The graph represents a network of 15 003 Twitter users whose recent tweets contained "belarus ukraine", 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, 16 October 2022 at 20:10 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 6-minute period from Friday, 14 October 2022 at 19:15 UTC to Sunday, 16 October 2022 at 19:22 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 : 15003
Unique Edges : 19791
Edges With Duplicates : 3046
Total Edges : 22837
Number of Edge Types : 5
Retweet : 14209
MentionsInRetweet : 2326
Tweet : 2111
Replies to : 2297
Mentions : 1894
Self-Loops : 2173
Reciprocated Vertex Pair Ratio : 0,00261995273810747
Reciprocated Edge Ratio : 0,00522621304503766
Connected Components : 1227
Single-Vertex Connected Components : 794
Maximum Vertices in a Connected Component : 12873
Maximum Edges in a Connected Component : 20523
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5,081187
Graph Density : 8,67133154713767E-05
Modularity : 0,74997
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 15 003 Twitter users whose recent tweets contained "belarus ukraine", 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, 16 October 2022 at 20:10 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 6-minute period from Friday, 14 October 2022 at 19:15 UTC to Sunday, 16 October 2022 at 19:22 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 : belarus ukraine
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2930] leave,ukraine [2805] uzbekistan,turkmenistan [2802] citizens,leave [2799] tajikistan,belarus [2058] russia,belarus [1974] war,ukraine [1893] ukraine,china [1697] belarus,iran [1673] called,citizens [1649] kazakhstan,uzbekistan Top Word Pairs in Tweet in G1:
[1085] leave,ukraine [906] citizens,leave [816] uzbekistan,turkmenistan [816] tajikistan,belarus [808] ukraine,china [753] called,citizens [750] belarus,egypt [745] kazakhstan,uzbekistan [745] kyrgyzstan,tajikistan [745] china,serbia Top Word Pairs in Tweet in G2:
[1115] war,ukraine [1106] russia,belarus [1103] belarus,iran [1101] iran,war [1100] war,iii [1100] world,war [1098] iii,imagination [1098] war,real [1098] global,war [1098] ukraine,world Top Word Pairs in Tweet in G3:
[767] part,joint [748] russian,soldiers [746] troops,arrived [746] #ukraine,#belarus [744] belarusian,troops [744] border,#ukraine [742] arrived,belarus [741] deploy,international [741] proposal,deploy [741] soldiers,part Top Word Pairs in Tweet in G4:
[111] ukraine,war [67] presses,join [65] belarus,wavers [65] join,ukraine [64] putin,presses [63] wavers,putin [61] russian,troops [58] citizens,leave [51] uzbekistan,turkmenistan [51] war,ukraine Top Word Pairs in Tweet in G5:
[752] uzbekistan,turkmenistan [752] ukraine,china [752] tajikistan,belarus [741] closed,embassies [737] china,kazakhstan [735] embassies,urged [719] kyrgyzstan,uzbekistan [717] russian,federation [717] countries,closed [717] people,evacuate Top Word Pairs in Tweet in G6:
[233] russian,troops [223] 000,russian [218] part,joint [201] grouping,forces [199] belarus,part [198] stationed,belarus [198] troops,stationed [191] ukraine's,northern [191] northern,border [189] create,tension Top Word Pairs in Tweet in G7:
[145] russian,forces [123] military,equipment [121] leave,ukraine [120] citizens,leave [118] movement,military [118] invade,ukraine [118] minsk,belarus [117] renewed,ru [117] video,movement [117] display,tactical Top Word Pairs in Tweet in G8:
[511] interrupted,studies [511] war,interrupted [511] warsaw,russia [511] theological,academy [511] 21,mikhail [511] launched,war [511] studies,volunteer [511] died,defending [511] defending,ukraine [511] ukraine,student Top Word Pairs in Tweet in G9:
[124] war,ukraine [98] invade,ukraine [96] belarus,preparing [95] preparing,invade [95] border,ukraine [87] state,border [75] russia,belarus [69] russian,troops [68] border,service [66] ukraine,backdrop Top Word Pairs in Tweet in G10:
[673] citizens,leave [649] leave,ukraine [588] uzbekistan,turkmenistan [588] tajikistan,belarus [585] serbia,kazakhstan [584] belarus,egypt [584] called,citizens [584] kazakhstan,uzbekistan [584] china,serbia [584] kyrgyzstan,tajikistan 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: