The graph represents a network of 3,131 Twitter users whose recent tweets contained "Infodemic", 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 Saturday, 15 August 2020 at 20:33 UTC.
The tweets in the network were tweeted over the 8-day, 15-hour, 57-minute period from Friday, 07 August 2020 at 04:03 UTC to Saturday, 15 August 2020 at 20:00 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 : 3131
Unique Edges : 5444
Edges With Duplicates : 1216
Total Edges : 6660
Number of Edge Types : 5
Retweet : 2317
Tweet : 579
Replies to : 136
Mentions : 830
MentionsInRetweet : 2798
Self-Loops : 599
Reciprocated Vertex Pair Ratio : 0.0297123391370174
Reciprocated Edge Ratio : 0.0577099797831281
Connected Components : 488
Single-Vertex Connected Components : 271
Maximum Vertices in a Connected Component : 1681
Maximum Edges in a Connected Component : 4438
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.573919
Graph Density : 0.000555202382033524
Modularity : 0.753232
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3,131 Twitter users whose recent tweets contained "Infodemic", 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 Saturday, 15 August 2020 at 20:33 UTC.
The tweets in the network were tweeted over the 8-day, 15-hour, 57-minute period from Friday, 07 August 2020 at 04:03 UTC to Saturday, 15 August 2020 at 20:00 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 : TwitterSearch
Graph Term : Infodemic
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:
[510] social,media [403] covid,19 [346] misinformation,social [340] attempts,correct [253] pandemic,without [252] prevent,another [252] another,pandemic [252] without,stopping [252] stopping,infodemic [228] #covid19,infodemic Top Word Pairs in Tweet in G1:
[349] social,media [334] attempts,correct [334] misinformation,social [207] prevent,another [207] another,pandemic [207] pandemic,without [207] without,stopping [207] stopping,infodemic [172] debunking,works [167] yep,debunking Top Word Pairs in Tweet in G2:
[179] young,people [179] #covid19,infodemic [174] infodemic,#askwho [170] role,young [169] scbriand,role [169] people,stopping [169] stopping,#covid19 [123] let's,#shareinformation [123] #shareinformation,combat [41] combat,disinformation Top Word Pairs in Tweet in G3:
[81] covid,19 [39] social,media [37] パンデミックだけでなく,インフォデミック [36] インフォデミック,も多くの人々を死に至らしめたとの指摘 [26] public,health [24] related,infodemic [24] infodemic,impact [24] impact,public [23] health,global [22] global,social Top Word Pairs in Tweet in G4:
[152] #covid19,#infodemic [148] breaking,#disinformation [148] #disinformation,coronavirus [148] coronavirus,caused [148] caused,nearly [148] nearly,6000 [148] 6000,hospitalisations [148] hospitalisations,60 [148] 60,complete [148] complete,blindness Top Word Pairs in Tweet in G5:
[28] #gijn5,reading [25] six,months [20] covid,19 [18] declared,'infodemic' [18] august,re [18] re,delving [18] delving,detail [18] detail,biggest [18] biggest,issues [18] issues,affect Top Word Pairs in Tweet in G6:
[129] fight,infodemic [90] #staysafe,#indiawillwin [73] infodemic,#covid19 [73] #covid19,facts [73] facts,forward [73] forward,unverified [73] cross,check [73] check,authentic [73] authentic,sources [58] mohfw_india,pib_india Top Word Pairs in Tweet in G7:
[57] malicious,propaganda [57] propaganda,runs [57] runs,counter [57] counter,facts [57] facts,duty [57] duty,present [57] present,facts [57] facts,read [57] read,eoibeijing [57] eoibeijing,'s Top Word Pairs in Tweet in G8:
[23] study,astmh [23] astmh,maps [23] maps,geography [23] geography,#covid [23] #covid,false [23] false,rumors [23] rumors,conspiracy [23] conspiracy,theories [23] theories,stigma [23] stigma,usa Top Word Pairs in Tweet in G9:
[40] medical,misinformation [37] robert,kennedy [37] kennedy,jr [33] super,spreaders [28] during,pandemic [20] super,spreader [20] fascinating,piece [20] piece,always [20] always,brilliant [20] brilliant,tortoise Top Word Pairs in Tweet in G10:
[64] absolutely,horrendous [64] horrendous,never [64] never,forget [64] forget,damage [64] damage,done [64] done,infodemic [64] infodemic,especially [64] especially,people [64] people,done [64] done,visibility Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: