The graph represents a network of 1,091 Twitter users whose tweets in the requested range contained "fashiontech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 25 August 2022 at 05:36 UTC.
The requested start date was Thursday, 25 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 9-hour, 27-minute period from Thursday, 11 August 2022 at 07:53 UTC to Wednesday, 24 August 2022 at 17:20 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 : 1091
Unique Edges : 737
Edges With Duplicates : 13990
Total Edges : 14727
Number of Edge Types : 5
Retweet : 5905
MentionsInRetweet : 5726
Tweet : 663
Mentions : 2400
Replies to : 33
Self-Loops : 1871
Reciprocated Vertex Pair Ratio : 0.0506771515945828
Reciprocated Edge Ratio : 0.0964656964656965
Connected Components : 86
Single-Vertex Connected Components : 51
Maximum Vertices in a Connected Component : 898
Maximum Edges in a Connected Component : 14345
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.191719
Graph Density : 0.00202238498473751
Modularity : 0.125333
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,091 Twitter users whose tweets in the requested range contained "fashiontech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 25 August 2022 at 05:36 UTC.
The requested start date was Thursday, 25 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 9-hour, 27-minute period from Thursday, 11 August 2022 at 07:53 UTC to Wednesday, 24 August 2022 at 17:20 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 : fashiontech
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:
[2912] #healthtech,#datascientist [2885] #ehealth,#finserv [2865] #datascientist,#csuite [2865] #csuite,#digitalhealth [2848] #digitalhealth,#web3 [2847] #web3,#cx [2846] #finserv,#cloud [2843] #cx,#ehealth [2578] #cloud,#insurtech [2017] #datascience,#bigdata Top Word Pairs in Tweet in G1:
[1647] #datascience,#bigdata [1629] #ai,#ml [1598] #ml,#iot [1589] #iot,#datascience [1542] #bigdata,#analytics [1442] #analytics,#serverless [1326] #serverless,#linux [1141] #linux,#rstats [741] #ai,#iot [692] #rstats,#programming Top Word Pairs in Tweet in G2:
[580] #healthtech,#datascientist [575] #datascientist,#csuite [575] #csuite,#digitalhealth [571] #digitalhealth,#web3 [570] #web3,#cx [565] #cx,#ehealth [564] #ehealth,#finserv [555] #finserv,#cloud [547] chidambara09,#healthtech [544] #cloud,#insurtech Top Word Pairs in Tweet in G3:
[2262] #healthtech,#datascientist [2254] #ehealth,#finserv [2226] #finserv,#cloud [2223] #datascientist,#csuite [2223] #csuite,#digitalhealth [2213] #cx,#ehealth [2210] #digitalhealth,#web3 [2210] #web3,#cx [1970] #cloud,#insurtech [1157] chidambara09,#healthtech Top Word Pairs in Tweet in G4:
[113] #datascience,#bigdata [113] #bigdata,#analytics [112] #serverless,#linux [111] #ai,#ml [111] #ml,#iot [111] #iot,#datascience [111] #analytics,#serverless [110] #linux,#rstats [101] skills,required [101] required,different Top Word Pairs in Tweet in G5:
[83] #ai,#ml [82] #ml,#iot [82] #iot,#datascience [81] #datascience,#bigdata [81] #bigdata,#analytics [81] #analytics,#serverless [60] nicely,visualized [60] visualized,learning [60] learning,path [60] path,become Top Word Pairs in Tweet in G6:
[21] apple,watch [17] watch,充電器 [16] ハンドソープ,ディスペンサー [16] fashion,tech [15] 自動,泡 [12] 前回,圏外 [11] 楽天,#rakuafl [11] アップルウォッチ,充電器 [11] 充電器,apple [11] switch,コントローラー Top Word Pairs in Tweet in G7:
[22] #workinprogress,#nft [22] #nft,#gaming [22] #gaming,#art [22] #art,#developers [22] #developers,#rtitbot [22] #rtitbot,#fashiontech [22] #fashiontech,#devcommunity [22] #devcommunity,#painting [22] #painting,#graphics [14] kg_digital,#workinprogress Top Word Pairs in Tweet in G8:
[16] talktailor,believe [16] believe,design [16] design,know [16] know,note [16] note,looking [15] talktailor,talktailor [15] looking,corroborating [9] world,rely [8] styles,#fashiontech [7] rely,khalidahalu Top Word Pairs in Tweet in G9:
[6] meet,entrepreneurial [6] entrepreneurial,#changemakers [6] #changemakers,co [6] co,algaeing [6] algaeing,ecoalf [6] ecoalf,petitpli [6] petitpli,making [6] making,#fashion [6] #fashion,industry [6] industry,#sustainable Top Word Pairs in Tweet in G10:
[10] join,lacrovenft [10] lacrovenft,whitelist [10] whitelist,giveaway [10] giveaway,today [10] today,giving [10] giving,away [10] away,laclist [10] laclist,lacrove [10] lacrove,whitelist [10] whitelist,spots Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: