The graph represents a network of 1,082 Twitter users whose recent tweets contained "#somedocs", 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, 07 December 2019 at 20:13 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 55-minute period from Thursday, 28 November 2019 at 18:06 UTC to Saturday, 07 December 2019 at 20:01 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 : 1082
Unique Edges : 2066
Edges With Duplicates : 1106
Total Edges : 3172
Self-Loops : 452
Reciprocated Vertex Pair Ratio : 0.0390588235294118
Reciprocated Edge Ratio : 0.0751811594202899
Connected Components : 71
Single-Vertex Connected Components : 22
Maximum Vertices in a Connected Component : 832
Maximum Edges in a Connected Component : 2830
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.3178
Graph Density : 0.00188775710858536
Modularity : 0.603171
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,082 Twitter users whose recent tweets contained "#somedocs", 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, 07 December 2019 at 20:13 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 55-minute period from Thursday, 28 November 2019 at 18:06 UTC to Saturday, 07 December 2019 at 20:01 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 : #somedocs
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[208] #medtwitter,#somedocs [202] #podcast,#somedocs [170] #somedocs,#medtwitter [132] #followfriday,#medtwitter [127] #academicchatter,#phdchat [118] academicchatter,#somedocs [111] #medtwitter,#academicchatter [111] #phdchat,academicchatter [108] follow,everyone [106] 4,follow Top Word Pairs in Tweet in G1:
[202] #podcast,#somedocs [60] #medtwitter,#somedocs [37] #lunchlearnpod,#podsincolor [36] #podsincolor,#somedocs [26] #somedocs,#medtwitter [22] somedocs,a2 [17] somedocs,a4 [15] twitter,chat [14] somedocs,a3 [13] #somedocs,somedocs Top Word Pairs in Tweet in G2:
[112] academicchatter,#somedocs [106] #followfriday,#medtwitter [106] #medtwitter,#academicchatter [106] #academicchatter,#phdchat [106] #phdchat,academicchatter [102] 4,follow [102] follow,everyone [102] everyone,5 [102] 5,retweet [102] retweet,s Top Word Pairs in Tweet in G3:
[58] #medtwitter,#somedocs [49] amazing,advice [49] advice,#medtwitter [49] #somedocs,#somepatients [38] #somedocs,#medtwitter [21] healthcare,system [21] system,3 [21] 3,9 [21] 9,trillion [21] trillion,physicians Top Word Pairs in Tweet in G4:
[52] #cardiotwitter,#somedocs [37] #medtwitter,#cardiology [37] #somedocs,#tweetatricians [37] #tweetatricians,#cvprev [35] #cvprev,#fishoil [35] #fishoil,#omega3 [35] amrn,#vascepa [35] #vascepa,#endotwitter [19] #doctors,#medtwitter [19] #cardiology,#medstudenttwitter Top Word Pairs in Tweet in G5:
[11] #irad,#somedocs [9] thank,very [9] very,much [9] much,ambrahealth [9] ambrahealth,drgmcginty [9] drgmcginty,great [9] great,honor [9] honor,hugs [9] hugs,radiologychicks [9] radiologychicks,around Top Word Pairs in Tweet in G6:
[52] #dermtwitter,#dermatology [52] #dermatology,#somedocs [52] #somedocs,#dermatologia [50] #dermatologia,#dermocosmeticscience [46] #dermocosmeticscience,#skinhealth [38] #lesjdp19,#dermtwitter [21] full,itw [21] #skinhealth,#journeesdermatologiques [21] #jdp2019,#lesjdp19 [14] experts,interviews Top Word Pairs in Tweet in G7:
[21] #medtwitter,#somedocs [19] #somedocs,somedocs [6] lapedsoc,cmadocs [5] cdc,advises [5] advises,consumers [5] consumers,eat [5] eat,retailers [5] retailers,sell [5] sell,romaine [5] romaine,lettuce Top Word Pairs in Tweet in G8:
[34] #somedocs,#medtwitter [28] found,out [28] out,someone [28] someone,love [28] love,dearly [28] dearly,denied [28] denied,10mg [28] 10mg,elavil [28] elavil,nightly [28] nightly,over Top Word Pairs in Tweet in G9:
[28] #medtwitterai,#ai [28] #ai,#somedocs [17] awesome,previous [17] previous,blood [17] blood,results [17] results,#machinelearning [17] #machinelearning,workflow [17] workflow,predict [17] predict,baseline [17] baseline,values Top Word Pairs in Tweet in G10:
[15] #somedocs,#medtwitter [9] patients,rising [9] rising,now [9] now,joined [9] joined,coalition [9] coalition,patients [9] patients,doctors [9] doctors,health [9] health,care [9] care,policy 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 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: