The graph represents a network of 8 Twitter users whose tweets in the requested range contained "AEJMC_ComSHER", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 November 2022 at 09:00 UTC.
The requested start date was Tuesday, 29 November 2022 at 01:01 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 7-day, 2-hour, 1-minute period from Tuesday, 15 November 2022 at 16:59 UTC to Tuesday, 22 November 2022 at 19:00 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 : 8
Unique Edges : 8
Edges With Duplicates : 14
Total Edges : 22
Number of Edge Types : 4
Mentions : 5
MentionsInRetweet : 7
Retweet : 5
Tweet : 5
Self-Loops : 5
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 8
Maximum Edges in a Connected Component : 22
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.46875
Graph Density : 0.160714285714286
Modularity : 0.220558
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8 Twitter users whose tweets in the requested range contained "AEJMC_ComSHER", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 November 2022 at 09:00 UTC.
The requested start date was Tuesday, 29 November 2022 at 01:01 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 7-day, 2-hour, 1-minute period from Tuesday, 15 November 2022 at 16:59 UTC to Tuesday, 22 November 2022 at 19:00 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 : AEJMC_ComSHER
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:
[4] thursday,december [3] december,2022 [2] excellence,research [2] deutschmann,award [2] nominate,paul [2] aejmc_pfr,committee [2] eleanor,blum [2] resolutions,developed [2] call,papers [2] one,long Top Word Pairs in Tweet in G1:
[2] papers,#cfp [2] job,alert [2] invites,applications [2] aejmc,nominate [2] #cfp,#healthcommunication [2] call,papers [2] december,2022 [2] thursday,december Top Word Pairs in Tweet in G2:
[2] full,call [2] view,full [2] call,info [2] thursday,december 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: