The graph represents a network of 4,750 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 03 June 2020 at 09:31 UTC.
The requested start date was Wednesday, 03 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 4-hour, 32-minute period from Friday, 29 May 2020 at 19:28 UTC to Wednesday, 03 June 2020 at 00:00 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 : 4750
Unique Edges : 1917
Edges With Duplicates : 7937
Total Edges : 9854
Number of Edge Types : 5
Tweet : 1352
Retweet : 3337
MentionsInRetweet : 3808
Mentions : 1086
Replies to : 271
Self-Loops : 1467
Reciprocated Vertex Pair Ratio : 0.00799481417458946
Reciprocated Edge Ratio : 0.0158628081457663
Connected Components : 758
Single-Vertex Connected Components : 454
Maximum Vertices in a Connected Component : 2790
Maximum Edges in a Connected Component : 6040
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.384421
Graph Density : 0.000206802540146956
Modularity : 0.478155
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,750 Twitter users whose tweets in the requested range contained "#CDC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 03 June 2020 at 09:31 UTC.
The requested start date was Wednesday, 03 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 4-hour, 32-minute period from Friday, 29 May 2020 at 19:28 UTC to Wednesday, 03 June 2020 at 00:00 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 : #CDC
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 G2:
[992] #facemasks,#protection [992] #coronavirus,#cdc [992] #covid19,#corona [992] #corona,#quarantine [992] #quarantine,#lockdown [992] #protection,#coronavirus [992] #cdc,#news [992] #news,#wholesale [992] #wholesale,#sale [992] #sale,#facemask Top Word Pairs in Tweet in G3:
[55] vaccines,both [54] both,#crimesagainstchildren [52] #crimesagainstchildren,abomination [50] abomination,against [50] against,sacred [50] sacred,none [45] none,72 [45] 72,#vaccines [45] #vaccines,#cdc [45] busydrt,vaccines Top Word Pairs in Tweet in G4:
[382] cool,brief [382] brief,report [382] report,#cdc [382] #cdc,#covid19 [382] #covid19,#usa [382] #usa,four [382] four,separate [382] separate,lines [382] lines,evidence [381] evidence,suggest Top Word Pairs in Tweet in G5:
[236] lotusoak2,#cdc [236] dr,sears [236] sears,md [236] md,co [236] co,host [236] host,thedoctors [236] thedoctors,reading [236] reading,full [236] full,#cdc [236] #cdc,2004 Top Word Pairs in Tweet in G6:
[83] hurrah,realdonaldtrump [58] realdonaldtrump,#quitwho [58] #quitwho,lead [58] lead,#theworld [58] #theworld,#cdc [58] #cdc,cdcdirector [58] cdcdirector,nihdirector [58] nihdirector,secpompeo [58] #covid19,#cdc [58] wearing,#masks Top Word Pairs in Tweet in G7:
[15] day,lag [15] cdcgov,#cdc [15] #coronavirus,#covid19 [15] covid,19 [15] #ascdwebinar,#cdc [15] ascd,cdcgov [15] capitol,checkup [15] checkup,trump's [14] trump's,exit [14] exit,criticized Top Word Pairs in Tweet in G8:
[10] #contacttracing,#vaccines [7] #vaccines,#cdc [7] #cdc,gives [7] gives,false [6] false,info [6] info,#robertredfield [6] #robertredfield,kma [6] kma,america [6] america,ll [6] ll,fight Top Word Pairs in Tweet in G9:
[115] workplaces,reopening [115] reopening,during [115] during,#covid_19 [115] #covid_19,#cdc [115] #cdc,ventilation [115] ventilation,needs [115] needs,change [115] change,air [115] air,12x [115] 12x,hour Top Word Pairs in Tweet in G10:
[25] #who,#cdc [25] level,travel [25] travel,restrictions [25] endangered,many [25] barackobama,failure [25] failure,enact [25] enact,level [25] restrictions,during [25] during,#zika [25] #zika,endangered Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
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: