The graph represents a network of 190 Twitter users whose recent tweets contained "#medlibs", 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 Thursday, 22 July 2021 at 00:29 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 19-minute period from Tuesday, 13 July 2021 at 15:45 UTC to Wednesday, 21 July 2021 at 23:05 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 : 190
Unique Edges : 215
Edges With Duplicates : 180
Total Edges : 395
Number of Edge Types : 5
Replies to : 16
Tweet : 106
Retweet : 146
MentionsInRetweet : 53
Mentions : 74
Self-Loops : 109
Reciprocated Vertex Pair Ratio : 0.0333333333333333
Reciprocated Edge Ratio : 0.0645161290322581
Connected Components : 33
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 132
Maximum Edges in a Connected Component : 323
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.858199
Graph Density : 0.00604288499025341
Modularity : 0.504193
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 190 Twitter users whose recent tweets contained "#medlibs", 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 Thursday, 22 July 2021 at 00:29 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 19-minute period from Tuesday, 13 July 2021 at 15:45 UTC to Wednesday, 21 July 2021 at 23:05 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 : #medlibs
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:
[52] #medlibs,#librarians [36] #librarians,#academictwitter [35] #academictwitter,#phdchat [34] systematic,reviews [24] #phdchat,#phdvoice [24] #phdvoice,#phdlife [24] #phdlife,#academicchatter [22] systematic,review [21] using,rayyan [21] rayyan,powerful Top Word Pairs in Tweet in G1:
[6] #medlibs,#meded [5] endnote,tip [5] #medlibs,#medresearch [5] #medresearch,#medstudenttwitter [4] tip,possible [4] possible,create [4] create,bibliographies [4] bibliographies,section [4] section,chapters [4] chapters,within Top Word Pairs in Tweet in G2:
[45] #medlibs,#librarians [34] #librarians,#academictwitter [33] #academictwitter,#phdchat [24] systematic,reviews [21] rayyan,powerful [21] #phdchat,#phdvoice [21] #phdvoice,#phdlife [21] #phdlife,#academicchatter [20] using,rayyan [20] dataset,making Top Word Pairs in Tweet in G3:
[7] articles,print [5] #medlibs,#datalibs [4] please,nlmdirector [4] nlmdirector,give [4] give,idea [4] idea,allow [4] allow,nlm_nih [4] nlm_nih,provide [4] provide,copies [4] copies,articles Top Word Pairs in Tweet in G4:
[2] scoping,review [2] systematic,review Top Word Pairs in Tweet in G5:
[9] #medlibs,#canmedlibs [6] full,articles [5] gt,binge [5] lt,maps [5] binge,eating [4] thinking,things [4] things,thrown [4] thrown,around [4] around,lot [4] lot,always Top Word Pairs in Tweet in G6:
[9] systematic,reviews [6] reviews,#medlibs [6] systematic,review [4] librarian,designed [4] designed,searches [4] searches,ran [4] ran,provided [4] provided,results [4] results,helped [4] helped,#prismaflowdiagram Top Word Pairs in Tweet in G7:
[7] learn,more [7] more,#medlibs [4] library,manager [4] manager,opportunity [4] opportunity,lead [4] lead,change [4] change,promote [4] promote,diverse [4] diverse,equitable [4] equitable,inclusive Top Word Pairs in Tweet in G8:
[3] forget,id [3] id,everyone [3] everyone,entering [3] entering,countway [3] countway,present [3] present,valid [3] valid,#harvard [3] #harvard,id [3] id,card [3] card,order Top Word Pairs in Tweet in G9:
[5] free,webinar [4] excited,free [4] webinar,tomorrow [4] tomorrow,providing [4] providing,jrnlmedlibassn [4] jrnlmedlibassn,perspective [4] perspective,there'll [4] there'll,takeaways [4] takeaways,prospective [4] prospective,authors Top Word Pairs in Tweet in G10:
[2] #medlibs,fda [2] fda,#purplebook [2] #purplebook,available [2] available,searchable [2] searchable,online [2] online,database Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: