prprofs,#aejmc21 [53] #aejmc21,#smle2022 [43] thartman2u,michaelbathurst 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 Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2: