The graph represents a network of 27 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, 09 December 2021 at 03:42 UTC.
The requested start date was Thursday, 09 December 2021 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 4-day, 20-hour, 41-minute period from Saturday, 27 November 2021 at 19:19 UTC to Thursday, 02 December 2021 at 16:00 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 : 27
Unique Edges : 31
Edges With Duplicates : 88
Total Edges : 119
Number of Edge Types : 5
Retweet : 16
MentionsInRetweet : 33
Mentions : 56
Tweet : 10
Replies to : 4
Self-Loops : 10
Reciprocated Vertex Pair Ratio : 0.0227272727272727
Reciprocated Edge Ratio : 0.0444444444444444
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 26
Maximum Edges in a Connected Component : 118
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.3161
Graph Density : 0.0641025641025641
Modularity : 0.212061
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 27 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, 09 December 2021 at 03:42 UTC.
The requested start date was Thursday, 09 December 2021 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 4-day, 20-hour, 41-minute period from Saturday, 27 November 2021 at 19:19 UTC to Thursday, 02 December 2021 at 16:00 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 : 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:
[26] imagineinternet,report [25] digital,spaces [14] pewinternet,imagineinternet [12] pewresearch,imagineinternet [11] future,digital [11] public,digital [10] report,reasons [10] experts,think [10] think,public [9] lrainie,pewresearch Top Word Pairs in Tweet in G1:
[10] digital,spaces [9] pewresearch,imagineinternet [9] public,digital [8] lrainie,pewresearch [8] imagineinternet,report [8] report,reasons [8] experts,think [8] think,public [5] reasons,experts [5] spaces,impr Top Word Pairs in Tweet in G2:
[18] imagineinternet,report [15] digital,spaces [14] pewinternet,imagineinternet [11] future,digital [4] see,experts [4] spaces,role [4] thanks,much [4] report,future [4] spaces,democracy [3] spaces,improved Top Word Pairs in Tweet in G5:
[2] tech,fixed [2] fixed,governments [2] governments,corporations [2] corporations,reorient [2] reorient,incentives [2] incentives,people [2] people,band [2] band,together [2] together,reform [2] reform,read Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6: