The graph represents a network of 104 Twitter users whose tweets in the requested range contained "lrainie", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 23 September 2021 at 02:42 UTC.
The requested start date was Thursday, 23 September 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 11-day, 10-hour, 45-minute period from Friday, 10 September 2021 at 13:32 UTC to Wednesday, 22 September 2021 at 00:18 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 : 104
Unique Edges : 151
Edges With Duplicates : 212
Total Edges : 363
Number of Edge Types : 5
Tweet : 32
Retweet : 80
MentionsInRetweet : 146
Replies to : 9
Mentions : 96
Self-Loops : 33
Reciprocated Vertex Pair Ratio : 0.0466321243523316
Reciprocated Edge Ratio : 0.0891089108910891
Connected Components : 11
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 93
Maximum Edges in a Connected Component : 351
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.454168
Graph Density : 0.018857356235997
Modularity : 0.376511
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 104 Twitter users whose tweets in the requested range contained "lrainie", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 23 September 2021 at 02:42 UTC.
The requested start date was Thursday, 23 September 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 11-day, 10-hour, 45-minute period from Friday, 10 September 2021 at 13:32 UTC to Wednesday, 22 September 2021 at 00:18 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 : lrainie
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:
[25] 23,adults [24] adults,haven [24] haven,read [24] read,book [24] book,whole [24] whole,part [24] part,past [24] past,year [24] year,whether [24] whether,print Top Word Pairs in Tweet in G1:
[22] 23,adults [22] adults,haven [22] haven,read [22] read,book [22] book,whole [22] whole,part [22] part,past [22] past,year [22] year,whether [22] whether,print Top Word Pairs in Tweet in G2:
[11] lanalana,frankpasquale [11] frankpasquale,oiioxford [11] oiioxford,evanselinger [10] money,payment [10] payment,became [10] became,social [10] social,media [10] media,lanalana [9] danbuk4,money [9] evanselinger,pnhowar Top Word Pairs in Tweet in G3:
[8] pewresearch,pewinternet [5] read,key [5] key,insights [5] insights,pewresearch [5] pewinternet,report [5] report,guest [5] guest,authored [5] authored,piece [5] piece,lrainie [4] lrainie,pewresearch Top Word Pairs in Tweet in G7:
[2] paradoxically,found [2] found,one [2] one,best [2] best,ways [2] ways,increase [2] increase,book [2] book,reading [2] reading,kids [2] kids,before [2] before,kids Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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:
Top Tweeters in G6:
Top Tweeters in G7: