The graph represents a network of 43 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 Wednesday, 21 April 2021 at 17:11 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 25-minute period from Tuesday, 13 April 2021 at 15:14 UTC to Wednesday, 21 April 2021 at 15:39 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 : 43
Unique Edges : 121
Edges With Duplicates : 265
Total Edges : 386
Number of Edge Types : 4
Mentions : 124
MentionsInRetweet : 231
Retweet : 29
Tweet : 2
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0.157894736842105
Reciprocated Edge Ratio : 0.272727272727273
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 43
Maximum Edges in a Connected Component : 386
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.838832
Graph Density : 0.109634551495017
Modularity : 0.206638
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 43 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 Wednesday, 21 April 2021 at 17:11 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 25-minute period from Tuesday, 13 April 2021 at 15:14 UTC to Wednesday, 21 April 2021 at 15:39 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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[28] #smc2021,#smle2022 [27] nodexl,jeremyhl [26] jeremyhl,docassar [19] docassar,mpweirdopodcast [17] #prprofs,#smc2021 [17] #socialmedia,#data [16] mpweirdopodcast,thartman2u [16] #smle2022,#prprofs [16] #prprofs,#smmm2020 [16] #smmm2020,#socialmedia Top Word Pairs in Tweet in G1:
[20] jeremyhl,docassar [18] #smc2021,#smle2022 [17] nodexl,jeremyhl [15] docassar,mpweirdopodcast [13] #socialmedia,#data [13] #prprofs,#smc2021 [12] mpweirdopodcast,thartman2u [12] #smle2022,#prprofs [12] #prprofs,#smmm2020 [12] #smmm2020,#socialmedia Top Word Pairs in Tweet in G2:
[14] #smle2022,#smc2021 [9] #smprofs,#prprofs [7] social,media [6] #smc2021,#smmm2020 [6] #smmm2020,#smprofs [6] #smc2021,#smprofs [5] ap,#smle2022 [3] #smc2021,#smle2022 [2] engaging,discussion [2] discussion,trust Top Word Pairs in Tweet in G3:
[8] nodexl,jeremyhl [7] #smc2021,#smle2022 [5] #socialmedia,#smmm2020 [5] #smprofs,#smc2021 [4] jeremyhl,docassar [4] #prprofs,nodexl [4] jeremyhl,aejmc_prd [4] aejmc_prd,instituteforpr [4] instituteforpr,vivianfrancos [4] vivianfrancos,dominickalbano3 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: