The graph represents a network of 5,862 Twitter users whose tweets in the requested range contained "statedept", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 08 February 2022 at 01:47 UTC.
The requested start date was Tuesday, 08 February 2022 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 5-day, 2-hour, 35-minute period from Wednesday, 02 February 2022 at 22:25 UTC to Tuesday, 08 February 2022 at 01:00 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 : 5862
Unique Edges : 16001
Edges With Duplicates : 32522
Total Edges : 48523
Number of Edge Types : 5
Replies to : 1724
Mentions : 23289
MentionsInRetweet : 17931
Retweet : 5558
Tweet : 21
Self-Loops : 188
Reciprocated Vertex Pair Ratio : 0.00458180941280495
Reciprocated Edge Ratio : 0.00912182436487297
Connected Components : 64
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 5795
Maximum Edges in a Connected Component : 48505
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.006674
Graph Density : 0.000727504368664461
Modularity : 0.345575
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,862 Twitter users whose tweets in the requested range contained "statedept", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 08 February 2022 at 01:47 UTC.
The requested start date was Tuesday, 08 February 2022 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 5-day, 2-hour, 35-minute period from Wednesday, 02 February 2022 at 22:25 UTC to Tuesday, 08 February 2022 at 01:00 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 : statedept
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:
[633] alex,saab [471] statedept,statedeptspox [396] suffering,extreme [390] lack,food [378] whaasstsecty,cartajuanero [377] cartajuanero,statedept [375] potus,whaasstsecty [347] tigrayans,suffering [320] extreme,lack [302] secblinken,statedept Top Word Pairs in Tweet in G1:
[431] statedept,statedeptspox [161] secblinken,statedept [150] europarl_en,statedept [143] statedept,secblinken [138] #riseupug,#article3ug [128] usinnigeria,europarl_en [125] statedept,real_ipobdos [123] human,rights [118] ukinnigeria,usinnigeria [116] real_ipobdos,foreignpolicy Top Word Pairs in Tweet in G2:
[361] suffering,extreme [356] lack,food [314] tigrayans,suffering [297] extreme,lack [253] #tigray,doctors [253] doctors,starving [253] starving,begging [253] begging,food [253] food,collapsing [253] collapsing,hunger Top Word Pairs in Tweet in G3:
[632] alex,saab [378] whaasstsecty,cartajuanero [377] cartajuanero,statedept [375] potus,whaasstsecty [181] travelgov,statedept [164] need,official [161] statedept,whnsc [161] official,date [150] potus,statedept [147] statedept,cuban Top Word Pairs in Tweet in G4:
[102] brother,charles [101] getting,ridiculous [101] ridiculous,attn [101] attn,potus [101] potus,mike [101] mike,flynn [101] flynn,supports [101] supports,russia [101] russia,brother [101] charles,head Top Word Pairs in Tweet in G5:
[21] statedept,authorizes [21] authorizes,proposed [21] proposed,foreign [21] foreign,military [17] statedeptpm,statedept [16] statedept,secblinken [12] military,sale [12] sale,#fms [10] statedept,mfa_russia [9] military,sales Top Word Pairs in Tweet in G6:
[119] apjoshgoodman,juanorlandoh [116] juanorlandoh,stepping [116] stepping,down [116] down,last [116] last,month [116] month,statedept [116] statedept,considered [116] considered,longer [116] longer,necessary [116] necessary,keep Top Word Pairs in Tweet in G7:
[283] #resettleeritreanrefugees,afar [283] afar,tigray [129] canadianpm,ircc [124] stateprm,statedept [124] statedept,vonderleyen [108] eritrean,refugees [93] un_hrc,eu [91] vonderleyen,canadianpm [68] unhcrethiopiaâ,un_hrc [65] ircc,irb_canada Top Word Pairs in Tweet in G8:
[46] ø,ø [27] #iran,#proxynavalterror [26] ø,ù [25] ù,ø [19] ù,ù [19] ncrius,#iran [18] usainuae,mofaicuae [12] travelgov,ncemauae [11] huuge,jcpoa [11] jcpoa,#iran Top Word Pairs in Tweet in G9:
[19] deahq,aocenespanol [19] aocenespanol,repaoc [19] repaoc,fbi [19] fbi,stateinl [19] stateinl,statedept [19] statedept,senrubiopress [19] senrubiopress,senadogovco [19] senadogovco,washingtonpost [19] washingtonpost,nytimeses [18] dã,vila Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: