The graph represents a network of 34 Twitter users whose tweets in the requested range contained "#AEJMC21", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 26 October 2021 at 07:32 UTC.
The requested start date was Tuesday, 26 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 8-day, 18-hour, 23-minute period from Tuesday, 12 October 2021 at 13:38 UTC to Thursday, 21 October 2021 at 08:02 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 : 34
Unique Edges : 65
Edges With Duplicates : 181
Total Edges : 246
Number of Edge Types : 5
MentionsInRetweet : 135
Mentions : 87
Retweet : 22
Tweet : 1
Replies to : 1
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0.184466019417476
Reciprocated Edge Ratio : 0.311475409836066
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 34
Maximum Edges in a Connected Component : 246
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.384083
Graph Density : 0.10873440285205
Modularity : 0.204434
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 34 Twitter users whose tweets in the requested range contained "#AEJMC21", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 26 October 2021 at 07:32 UTC.
The requested start date was Tuesday, 26 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 8-day, 18-hour, 23-minute period from Tuesday, 12 October 2021 at 13:38 UTC to Thursday, 21 October 2021 at 08:02 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 : GraphServerTwitterSearch
Graph Term : #AEJMC21
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:
[18] nodexl,docassar [13] #aejmc21,nodexl [13] docassar,icr_iu [13] icr_iu,michaelbathurst [13] michaelbathurst,reutsmichael1 [13] reutsmichael1,thartman2u [13] thartman2u,jeremyhl [13] michaelbathurst,thartman2u [10] docassar,michaelbathurst [9] thartman2u,reutsmichael1 Top Word Pairs in Tweet in G1:
[8] nodexl,docassar [8] michaelbathurst,thartman2u [7] nodexl,jeremyhl [7] jeremyhl,docassar [6] top,hashtags [5] #aejmc21,nodexl [5] docassar,icr_iu [5] icr_iu,michaelbathurst [5] michaelbathurst,reutsmichael1 [5] reutsmichael1,thartman2u Top Word Pairs in Tweet in G2:
[10] nodexl,docassar [8] #aejmc21,nodexl [8] docassar,icr_iu [8] icr_iu,michaelbathurst [8] michaelbathurst,reutsmichael1 [8] reutsmichael1,thartman2u [8] thartman2u,jeremyhl [5] albertoemachado,mpweirdopodcast [5] mpweirdopodcast,newsengagement [5] docassar,michaelbathurst Top Word Pairs in Tweet in G3:
[2] preconf,program [2] program,creative [2] creative,outlets [2] outlets,battling [2] battling,fatigue [2] fatigue,minority [2] minority,related [2] related,trauma [2] trauma,healing [2] healing,august Top Replied-To in Entire Graph:
Top Replied-To in G2:
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: