The graph represents a network of 4,897 Twitter users whose recent tweets contained "sciam", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 20:24 UTC.
The tweets in the network were tweeted over the 4319-day, 1-hour, 14-minute period from Saturday, 21 May 2011 at 22:45 UTC to Saturday, 18 March 2023 at 23:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4897
Unique Edges : 4119
Edges With Duplicates : 10987
Total Edges : 15106
Number of Edge Types : 9
Replies to : 1581
MentionsInReplyTo : 4339
MentionsInQuoteReply : 158
Quote : 494
Retweet : 2424
MentionsInRetweet : 4159
Mentions : 1438
Tweet : 185
MentionsInQuote : 328
Self-Loops : 471
Reciprocated Vertex Pair Ratio : 0.0314129467124507
Reciprocated Edge Ratio : 0.0609124537607892
Connected Components : 45
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 4763
Maximum Edges in a Connected Component : 14833
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.924727
Graph Density : 0.000338258984759243
Modularity : 0.407043
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,897 Twitter users whose recent tweets contained "sciam", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 20:24 UTC.
The tweets in the network were tweeted over the 4319-day, 1-hour, 14-minute period from Saturday, 21 May 2011 at 22:45 UTC to Saturday, 18 March 2023 at 23:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : sciam
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:
[193] daylight,saving [193] saving,time [172] bad,health [171] time,bad [158] pretty,clear [157] clear,daylight [156] different,types [156] studies,pretty [156] many,different [156] evidence,many Top Word Pairs in Tweet in G1:
[153] surprised,see [152] sciam,guess [151] guess,surprised [151] content,coming [151] disappointed,content [151] coming,sciam [150] see,exa [150] madihilly,disappointed [57] scientific,american [50] against,misinformation Top Word Pairs in Tweet in G2:
[158] saving,time [158] daylight,saving [155] bad,health [154] many,different [154] evidence,many [154] time,bad [154] types,studies [154] studies,pretty [154] clear,daylight [154] different,types Top Word Pairs in Tweet in G3:
[25] sciam,apple [25] info,carsafe [25] smarter,phone [25] safe,call [25] contact,info [25] call,earphone [25] carsafe,org [24] sciencenews,sciam [24] addiction,agent [24] apple,motorolaus Top Word Pairs in Tweet in G4:
[56] sciam,sander_vdlinden [47] day,workweek [47] four,day [46] without,hurting [46] hurting,productivity [46] productivity,sciam [46] fascinating,four [46] workweek,reduces [46] reduces,stress [46] stress,without Top Word Pairs in Tweet in G5:
[37] long,covid [36] india_alliance,indiadst [36] indiadst,eduminofindia [36] eduminofindia,natureind [36] iiserpune,india_alliance [36] sciam,sutherlandphd [34] sutherlandphd,iiserpune [24] sutherland,long [24] stephani,sutherland [24] disease,helping Top Word Pairs in Tweet in G6:
[103] yes,trying [103] trying,fight [103] proceed,promote [103] disinformation,series [103] series,proceed [103] fight,disinformation [102] brooklynmarie,yes [40] effective,talk [40] murdoch,talk [40] talk,agenda Top Word Pairs in Tweet in G7:
[76] physicist,chien [76] force,violates [76] parity,more [76] weak,nuclear [76] famous,proving [76] nuclear,force [76] shiung,wu [76] proving,weak [76] wu,famous [76] chien,shiung Top Word Pairs in Tweet in G8:
[59] elonmusk,miramurati [33] ai,regulation [32] miramurati,lead [32] calls,ai [32] incl,elonmusk [32] lead,openai [32] growing,calls [32] openai,behind [32] regulation,incl [32] behind,chatgpt Top Word Pairs in Tweet in G9:
[7] romulus7078,112michelle112 [7] realsirignano,blondejerseygrl [7] jwsagain,realsirignano [7] fight4newjersey,jwsagain [6] barbarajdurkin,romulus7078 [5] justinalpertesq,barbarajdurkin [4] 112michelle112,patriotsrmaga [3] probsolvecaucus,senatenj [3] pineapp411,wakeupnj [3] dawnmaier3,demsh8usa Top Word Pairs in Tweet in G10:
[20] report,team [20] scientist,miyata_makoto [20] japanese,scientist [20] team,led [20] sciam,report [20] miyata_makoto,ended [20] ended,creating [20] latest,sciam [20] led,japanese [19] creating,small Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: