The graph represents a network of 1,260 Twitter users whose recent tweets were included in a list (Tweet ID List - rcpchtweets) of 3200 tweet IDs, or who were replied to or mentioned in those tweets. 3200 out of 3200 tweets were collected. The network was obtained from Twitter on Monday, 06 July 2020 at 20:46 UTC.
The tweets in the network were tweeted over the 554-day, 1-hour, 2-minute period from Sunday, 30 December 2018 at 11:00 UTC to Monday, 06 July 2020 at 12:03 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 : 1260
Unique Edges : 2087
Edges With Duplicates : 5275
Total Edges : 7362
Self-Loops : 1656
Reciprocated Vertex Pair Ratio : 0.114151346729372
Reciprocated Edge Ratio : 0.204911742133538
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1260
Maximum Edges in a Connected Component : 7362
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.995466
Graph Density : 0.00164277519321205
Modularity : 0.19653
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1,260 Twitter users whose recent tweets were included in a list (Tweet ID List - rcpchtweets) of 3200 tweet IDs, or who were replied to or mentioned in those tweets. 3200 out of 3200 tweets were collected. The network was obtained from Twitter on Monday, 06 July 2020 at 20:46 UTC.
The tweets in the network were tweeted over the 554-day, 1-hour, 2-minute period from Sunday, 30 December 2018 at 11:00 UTC to Monday, 06 July 2020 at 12:03 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 : TwitterIDList
Graph Term : Tweet ID List - rcpchtweets
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[385] find,out [347] young,people [319] child,health [291] out,more [229] children,young [171] covid,19 [95] check,out [81] mental,health [63] rcpch,conference [58] rcpch,ac Top Word Pairs in Tweet in G1:
[355] find,out [282] child,health [269] out,more [264] young,people [174] children,young [141] covid,19 [83] check,out [65] mental,health [63] rcpch,conference [51] child,protection Top Word Pairs in Tweet in G2:
[29] young,people [21] find,out [20] children,young [17] covid,19 [16] out,more [15] rcpchtweets,rcpchpresident [14] child,health [10] rcpchtweets,rcpch_trainees [8] rare,disease [8] tessardavis,rcollem Top Word Pairs in Tweet in G3:
[34] young,people [22] children,young [12] child,health [6] looking,forward [6] rcpchtweets,rcpch_trainees [5] state,child [5] read,more [5] find,out [4] #cypdailymessage,today [4] rcpchtweets,members Top Word Pairs in Tweet in G4:
[6] covid,19 [3] jetpackjeth,sunilbhop [3] sunilbhop,doctorsanjay [3] doctorsanjay,mariekeemonts [3] mariekeemonts,greatnorthch [3] greatnorthch,northernpaeds [3] intensive,care [3] inflammatory,syndrome [2] experts,trainees [2] save,lives Top Word Pairs in Tweet in G5:
[4] child,health [2] medical,royal [2] buddy,bear [2] meeting,today [2] young,people [2] health,here [2] state,child [2] help,child [2] child,very Top Word Pairs in Tweet in G6:
[2] young,people [2] mental,health Top Word Pairs in Tweet in G7:
[2] young,people [2] children's,health Top Word Pairs in Tweet in G8:
[5] child,health [5] screen,time [4] rcpchtweets,members [3] looking,forward [2] calling,rcpchtweets [2] #paediatrics2040,work [2] health,children [2] rcpchtweets,#stateofchildhealth [2] available,rcpchtweets [2] health,improvement Top Word Pairs in Tweet in G9:
[2] rcpchtweets,bacd_tweets Top Word Pairs in Tweet in G10:
[2] summer,school 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 G4:
Top Replied-To in G5:
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 Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: