The graph represents a network of 4,387 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, 29 November 2022 at 01:35 UTC.
The requested start date was Tuesday, 29 November 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 3-day, 3-hour, 37-minute period from Friday, 25 November 2022 at 21:23 UTC to Tuesday, 29 November 2022 at 01:01 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 : 4387
Unique Edges : 11736
Edges With Duplicates : 28107
Total Edges : 39843
Number of Edge Types : 5
Retweet : 6447
MentionsInRetweet : 17632
Replies to : 977
Mentions : 14763
Tweet : 24
Self-Loops : 113
Reciprocated Vertex Pair Ratio : 0.00436378062084697
Reciprocated Edge Ratio : 0.00868964155228597
Connected Components : 8
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 4374
Maximum Edges in a Connected Component : 39831
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.906684
Graph Density : 0.00105262709300195
Modularity : 0.326546
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,387 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, 29 November 2022 at 01:35 UTC.
The requested start date was Tuesday, 29 November 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 3-day, 3-hour, 37-minute period from Friday, 25 November 2022 at 21:23 UTC to Tuesday, 29 November 2022 at 01:01 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:
[842] dear,secblinken [818] gang,rape [813] treatment,dear [813] access,treatment [813] survivors,gang [811] stand,tigray [810] tigray,women's [791] secblinken,stand [767] tigray,access [767] rape,tigray Top Word Pairs in Tweet in G1:
[254] garyruskin,statedept [221] statedept,official [110] unhumanrights,hrw [107] yes,according [107] statedept,predict [107] 19,pandemic [107] covid,19 [107] predict,something [107] 2018,yes [107] pandemic,2018 Top Word Pairs in Tweet in G2:
[838] dear,secblinken [811] gang,rape [809] access,treatment [809] survivors,gang [809] treatment,dear [807] stand,tigray [806] tigray,women's [787] secblinken,stand [763] rape,tigray [763] tigray,access Top Word Pairs in Tweet in G3:
[318] alex,saab [99] movimiento,#freealexsaab [93] camilla,fabri [84] saab,#freealexsaab [82] statedept,potus [81] potus,statedept [81] #freealexsaab,potus [80] #freealexsaab,statedept [73] #freealexsaab,capítulo [72] nicolasmaduro,statedept Top Word Pairs in Tweet in G4:
[78] support,peace [70] usembassyaddis,eusr_weber [65] statedeptspox,statedept [63] statedept,secblinken [62] canadapm,statedeptspox [62] ethiopians,call [62] secblinken,usembassyaddis [60] eusr_weber,support [60] call,canadapm [52] peace,agreement Top Word Pairs in Tweet in G5:
[52] islamic,republic [50] paying,1000s [50] #fifaworldcup,games [50] iran,called [50] games,root [50] root,iran [50] 1000s,foreign [50] iran,#fifaworldcup [50] attend,iran [50] foreign,workers Top Word Pairs in Tweet in G6:
[175] spicymooseballs,herebedragons19 [173] superjollygree1,spicymooseballs [131] novaseline4you,superjollygree1 [110] herebedragons19,giantmo [102] bananasnuts1,novaseline4you [82] blindedbythel13,bananasnuts1 [73] lightersup9,blindedbythel13 [67] fbi,cia [66] usmc,usnavy [66] jamesgunn,secretservice Top Word Pairs in Tweet in G7:
[8] sufrido,sufrirá [8] calcula,mujeres [8] mujeres,sufrido [8] sufrirá,violencia [7] violencia,género [5] opsoms,calcula [5] género,vida [5] vida,statedept [4] carlosacostacjl,camaracolombia [4] laembajada,opsoms Top Word Pairs in Tweet in G8:
[10] potus,statedept [9] become,number [9] abductions,tragedy [9] gradually,become [9] number,one [9] one,nation [9] political,abductions [9] nation,world [9] uganda,gradually [9] world,political Top Word Pairs in Tweet in G9:
[32] rusembusa,mfa_russia [32] mfa_russia,statedept [31] rusembusa,statedept [30] statedept,euinrussia [30] mission_rf,iaeaorg [30] iaeaorg,rf_osce [30] rusmission_eu,mission_rf [30] rf_osce,rusembusa [27] euinrussia,rusbotschaft [26] rusbotschaft,ambrusfrance Top Word Pairs in Tweet in G10:
[8] mikehammerusa,statedept [8] kenyamissionun,mikehammerusa [8] franceonu,kenyamissionun [7] accountable,atrocities [7] committed,against [7] atrocities,committed [7] people,#irob [7] against,people [7] immediately,held [7] #tigray,immediately 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: