The graph represents a network of 18,409 Twitter users whose recent tweets contained ""long covid" OR longcovid", 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 Friday, 30 July 2021 at 14:16 UTC.
The tweets in the network were tweeted over the 22-hour, 58-minute period from Thursday, 29 July 2021 at 13:21 UTC to Friday, 30 July 2021 at 12:20 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 : 18409
Unique Edges : 26539
Edges With Duplicates : 6021
Total Edges : 32560
Number of Edge Types : 5
Replies to : 4676
Mentions : 6636
Retweet : 12301
MentionsInRetweet : 6652
Tweet : 2295
Self-Loops : 2390
Reciprocated Vertex Pair Ratio : 0.0166553876231296
Reciprocated Edge Ratio : 0.0327650604637402
Connected Components : 2109
Single-Vertex Connected Components : 753
Maximum Vertices in a Connected Component : 12769
Maximum Edges in a Connected Component : 26718
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.2444
Graph Density : 7.97968861904059E-05
Modularity : 0.740606
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 18,409 Twitter users whose recent tweets contained ""long covid" OR longcovid", 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 Friday, 30 July 2021 at 14:16 UTC.
The tweets in the network were tweeted over the 22-hour, 58-minute period from Thursday, 29 July 2021 at 13:21 UTC to Friday, 30 July 2021 at 12:20 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 : "long covid" OR longcovid
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:
[9872] long,covid [760] breakthrough,infections [752] lead,long [713] fully,vaxxed [691] covid,19 [689] breakthrough,case [678] still,covid [674] delta,breakthrough [674] covid,yesterday [673] delta,cases Top Word Pairs in Tweet in G1:
[1581] long,covid [397] #longcovid,dr2nisreenalwan [393] dr2nisreenalwan,leading [393] leading,authority [393] authority,condition [393] condition,exceptional [393] exceptional,perspective [393] perspective,sciencemagazine [393] sciencemagazine,today [393] today,reviewing Top Word Pairs in Tweet in G2:
[481] 感染されたら,発熱が消えてからのlong [481] 発熱が消えてからのlong,covid [481] covid,本当に気をつけてください [481] 本当に気をつけてください,急な社会復帰 [481] 急な社会復帰,リハビリ [481] リハビリ,全て後遺症の悪化と長期化を招きます [481] 全て後遺症の悪化と長期化を招きます,療養終了から1ヵ月は [481] 療養終了から1ヵ月は,普段の半分の速度 [481] 普段の半分の速度,4の距離しか歩けない [481] 4の距離しか歩けない,と思っておいたほうがいいです Top Word Pairs in Tweet in G3:
[1120] long,covid [637] delta,cases [636] lead,long [635] breakthrough,case [634] months,made [634] made,point [634] point,fully [634] fully,vaxxed [634] vaxxed,person [634] person,still Top Word Pairs in Tweet in G4:
[391] long,covid [117] infizierten,kinder [107] frau,dr [105] dr,merkel [93] #longcovid,#mecfs [93] die,strategie [91] aktuellem,forschungsstand [91] forschungsstand,entwickelt [91] entwickelt,teil [91] teil,patienten Top Word Pairs in Tweet in G5:
[844] long,covid [304] public,health [304] health,measures [170] kids,flu [155] risk,death [153] young,children [153] children,unvaccinated [153] risk,long [152] alberta,throwing [152] throwing,#covid19 Top Word Pairs in Tweet in G6:
[204] long,covid [178] wollte,man [178] #longcovid,spezialisieren [178] spezialisieren,kamen [145] überhaupt,gibt [143] uniklinik,freiburg [143] freiburg,wollte [143] man,minderjährige [143] minderjährige,#longcovid [143] kamen,keine Top Word Pairs in Tweet in G7:
[562] long,covid [54] covid,19 [53] covid,symptoms [42] vaccinated,people [29] study,finds [26] people,infected [25] symptoms,linger [25] infected,study [24] linger,vaccinated [23] long,term Top Word Pairs in Tweet in G8:
[270] 13,gosh [270] gosh,#longcovid [270] #longcovid,affects [270] affects,soooo [270] soooo,many [270] many,organs [270] organs,nobody [270] nobody,damnit [270] damnit,kid [270] kid,allowed Top Word Pairs in Tweet in G9:
[92] lemons,smell [92] smell,garbage [91] months,ago [91] ago,sister [91] sister,caught [91] caught,#covid19 [91] #covid19,work [91] work,before [91] before,eligible [91] eligible,vaccinated Top Word Pairs in Tweet in G10:
[73] long,covid [24] long,term [21] side,effects [19] people,capable [19] capable,immense [19] immense,imagination [19] imagination,speculating [19] speculating,long [19] covid,children [19] children,entirely 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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