The graph represents a network of 9,709 Twitter users whose recent tweets contained "mfa_Russia", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 21 August 2022 at 13:45 UTC.
The tweets in the network were tweeted over the 2-day, 15-hour, 46-minute period from Thursday, 18 August 2022 at 21:07 UTC to Sunday, 21 August 2022 at 12:53 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 : 9709
Unique Edges : 73003
Edges With Duplicates : 100830
Total Edges : 173833
Number of Edge Types : 5
Retweet : 3906
MentionsInRetweet : 19384
Mentions : 134622
Replies to : 15870
Tweet : 51
Self-Loops : 148
Reciprocated Vertex Pair Ratio : 0.00413390529409932
Reciprocated Edge Ratio : 0.00823377295060771
Connected Components : 25
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 9661
Maximum Edges in a Connected Component : 173791
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.557852
Graph Density : 0.00102567533519611
Modularity : 0.318781
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 9,709 Twitter users whose recent tweets contained "mfa_Russia", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 21 August 2022 at 13:45 UTC.
The tweets in the network were tweeted over the 2-day, 15-hour, 46-minute period from Thursday, 18 August 2022 at 21:07 UTC to Sunday, 21 August 2022 at 12:53 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 : TwitterSearch
Graph Term : mfa_Russia
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:
[3468] mfa_russia,mod_russia [2878] russianembassy,mfa_russia [2045] defencehq,bbcworld [2039] fcdogovuk,defencehq [1989] bbcworld,bbcrussian [1873] mod_russia,fcdogovuk [1655] rusembusa,mfa_russia [1629] kremlinrussia_e,mfa_russia [1601] bbcworld,skynews [1598] guardian,daily_express Top Word Pairs in Tweet in G1:
[1609] mfa_russia,mod_russia [1595] rusembusa,mfa_russia [1290] rusembusa,russianembassy [1163] mfa_russia,pmsimferopol [1162] rf_osce,armscontrol_rus [1155] rusbotwien,rf_osce [996] russiaun,mfa_russia [942] #pedoputin,#pedoputin [914] statedept,foxnews [909] usembru,usaporusski Top Word Pairs in Tweet in G2:
[2501] russianembassy,mfa_russia [1807] defencehq,bbcworld [1806] mfa_russia,mod_russia [1801] fcdogovuk,defencehq [1776] bbcworld,bbcrussian [1655] mod_russia,fcdogovuk [1437] guardian,daily_express [1416] bbcworld,skynews [1292] kremlinrussia_e,mfa_russia [1272] telegraph,guardian Top Word Pairs in Tweet in G3:
[797] saved,mfa_russia [796] one,detained [796] detained,russians [796] russians,albania [796] albania,svetlana [796] svetlana,timofeeva [796] timofeeva,interesting [796] interesting,travel [796] travel,history [796] history,border Top Word Pairs in Tweet in G4:
[527] rusembest,lv_rusembas [527] lv_rusembas,rusemb_lt [527] rusemb_lt,rusmission_eu [526] russianembfinla,rustradefin [525] embfinmoscow,rusembest [524] ulkoministerio,finland_osce [524] finland_osce,russianembfinla [524] rustradefin,genconfinspb [524] genconfinspb,embfinmoscow [514] mfa_russia,ulkoministerio Top Word Pairs in Tweet in G5:
[544] secblinken,mfa_russia [440] bandits,destroying [413] germanyun,secblinken [224] law,enforcement [224] german,police [222] viena,convention [220] #tplf,bandits [220] destroying,#eritrea'n [220] #eritrea'n,community [220] community,#germany Top Word Pairs in Tweet in G6:
[118] permanent,representative [113] mikhail,ulyanov [113] organizations,vienna [112] international,organizations [110] representative,international [105] russia's,permanent [104] ulyanov,russia's [103] mfa_austria,russian [103] russian,nazi [103] sent,back Top Word Pairs in Tweet in G7:
[9] mfa_russia,russiaun [8] exmo,sr [8] sr,ministro [7] mfa_russia,kremlinrussia_e [7] kremlinrussia_e,mod_russia [7] mod_russia,mfa_russia [7] mfa_russia,tuckercarlson [7] tuckercarlson,tulsigabbard [6] ukraine66251776,kremlinrussia_e [6] rfembassygr,mfa_russia Top Word Pairs in Tweet in G8:
[10] exercitooficial,assembleiasp [10] embaixadaeua,brasiliauae [10] brasiliauae,indiainbrazil [10] indiainbrazil,presidencyza [10] presidencyza,embausbrasil [10] embausbrasil,israelinbrazil [10] israelinbrazil,japan [10] japan,iraninbrazil [10] iraninbrazil,turkialdakhil [10] turkialdakhil,worldbank Top Word Pairs in Tweet in G9:
[22] kremlinrussia_e,mfa_russia [11] mfa_russia,kremlinrussia [10] mfa_russia,governmentrf [9] kremlinrussia_e,governmentrf [8] hey,#ruzzkies [7] russianembassy,russianembfinla [7] russianembfinla,mfa_russia [7] kremlinrussia,kremlinrussia_e [7] governmentrf,kremlinrussia_e [7] mother,fucken Top Word Pairs in Tweet in G10:
[84] crimean,tourism [84] tourism,booming [84] sevastopol,property [84] property,value [84] value,exploding [83] weeks,26 [83] 26,victories [83] victories,economy [83] economy,airliners [83] airliners,flying 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:
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: