The graph represents a network of 625 Twitter users whose tweets in the requested range contained "AWHONN", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 27 March 2021 at 18:32 UTC.
The requested start date was Saturday, 27 March 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 84-day, 4-hour, 7-minute period from Friday, 01 January 2021 at 12:52 UTC to Friday, 26 March 2021 at 17:00 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 : 625
Unique Edges : 949
Edges With Duplicates : 1623
Total Edges : 2572
Number of Edge Types : 5
Mentions : 1284
MentionsInRetweet : 643
Tweet : 199
Replies to : 119
Retweet : 327
Self-Loops : 207
Reciprocated Vertex Pair Ratio : 0.0494117647058823
Reciprocated Edge Ratio : 0.0941704035874439
Connected Components : 24
Single-Vertex Connected Components : 13
Maximum Vertices in a Connected Component : 587
Maximum Edges in a Connected Component : 2504
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.108354
Graph Density : 0.00343076923076923
Modularity : 0.385289
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 625 Twitter users whose tweets in the requested range contained "AWHONN", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 27 March 2021 at 18:32 UTC.
The requested start date was Saturday, 27 March 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 84-day, 4-hour, 7-minute period from Friday, 01 January 2021 at 12:52 UTC to Friday, 26 March 2021 at 17:00 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 : GraphServerTwitterSearch
Graph Term : AWHONN
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:
[64] covid,19 [53] learn,more [50] health,care [39] racial,disparity [36] awhonn,latest [34] latest,video [34] video,catalyst [34] catalyst,challenge [34] challenge,health [34] mindsets,around Top Word Pairs in Tweet in G1:
[49] learn,more [40] health,care [27] racial,disparity [27] awhonn,latest [26] latest,video [26] video,catalyst [26] catalyst,challenge [26] challenge,health [26] mindsets,around [26] around,racial Top Word Pairs in Tweet in G2:
[44] covid,19 [30] pinned,tweet [28] see,pinned [17] ananursingworld,vnaa [17] aacnursing,nln [15] seiunurses,awhonn [14] aan_nursing,nln [14] awhonn,seiunurses [13] aacnme,aan_nursing [12] unfortunately,aacnursing Top Word Pairs in Tweet in G3:
[13] early,bird [13] bird,alert [13] alert,miss [13] miss,#cochraneevidence [13] #cochraneevidence,#surfactant [13] #surfactant,#neonate [13] #neonate,#preterm [13] #preterm,vtoxfordnetwork [13] vtoxfordnetwork,ameracadpeds [12] cochraneneonate,early Top Word Pairs in Tweet in G4:
[24] healthcare,workers [20] patient,education [13] fact,sheet [12] workers,strongly [12] strongly,encourage [12] encourage,healthcare [12] workers,vaccinated [12] vaccinated,against [12] against,#covid [12] #covid,protect Top Word Pairs in Tweet in G5:
[15] rewatch,#momnibus [15] #momnibus,introduction [15] introduction,ceremony [15] ceremony,hear [15] hear,4kira4moms [15] 4kira4moms,marchofdimes [15] marchofdimes,acog [15] acog,dc_amchp [15] dc_amchp,ancientsong7 [14] bmhcaucus,rewatch Top Word Pairs in Tweet in G6:
[15] mclemoremr,awhonn [10] axncompassion,awhonn [6] awhonn,acnmmidwives [6] acnmmidwives,love [6] love,talk [6] talk,efforts [6] efforts,antiracism [6] antiracism,until [6] until,admit [6] admit,toxic Top Word Pairs in Tweet in G7:
[8] dianabianchimd,emi3731 [8] emi3731,drguptamd [8] drguptamd,mysmfm [8] mysmfm,acog [8] acog,marchofdimes [8] marchofdimes,swhr [8] swhr,nichd_nih [8] nichd_nih,northwesternu [8] northwesternu,uthealth [7] uthealth,acogaction Top Word Pairs in Tweet in G8:
[2] mysmfm,acog Top Word Pairs in Tweet in G9:
[2] yalemfm,mysmfm [2] mysmfm,awhonn [2] #womb2tomb,senior [2] senior,citizens [2] citizens,know [2] know,#fluoridation [2] #fluoridation,dangerous [2] dangerous,child [2] child,womb [2] womb,docs Top Word Pairs in Tweet in G10:
[6] critical,conversation [6] conversation,led [6] led,dr [6] dr,catherine [6] catherine,eppes [6] eppes,dr [6] dr,joseph [6] joseph,cantey [6] cantey,cheyanne [6] cheyanne,harris 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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