The graph represents a network of 358 Twitter users whose tweets in the requested range contained "dctech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 18 December 2019 at 01:43 UTC.
The requested start date was Wednesday, 18 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 11-hour, 56-minute period from Wednesday, 04 December 2019 at 01:26 UTC to Tuesday, 17 December 2019 at 13:23 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 : 358
Unique Edges : 491
Edges With Duplicates : 456
Total Edges : 947
Number of Edge Types : 3
Mentions : 622
Replies to : 9
Tweet : 316
Self-Loops : 316
Reciprocated Vertex Pair Ratio : 0.0595482546201232
Reciprocated Edge Ratio : 0.112403100775194
Connected Components : 52
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 201
Maximum Edges in a Connected Component : 528
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.647743
Graph Density : 0.00403736913759917
Modularity : 0.461334
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 358 Twitter users whose tweets in the requested range contained "dctech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 18 December 2019 at 01:43 UTC.
The requested start date was Wednesday, 18 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 11-hour, 56-minute period from Wednesday, 04 December 2019 at 01:26 UTC to Tuesday, 17 December 2019 at 13:23 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 : dctech
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:
[117] #webdesign,#dctech [36] #dctech,#development [25] #dctech,#ui [25] computer,science [24] full,stack [23] #dctech,#washingtondc [23] science,education [23] education,week [23] week,#csedweek [21] #dctech,#ux Top Word Pairs in Tweet in G1:
[24] computer,science [22] science,education [22] education,week [22] week,#csedweek [18] join,movement [17] movement,empower [17] empower,student [17] student,school [17] school,learn [16] next,week Top Word Pairs in Tweet in G2:
[8] thinking,#newyearsresolution [8] #newyearsresolution,already [8] already,one [8] one,yours [8] yours,help [8] help,support [8] support,women [8] women,trans [8] trans,non [8] non,binary Top Word Pairs in Tweet in G3:
[7] ikea,invests [7] invests,logistics [7] logistics,startup [7] startup,better [7] better,manage [7] manage,returns [7] returns,ikea [7] dc,based [7] ceo,year [7] susan,tynan Top Word Pairs in Tweet in G4:
[5] dc,#dctech [4] virginia,#dctech [4] sheena,byrant [4] byrant,saw [4] saw,opportunities [4] opportunities,good [4] good,navapbc [4] navapbc,gave [4] gave,platform [4] platform,learn Top Word Pairs in Tweet in G5:
[7] #webdesign,#dctech [5] #ui,#webdesign [3] dealing,ads [3] ads,2020 [2] 2020,#ui [2] firefox,71 [2] 71,year [2] year,end [2] end,arrival [2] arrival,mozilla Top Word Pairs in Tweet in G6:
[6] sad,hear [6] hear,istrategylabs [6] istrategylabs,layoffs [6] layoffs,today [6] today,end [6] end,#dctech [6] #dctech,stalwart [6] stalwart,two [6] two,open [6] open,positions Top Word Pairs in Tweet in G7:
[15] mapbox,#hiring [15] #maps,#dctech [15] #dctech,#techjobs [15] #techjobs,#node [15] #node,#aws [13] dod,enterprise [13] enterprise,devsecops [13] devsecops,documents [13] documents,#infosec [13] #infosec,#cyberse Top Word Pairs in Tweet in G8:
[2] #asaetec19,#dctech Top Word Pairs in Tweet in G9:
[22] full,stack [11] cut,hiring [11] hiring,full [11] stack,engineer [11] engineer,full [11] stack,designer [11] designer,operations [11] operations,lead [10] blkcodecollctve,cut [10] lead,#blacktâ Top Word Pairs in Tweet in G10:
[2] inspiring,chat [2] chat,fellow [2] fellow,msb_mba [2] msb_mba,danberger [2] danberger,executive [2] executive,coach [2] coach,glehel [2] glehel,everyday [2] everyday,school [2] school,day Top Replied-To in Entire Graph:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: