The graph represents a network of 67 Twitter users whose tweets in the requested range contained "#BufferChat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 20 April 2022 at 16:52 UTC.
The requested start date was Wednesday, 20 April 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 95-day, 7-hour, 28-minute period from Wednesday, 05 January 2022 at 14:30 UTC to Sunday, 10 April 2022 at 21:58 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 : 67
Unique Edges : 121
Edges With Duplicates : 33
Total Edges : 154
Number of Edge Types : 5
Mentions : 119
Replies to : 7
Retweet : 3
MentionsInRetweet : 3
Tweet : 22
Self-Loops : 22
Reciprocated Vertex Pair Ratio : 0.016260162601626
Reciprocated Edge Ratio : 0.032
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 64
Maximum Edges in a Connected Component : 150
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.511583
Graph Density : 0.0282677521483492
Modularity : 0.379712
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 67 Twitter users whose tweets in the requested range contained "#BufferChat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 20 April 2022 at 16:52 UTC.
The requested start date was Wednesday, 20 April 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 95-day, 7-hour, 28-minute period from Wednesday, 05 January 2022 at 14:30 UTC to Sunday, 10 April 2022 at 21:58 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 : #BufferChat
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:
[15] #buffer,#bufferchat [15] #bufferchat,book [15] book,grasp [15] grasp,150 [15] 150,subj [15] subj,site [15] site,modern [15] modern,civilization [15] civilization,lessening [15] lessening,clash Top Word Pairs in Tweet in G1:
[5] week,#bufferchat [4] #bufferchat,days [3] mattwoodget,quotingbadly [3] quotingbadly,dgonsocial [3] dgonsocial,madalynsklar [3] madalynsklar,georgesilverman [3] georgesilverman,debcomanwriting [3] debcomanwriting,shruti12d [3] shruti12d,beridzeses [3] beridzeses,mabinti6 Top Word Pairs in Tweet in G2:
[15] #buffer,#bufferchat [15] #bufferchat,book [15] book,grasp [15] grasp,150 [15] 150,subj [15] subj,site [15] site,modern [15] modern,civilization [15] civilization,lessening [15] lessening,clash Top Word Pairs in Tweet in G3:
[2] six,things [2] things,try [2] try,increase [2] increase,twitter [2] twitter,reach [2] reach,re [2] re,use [2] use,top [2] top,experiment Top Replied-To in Entire Graph:
Top Replied-To in G1:
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:
Top Tweeters in G4: