The graph represents a network of 4,747 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, 04 January 2022 at 01:49 UTC.
The requested start date was Tuesday, 04 January 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 4-day, 1-hour, 9-minute period from Thursday, 30 December 2021 at 21:43 UTC to Monday, 03 January 2022 at 22:53 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 : 4747
Unique Edges : 13165
Edges With Duplicates : 31295
Total Edges : 44460
Number of Edge Types : 5
Retweet : 5918
MentionsInRetweet : 16973
Replies to : 1025
Mentions : 20503
Tweet : 41
Self-Loops : 157
Reciprocated Vertex Pair Ratio : 0.00328512113884199
Reciprocated Edge Ratio : 0.0065487289099095
Connected Components : 19
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 4720
Maximum Edges in a Connected Component : 44424
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.118867
Graph Density : 0.000976019542939312
Modularity : 0.296995
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,747 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, 04 January 2022 at 01:49 UTC.
The requested start date was Tuesday, 04 January 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 4-day, 1-hour, 9-minute period from Thursday, 30 December 2021 at 21:43 UTC to Monday, 03 January 2022 at 22:53 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:
[598] #allowaccesstotigray,#endtigraysiege [565] #endtigraysiege,save [517] save,millions [516] statedept,secblinken [505] millions,need [455] people,isolated [451] isolated,disconnected [406] tigray,people [371] secblinken,statedept [335] time,#reconnecttigray Top Word Pairs in Tweet in G1:
[589] #allowaccesstotigray,#endtigraysiege [553] #endtigraysiege,save [508] save,millions [496] millions,need [451] people,isolated [445] isolated,disconnected [400] tigray,people [327] time,#reconnecttigray [313] statedept,secblinken [265] secblinken,statedept Top Word Pairs in Tweet in G2:
[229] alex,saab [98] statedept,potus [83] united,states [82] eleventhcircuit,joebiden [65] joebiden,potus [62] statedept,secblinken [60] human,trafficking [55] diplomático,venezolano [47] covid,19 [46] sex,trafficking Top Word Pairs in Tweet in G3:
[88] statedept,secblinken [70] #uk,#eu [68] ukinnigeria,usinnigeria [58] chinasanworu,ipob [56] #isaiasafewerki,#abiyahmed [49] ukinnigeria,secblinken [49] secblinken,real_ipobdos [44] statedept,eu_commission [42] narrativa,inversa [42] inversa,psicópatas Top Word Pairs in Tweet in G4:
[113] hrw,amnesty [89] amnesty,un_hrc [75] such,ucdavis [64] emmanuelmacron,francediplo_en [64] francediplo_en,eu_eeas [64] eu_eeas,statedept [63] devastating,airstrikes [63] airstrikes,#tigray [63] #tigray,emmanuelmacron [61] statedept,senateforeign Top Word Pairs in Tweet in G5:
[47] potus,secblinken [43] statedept,hrw [42] ajenglish,statedept [42] hrw,potus [42] secblinken,eu_eeas [41] #unityforethiopia,read [41] regime,change [39] read,co [34] eu_eeas,nato [31] nato,senateforeign Top Word Pairs in Tweet in G6:
[11] iran_gov,uaeembassybxl [11] uaeembassybxl,irimfa_en [11] irimfa_en,mfa_china [11] mfa_china,mfaturkey [11] mfaturkey,weapon [11] weapon,technical [11] technical,support [11] support,kills [11] kills,civilians [11] civilians,destroys Top Word Pairs in Tweet in G7:
[9] #resettleeritreanrefugees,afar [9] afar,tigray [6] statedept,potus [6] potus,flotus [6] eritrean,refugees [6] registration,refugees [4] tedrivers,coe_hrightsrlaw [4] coe_hrightsrlaw,hrw [4] hrw,un_hrc [4] un_hrc,monicaaparicioa Top Word Pairs in Tweet in G8:
[7] potus,vp [5] statedept,potus [4] usembassynepal,statedept [4] #priyanthakumara,morning [4] morning,southasian [4] southasian,working [4] working,group [4] group,irfroundtable [4] irfroundtable,hailed [4] hailed,repraskin Top Word Pairs in Tweet in G9:
[4] secblinken,statedept [4] statedept,tgenchovskamfa [4] tgenchovskamfa,janlipavsky [4] janlipavsky,eliimets [4] eliimets,edgarsrinkevics [4] edgarsrinkevics,glandsbergis [4] glandsbergis,rauzbigniew [4] rauzbigniew,maeromania [4] maeromania,ivankorcok [4] ivankorcok,nato Top Word Pairs in Tweet in G10:
[29] plans,provide [29] provide,#javelin [29] #javelin,missiles [29] missiles,122mm [29] 122mm,howitzers [29] howitzers,head [29] head,mod_estonia [29] mod_estonia,int'l [29] int'l,coop [29] coop,dep 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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