The graph represents a network of 65 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, 30 September 2021 at 02:42 UTC.
The requested start date was Thursday, 30 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 8-day, 8-hour, 40-minute period from Friday, 17 September 2021 at 11:59 UTC to Saturday, 25 September 2021 at 20:40 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 : 65
Unique Edges : 60
Edges With Duplicates : 121
Total Edges : 181
Number of Edge Types : 5
Retweet : 53
MentionsInRetweet : 63
Tweet : 28
Replies to : 8
Mentions : 29
Self-Loops : 28
Reciprocated Vertex Pair Ratio : 0.0506329113924051
Reciprocated Edge Ratio : 0.0963855421686747
Connected Components : 12
Single-Vertex Connected Components : 10
Maximum Vertices in a Connected Component : 53
Maximum Edges in a Connected Component : 168
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.994332
Graph Density : 0.0199519230769231
Modularity : 0.298129
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 65 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, 30 September 2021 at 02:42 UTC.
The requested start date was Thursday, 30 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 8-day, 8-hour, 40-minute period from Friday, 17 September 2021 at 11:59 UTC to Saturday, 25 September 2021 at 20:40 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:
[5] lrainie,pewresearch [2] publics,surveyed [2] social,media [2] 23,adults [2] pewresearch,pewscience Top Word Pairs in Tweet in G4:
[7] lrainie,debate [7] debate,grows [7] grows,over [7] over,govt [7] govt,privacy [7] privacy,policies [7] policies,enforcement [7] enforcement,here's [7] here's,pewinternet [7] pewinternet,data Top Word Pairs in Tweet in G6:
[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 G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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: