The graph represents a network of 7,799 Twitter users whose tweets in the requested range contained "#NIH OR @NIH", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 16 October 2022 at 23:06 UTC.
The requested start date was Sunday, 16 October 2022 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 9-day, 2-hour, 22-minute period from Wednesday, 05 October 2022 at 14:54 UTC to Friday, 14 October 2022 at 17:16 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 : 7799
Unique Edges : 13359
Edges With Duplicates : 16282
Total Edges : 29641
Number of Edge Types : 5
Mentions : 11884
Replies to : 1798
Retweet : 4491
MentionsInRetweet : 11146
Tweet : 322
Self-Loops : 392
Reciprocated Vertex Pair Ratio : 0.0230409796444492
Reciprocated Edge Ratio : 0.0450440991180176
Connected Components : 147
Single-Vertex Connected Components : 82
Maximum Vertices in a Connected Component : 7483
Maximum Edges in a Connected Component : 29116
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.140761
Graph Density : 0.000313203950460764
Modularity : 0.476185
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 7,799 Twitter users whose tweets in the requested range contained "#NIH OR @NIH", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 16 October 2022 at 23:06 UTC.
The requested start date was Sunday, 16 October 2022 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 9-day, 2-hour, 22-minute period from Wednesday, 05 October 2022 at 14:54 UTC to Friday, 14 October 2022 at 17:16 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 : #NIH OR @NIH
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:
[327] covid,19 [243] rest,world [243] phone,services [243] internet,phone [243] left,families [243] tigray,disconnected [243] families,tigray [243] disconnected,rest [243] outage,left [243] services,outage Top Word Pairs in Tweet in G1:
[79] innovator,award [77] maxdelvallee,nih [65] cycles,menstruels [62] chez,jeunes [62] confirme,officiellement [62] officiellement,lien [62] vaccination,perturbation [62] lien,vaccination [62] menstruels,chez [62] perturbation,cycles Top Word Pairs in Tweet in G2:
[110] cdcgov,nih [102] nih,cdcgov [69] nih,us_fda [52] us_fda,nih [46] cdcgov,cdcdirector [44] nih,niaidnews [37] well,respected [36] repsenators,demsenators [36] dojcrimdiv,justiceoig [36] demsenators,dojph Top Word Pairs in Tweet in G3:
[243] tigray,disconnected [243] disconnected,rest [243] outage,left [243] left,families [243] phone,services [243] services,outage [243] families,tigray [243] rest,world [243] internet,phone [236] world,making Top Word Pairs in Tweet in G4:
[26] long,covid [25] nih,#nih [24] health,literacy [24] #nih,proud [21] covid,research [20] lawrence,tabak [20] neglected,include [20] cfs,control [20] control,arm [20] ve,neglected Top Word Pairs in Tweet in G5:
[218] rapid,tests [217] covid,19 [216] known,covid [216] current,rapid [216] 19,variants [216] ba,terrific [216] please,note [216] yes,current [216] note,yes [216] variants,including Top Word Pairs in Tweet in G6:
[128] nih,ecohealthnyc [122] alexberenson,nih [42] nih,nsf [29] funding,ecohealthnyc [26] halt,federal [26] federal,funding [25] letters,nih [25] group,republicans [25] nsf,requesting [25] sent,letters Top Word Pairs in Tweet in G7:
[69] uw's,monkey [68] useless,experiments [67] done,#uwmadison [67] tax,money [67] experiments,done [67] money,#nih [67] cruel,useless [67] #uwmadison,receive [67] million,tax [67] receive,more Top Word Pairs in Tweet in G8:
[4] expedite,treatment [4] treatment,cassavasciences [4] trial,diversity [4] #simufilam,sava [4] clinical,trial [4] sava,nih [4] showing,promising [4] need,expedite [4] promising,results [4] us_fda,nih Top Word Pairs in Tweet in G9:
[17] ucirvine,nih [15] mental,health [14] researchers,uci [14] ucsf,improve [14] treatment,latinos [14] nih,awarded [14] uci,ucb [14] million,researchers [14] awarded,million [14] ucb,ucsf Top Word Pairs in Tweet in G10:
[15] rolls,137 [15] electric,train [15] kashmir's,first [15] banihal,baramulla [15] link,kashmir's [15] rail,link [15] train,rolls [15] 137,km [15] km,long [15] first,electric 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 Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: