The graph represents a network of 545 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, 08 August 2020 at 19:01 UTC.
The requested start date was Saturday, 08 August 2020 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 65-day, 16-hour, 53-minute period from Monday, 01 June 2020 at 00:51 UTC to Wednesday, 05 August 2020 at 17:44 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 : 545
Unique Edges : 726
Edges With Duplicates : 1014
Total Edges : 1740
Number of Edge Types : 5
Retweet : 208
MentionsInRetweet : 430
Tweet : 105
Mentions : 895
Replies to : 102
Self-Loops : 107
Reciprocated Vertex Pair Ratio : 0.0302734375
Reciprocated Edge Ratio : 0.0587677725118483
Connected Components : 19
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 523
Maximum Edges in a Connected Component : 1716
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.186891
Graph Density : 0.00355841878035618
Modularity : 0.43384
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 545 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, 08 August 2020 at 19:01 UTC.
The requested start date was Saturday, 08 August 2020 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 65-day, 16-hour, 53-minute period from Monday, 01 June 2020 at 00:51 UTC to Wednesday, 05 August 2020 at 17:44 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:
[28] implicit,bias [27] covid,19 [22] yalemfm,mysmfm [20] learn,more [19] values,based [19] based,implicit [17] proud,partner [17] partner,awhonn [17] awhonn,initiative [17] initiative,develop Top Word Pairs in Tweet in G1:
[17] covid,19 [17] learn,more [15] coryellen,awhonn [14] awhonn,insights [14] black,maternal [14] maternal,health [12] learn,tips [11] implicit,bias [11] content,manuscript [11] manuscript,submission Top Word Pairs in Tweet in G2:
[22] yalemfm,mysmfm [14] mysmfm,awhonn [9] exchange,between [9] between,plaintiff [9] plaintiff,attorney [9] attorney,judge [9] judge,edward [9] edward,chan [9] chan,fluoridation [9] fluoridation,lawsuit Top Word Pairs in Tweet in G3:
[16] values,based [16] based,implicit [16] implicit,bias [15] proud,partner [15] partner,awhonn [15] awhonn,initiative [15] initiative,develop [15] develop,values [14] blkwomenshealth,proud [14] aacnursing,awhonn Top Word Pairs in Tweet in G4:
[13] read,immunization [10] acnmmidwives,awhonn [9] tdap,vaccination [9] vaccination,during [9] during,3rd [9] 3rd,trimester [9] trimester,lowers [9] lowers,risk [9] risk,#whoopingcough [9] #whoopingcough,babies Top Word Pairs in Tweet in G5:
[7] covid,19 [4] die,covid [3] many,nurses [3] nurses,die [3] pinned,tweet [3] #advancednursing,#oncologynursing [3] #oncologynursing,#cardiacnursing [3] #cardiacnursing,#pediatricnursing [3] #pediatricnursing,#nurses2020 [3] #nurses2020,ucf_nursing Top Word Pairs in Tweet in G6:
[3] robynbegley5,awhonn [3] awhonn,ananursingworld [2] acnmmidwives,awhonn [2] acnmmidwives,world_midwives [2] sad,vital [2] vital,information [2] information,important [2] important,share [2] share,helps [2] helps,#breastfeeding Top Word Pairs in Tweet in G7:
[4] tiffany,moore [4] shared,decision [4] decision,making [3] during,pandemic [3] thereâ,nothing [3] nothing,more [3] more,powerful [3] powerful,collaboration [3] collaboration,awhonnâ [3] awhonnâ,latest Top Word Pairs in Tweet in G8:
[4] harvardchansph,acog [4] acog,rcobsgyn [4] rcobsgyn,acnmmidwives [4] acnmmidwives,donaintl [4] donaintl,awhonn [4] awhonn,everymomcounts [4] everymomcounts,usnews [4] usnews,theihi [4] theihi,ariadnelabs [2] ariadnelabs,benharder Top Word Pairs in Tweet in G9:
[4] laughable,think [4] think,70 [4] 70,anything [4] anything,celebrate [4] celebrate,student [4] student,membership [4] membership,costs [4] costs,orgs [4] orgs,awhonn [4] awhonn,60 Top Word Pairs in Tweet in G10:
[4] nurse,scientist [4] wonderful,presentation [4] presentation,jefferson [4] jefferson,dr [4] dr,shawana [4] shawana,moore [4] moore,deltarhostti [4] deltarhostti,nurse [4] nurse,mentorship [4] mentorship,program 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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