The graph represents a network of 4,944 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 21:25 UTC.
The tweets in the network were tweeted over the 2493-day, 11-hour, 1-minute period from Friday, 22 April 2016 at 13:54 UTC to Sunday, 19 February 2023 at 00:56 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 : 4944
Unique Edges : 4781
Edges With Duplicates : 13361
Total Edges : 18142
Number of Edge Types : 9
Quote : 288
Retweet : 2532
MentionsInRetweet : 5214
Mentions : 1524
MentionsInReplyTo : 6337
Replies to : 1647
Tweet : 175
MentionsInQuoteReply : 219
MentionsInQuote : 206
Self-Loops : 513
Reciprocated Vertex Pair Ratio : 0.0288666741547793
Reciprocated Edge Ratio : 0.0561135371179039
Connected Components : 54
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 4825
Maximum Edges in a Connected Component : 17937
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.758729
Graph Density : 0.00037482314567297
Modularity : 0.360779
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,944 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 21:25 UTC.
The tweets in the network were tweeted over the 2493-day, 11-hour, 1-minute period from Friday, 22 April 2016 at 13:54 UTC to Sunday, 19 February 2023 at 00:56 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:
[667] disease,helping [502] #longcovid,looks [493] long,covid [476] sciam,today [457] feature,sciam [455] #neurological,disease [455] looks,#neurological [453] making,feature [453] today,#longcovid [453] year,making Top Word Pairs in Tweet in G1:
[325] long,covid [183] sciam,people [181] brain,fog [180] people,long [179] impossible,think [178] extreme,fatigue [178] fog,make [178] make,feel [178] covid,suffer [178] devastating,pain Top Word Pairs in Tweet in G2:
[454] disease,helping [427] #longcovid,looks [419] feature,sciam [415] looks,#neurological [415] year,making [415] sciam,today [415] today,#longcovid [415] making,feature [415] #neurological,disease [414] sutherlandphd,year Top Word Pairs in Tweet in G3:
[113] affirming,care [113] relevant,medical [113] gender,affirming [113] medical,organizations [112] agree,gender [112] care,evidence [112] organizations,agree [112] research,clear [112] clear,relevant [112] evidence,based Top Word Pairs in Tweet in G4:
[13] genbio,nejm [13] elonmusk,harvardmed [13] nejm,elonmusk [13] sciam,50cent [13] harvardmed,sciam [13] nasa,hubbletelescope [12] nytcooking,wolfiesmom [12] brownhospmed,nytcooking [12] cookingchannel,genbio [12] hubbletelescope,marthastewart Top Word Pairs in Tweet in G5:
[4] veritatem2021,data79504085 [4] auroriatwittori,rushhourp [4] climatehope2,priscian [4] ethonraptor,sgmtrailbuilder [4] bouchelljohn,mark_a_lunn [4] aristotlemrs,gstrandberg1 [4] willard1951,ethonraptor [4] martinjbern,anvndarnamn5 [4] sgmtrailbuilder,bouchelljohn [4] shroedingerbird,6lennybravo Top Word Pairs in Tweet in G6:
[8] dianamkwon,sciam [7] vol,co [7] cnn,carnegiescience [7] wypzqgn3ox,cnn [7] technology,vol [7] sylvango,mycircaa [7] co,wypzqgn3ox [7] mycircaa,science [7] carnegiescience,sciencemagazine [7] science,technology Top Word Pairs in Tweet in G7:
[42] neurological,disease [36] looks,neurological [34] man,hierzulande [34] #neurologie,oft [34] oft,anderes [34] #longcovid,looks [34] disease,hört [34] hierzulande,#neurologie [34] anderes,guter [34] hört,man Top Word Pairs in Tweet in G8:
[8] njsendems,senatenj [6] asmnedthomson,njrhassociation [6] oldglorycries,sportsjefe81 [6] andrewzwicker,asmnedthomson [6] senatenj,andrewzwicker [6] njrhassociation,nj_league [5] govmurphy,njsendems [5] nj_league,oldglorycries [4] justinalpertesq,govmurphy [3] noaa,sciam Top Word Pairs in Tweet in G9:
[12] berkeleylabpsa's,xin [12] going,berkeleylabpsa's [12] scratching,heads [12] xin,nian [12] heads,saying [12] saying,going [12] nian,wang [12] wang,lab [12] really,scratching [11] berkeleylab,really Top Word Pairs in Tweet in G10:
[37] ecowarriorss,sciam [27] fossil,fuels [26] chooses,fossil [25] climate,fight [25] india,energy [24] without,india [24] crossroads,chooses [24] energy,crossroads [24] india,india [24] fight,fail Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: