The graph represents a network of 605 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, 18 September 2021 at 18:06 UTC.
The requested start date was Saturday, 18 September 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 78-day, 7-hour, 50-minute period from Thursday, 01 July 2021 at 15:00 UTC to Friday, 17 September 2021 at 22:50 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 : 605
Unique Edges : 890
Edges With Duplicates : 2100
Total Edges : 2990
Number of Edge Types : 5
Mentions : 1680
Retweet : 252
MentionsInRetweet : 764
Replies to : 91
Tweet : 203
Self-Loops : 209
Reciprocated Vertex Pair Ratio : 0.0535714285714286
Reciprocated Edge Ratio : 0.101694915254237
Connected Components : 23
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 574
Maximum Edges in a Connected Component : 2921
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.284024
Graph Density : 0.00371353511028406
Modularity : 0.362662
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 605 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, 18 September 2021 at 18:06 UTC.
The requested start date was Saturday, 18 September 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 78-day, 7-hour, 50-minute period from Thursday, 01 July 2021 at 15:00 UTC to Friday, 17 September 2021 at 22:50 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:
[70] maternal,health [59] covid,19 [47] aacnursing,nln [44] learn,more [34] hr,959 [34] 959,346 [34] 346,black [34] black,maternal [34] health,#momnibus [32] dvervoort94,theg4alliance Top Word Pairs in Tweet in G1:
[57] maternal,health [44] learn,more [28] hr,959 [28] 959,346 [28] 346,black [28] black,maternal [28] health,#momnibus [24] address,ongoing [24] ongoing,maternal [24] health,crisis Top Word Pairs in Tweet in G2:
[17] acnmmidwives,npwh [14] awhonn,acnmmidwives [14] mysmfm,acog [13] acog,awhonn [11] pregnant,thinking [11] thinking,pregnancy [11] pregnancy,vaccinated [11] vaccinated,smartest [11] smartest,people [11] people,know Top Word Pairs in Tweet in G3:
[47] covid,19 [47] aacnursing,nln [23] seiunurses,awhonn [22] ananursingworld,vnaa [22] wenurses,canadanurses [21] nln,aacnme [21] nln,aan_nursing [18] aacnme,aan_nursing [18] aan_nursing,ananursingworld [16] awhonn,seiunurses Top Word Pairs in Tweet in G4:
[32] dvervoort94,theg4alliance [32] theg4alliance,surgfoundation [32] surgfoundation,unitar [32] unitar,harvardpgssc [32] harvardpgssc,keepark [32] keepark,geoffibbotson [32] geoffibbotson,koiralabhagawan [22] aiyedunlawal,dvervoort94 [12] koiralabhagawan,johnmeara [11] johnmeara,aiyedunlawal Top Word Pairs in Tweet in G5:
[11] templecph,awhonn [10] templeuniv,templecph [10] awhonn,umasslowell [10] umasslowell,uml_zchs [10] uml_zchs,umlnursing [9] hcfantasia,nwh_journal [7] associate,editor [7] drtiffmonique,templeuniv [6] katersimpson,awhonn [6] nwh_journal,drtiffmonique Top Word Pairs in Tweet in G6:
[4] maternal,health [3] fight,ensure [3] ensure,person [3] person,access [3] access,care [3] care,need [3] need,treated [3] treated,respect [3] respect,dignity [2] awhonn,blkmamasmatter Top Word Pairs in Tweet in G7:
[12] access,sunlight [12] sunlight,prevention [12] prevention,treatment [12] treatment,hyperbilirubinemia [12] hyperbilirubinemia,term [12] term,late [12] late,term [12] term,neonates [11] cochraneneonate,access [6] vtoxfordnetwork,cochrane_us Top Word Pairs in Tweet in G8:
[5] please,consider [5] consider,re [5] re,tweeting [5] tweeting,themarcesociety [5] themarcesociety,swmh_ioppn [5] swmh_ioppn,ukimarce [5] ukimarce,city_cmchr [5] city_cmchr,researchonwh [5] researchonwh,cwmh_uom [5] cwmh_uom,uoycws Top Word Pairs in Tweet in G9:
[20] nrp,awhonn [19] bls,acls [19] acls,nrp [17] start,date [15] awhonn,fhm [12] #womenshealth,#telephonetriage [12] #facog,#acog [12] #acog,#awhonn [12] #everybodycounts,#triagedirect [12] #triagedirect,#exclusivelyrns Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: