The graph represents a network of 9,958 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 10,000 tweets. The network was obtained from Twitter on Tuesday, 17 March 2020 at 14:22 UTC.
The tweets in the network were tweeted over the 8-day, 14-hour, 8-minute period from Sunday, 08 March 2020 at 23:53 UTC to Tuesday, 17 March 2020 at 14:02 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 : 9958
Unique Edges : 12613
Edges With Duplicates : 1598
Total Edges : 14211
Number of Edge Types : 5
Retweet : 5521
Mentions : 1600
Tweet : 1246
MentionsInRetweet : 5426
Replies to : 418
Self-Loops : 1263
Reciprocated Vertex Pair Ratio : 0.00316877918612408
Reciprocated Edge Ratio : 0.00631753948462178
Connected Components : 1190
Single-Vertex Connected Components : 730
Maximum Vertices in a Connected Component : 3830
Maximum Edges in a Connected Component : 7519
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.9298
Graph Density : 0.000121329106199034
Modularity : 0.800966
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 9,958 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 10,000 tweets. The network was obtained from Twitter on Tuesday, 17 March 2020 at 14:22 UTC.
The tweets in the network were tweeted over the 8-day, 14-hour, 8-minute period from Sunday, 08 March 2020 at 23:53 UTC to Tuesday, 17 March 2020 at 14:02 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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1382] また集団感染,韓国 [1382] 韓国,京畿道の教会で礼拝時に消毒と称して [1382] 京畿道の教会で礼拝時に消毒と称して,信者の口に霧吹きで塩水を噴霧 [1382] 信者の口に霧吹きで塩水を噴霧,消毒しないまま [1382] 消毒しないまま,次々と口に当てていた [1382] 次々と口に当てていた,この教会からは40人の新型コロナウィルス感染者が出ている [1382] この教会からは40人の新型コロナウィルス感染者が出ている,当局は [1382] 当局は,誤情報によるinfodemic [1382] 誤情報によるinfodemic,とした [1382] とした,この国はこんなこと信じるほど非常事態 Top Word Pairs in Tweet in G1:
[1381] また集団感染,韓国 [1381] 韓国,京畿道の教会で礼拝時に消毒と称して [1381] 京畿道の教会で礼拝時に消毒と称して,信者の口に霧吹きで塩水を噴霧 [1381] 信者の口に霧吹きで塩水を噴霧,消毒しないまま [1381] 消毒しないまま,次々と口に当てていた [1381] 次々と口に当てていた,この教会からは40人の新型コロナウィルス感染者が出ている [1381] この教会からは40人の新型コロナウィルス感染者が出ている,当局は [1381] 当局は,誤情報によるinfodemic [1381] 誤情報によるinfodemic,とした [1381] とした,この国はこんなこと信じるほど非常事態 Top Word Pairs in Tweet in G2:
[464] covid,19 [461] 19,pandemic [460] fighting,infodemic [456] governments,fight [456] fight,covid [456] pandemic,snopes [456] snopes,fighting [456] infodemic,rumors [456] rumors,misinformation [456] misinformation,check Top Word Pairs in Tweet in G3:
[1096] 인포데믹,infodemic [985] 이희영,경기도 [985] 경기도,코로나19 [985] 코로나19,긴급대책단 [985] 긴급대책단,공동단장은 [985] 공동단장은,이달 [985] 이달,1일과 [985] 1일과,8일 [985] 8일,예배당 [985] 예배당,입구에서 Top Word Pairs in Tweet in G4:
[97] social,media [87] covid,19 [76] coronavirus,'infodemic' [71] administration,fueling [70] trump,administration [69] fueling,coronavirus [60] avlon,trump [46] media,infodemic [46] fake,news [34] re,fighting Top Word Pairs in Tweet in G5:
[451] social,media [419] zipped,information [419] information,misinformation [419] misinformation,around [419] around,world [419] world,unprecedented [419] unprecedented,speeds [419] speeds,fueling [419] fueling,panic [419] panic,racism Top Word Pairs in Tweet in G6:
[214] short,take [214] take,#covid19 [214] #covid19,cfr_org [214] cfr_org,republished [214] republished,orfonline [214] orfonline,world [214] world,first [214] first,#infodemic [214] #infodemic,first [214] first,incubated Top Word Pairs in Tweet in G7:
[363] much,inaccurate [363] inaccurate,information [363] information,virus [363] virus,confronting [363] confronting,infodemic [362] more,sterling [362] sterling,work [362] work,big [362] big,tech [362] tech,much Top Word Pairs in Tweet in G8:
[116] #covid,19 [92] crisis,informatics [92] informatics,researcher [69] wrote,medium [69] medium,synthesizing [63] information,uncertainty [62] uncertainty,feeds [62] feeds,anxiety [61] reflecting,information [61] anxiety,#covid Top Word Pairs in Tweet in G9:
[38] #infodemic,#nwp [30] resources,working [30] working,content [30] content,pandemic [30] live,moderated [30] moderated,place [30] place,teens [30] teens,thoughts [30] thoughts,questions [30] questions,teens Top Word Pairs in Tweet in G10:
[11] lauragramm,skinsnrugby [11] skinsnrugby,jlinmiller [9] died,corona [8] usa,year [8] 4000,died [7] usa,freak [7] 70,80 [7] dennisabm,akvawe66 [7] grandma_boom,menvoters [7] penguin_syls,quidrises Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
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Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: