The graph represents a network of 36 Twitter users whose recent tweets contained "@GSF_talks", 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 Monday, 29 March 2021 at 10:08 UTC.
The tweets in the network were tweeted over the 3-day, 6-hour, 22-minute period from Monday, 22 March 2021 at 05:34 UTC to Thursday, 25 March 2021 at 11:56 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 : 36
Unique Edges : 69
Edges With Duplicates : 62
Total Edges : 131
Number of Edge Types : 4
Retweet : 12
MentionsInRetweet : 46
Mentions : 64
Replies to : 9
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0,0103092783505155
Reciprocated Edge Ratio : 0,0204081632653061
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 36
Maximum Edges in a Connected Component : 131
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2,393519
Graph Density : 0,0777777777777778
Modularity : 0,372939
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 36 Twitter users whose recent tweets contained "@GSF_talks", 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 Monday, 29 March 2021 at 10:08 UTC.
The tweets in the network were tweeted over the 3-day, 6-hour, 22-minute period from Monday, 22 March 2021 at 05:34 UTC to Thursday, 25 March 2021 at 11:56 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 : @GSF_talks
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:
[12] foundation_jf,conference [11] april,21 [11] 21,23 [9] conference,april [9] cross,sectoral [9] sectoral,scalable [9] gsf_talks,gschoolleaders [9] solutions,post [8] post,covid [8] solvemit,gschoolleaders Top Word Pairs in Tweet in G1:
[12] foundation_jf,conference [10] april,21 [10] 21,23 [9] conference,april [9] cross,sectoral [9] sectoral,scalable [9] gsf_talks,gschoolleaders [8] solvemit,gschoolleaders [8] gschoolleaders,gsf_talks [8] solutions,post Top Word Pairs in Tweet in G2:
[3] edindia_eif,educ_technology [3] educ_technology,nisaedu [3] nisaedu,centa_team [3] centa_team,gsf_talks [3] gsf_talks,menteachprimary [3] menteachprimary,taylorpfreeman [3] taylorpfreeman,coryhenwood [3] coryhenwood,tomtolkien [3] tomtolkien,educationmirror [3] educationmirror,teachersofindia Top Word Pairs in Tweet in G3:
[2] deborahkimathi,careful [2] careful,frame [2] frame,conversation [2] conversation,learning [2] learning,loss [2] loss,lead [2] lead,damage [2] damage,teachers [2] teachers,students [2] students,additional Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: