The graph represents a network of 34 Twitter users whose tweets in the requested range contained "datacommunitydc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 16 August 2022 at 06:00 UTC.
The requested start date was Tuesday, 16 August 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 97-day, 19-hour, 59-minute period from Sunday, 01 May 2022 at 16:59 UTC to Sunday, 07 August 2022 at 12:59 UTC.
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 : 32
Edges With Duplicates : 90
Total Edges : 122
Number of Edge Types : 5
Replies to : 2
Mentions : 92
MentionsInRetweet : 9
Retweet : 4
Tweet : 15
Self-Loops : 16
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 34
Maximum Edges in a Connected Component : 122
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.652249
Graph Density : 0.0418894830659537
Modularity : 0.249227
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 34 Twitter users whose tweets in the requested range contained "datacommunitydc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 16 August 2022 at 06:00 UTC.
The requested start date was Tuesday, 16 August 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 97-day, 19-hour, 59-minute period from Sunday, 01 May 2022 at 16:59 UTC to Sunday, 07 August 2022 at 12:59 UTC.
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 : datacommunitydc
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:
[17] data,community [15] community,dc [15] dc,newsletter [9] datacommunitydc,nodexl [8] top,hashtags [8] #va,#usa [8] #usa,#canada [8] #canada,#data [6] #dataweekdc,#dataviz [6] #datascience,#va Top Word Pairs in Tweet in G2:
[8] datacommunitydc,nodexl [8] top,hashtags [8] #va,#usa [8] #usa,#canada [8] #canada,#data [6] #dataweekdc,#dataviz [6] #datascience,#va [6] #data,#lgbtq [6] gaytascience,aldatavizguy [5] hashtags,#dataweekdc Top Word Pairs in Tweet in G3:
[17] data,community [15] community,dc [15] dc,newsletter [4] newsletter,june [4] newsletter,july [2] newsletter,august [2] august,1st [2] hello,data [2] community,dashboard [2] dashboard,using Top Word Pairs in Tweet in G4:
[3] wow,realized [3] realized,dc [3] dc,place [3] place,summer [3] summer,#datascience [3] #datascience,#statistics [3] #statistics,#ml [3] #ml,rstudio [3] rstudio,conf [2] wahalulu,wow Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5: