The graph represents a network of 1,346 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, 08 September 2022 at 05:48 UTC.
The requested start date was Thursday, 08 September 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 11-day, 8-hour, 7-minute period from Saturday, 27 August 2022 at 10:53 UTC to Wednesday, 07 September 2022 at 19:01 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 : 1346
Unique Edges : 647
Edges With Duplicates : 13397
Total Edges : 14044
Number of Edge Types : 5
Retweet : 5910
MentionsInRetweet : 5218
Mentions : 2283
Tweet : 607
Replies to : 26
Self-Loops : 1839
Reciprocated Vertex Pair Ratio : 0.0215139442231076
Reciprocated Edge Ratio : 0.0421216848673947
Connected Components : 95
Single-Vertex Connected Components : 66
Maximum Vertices in a Connected Component : 1180
Maximum Edges in a Connected Component : 13776
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.674326
Graph Density : 0.00141628506879809
Modularity : 0.146643
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,346 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, 08 September 2022 at 05:48 UTC.
The requested start date was Thursday, 08 September 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 11-day, 8-hour, 7-minute period from Saturday, 27 August 2022 at 10:53 UTC to Wednesday, 07 September 2022 at 19:01 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:
[3127] #csuite,#digitalhealth [3124] #healthtech,#datascientist [3124] #datascientist,#csuite [3109] #ehealth,#finserv [3106] #cx,#ehealth [3091] #digitalhealth,#web3 [3080] #web3,#cx [3079] #finserv,#cloud [2819] #cloud,#insurtech [2588] #ai,#iot Top Word Pairs in Tweet in G1:
[2624] #csuite,#digitalhealth [2621] #healthtech,#datascientist [2621] #datascientist,#csuite [2605] #ehealth,#finserv [2602] #cx,#ehealth [2595] #digitalhealth,#web3 [2584] #web3,#cx [2582] #finserv,#cloud [2394] #ai,#iot [2332] #cloud,#insurtech Top Word Pairs in Tweet in G2:
[483] #cx,#ehealth [483] #ehealth,#finserv [482] #healthtech,#datascientist [482] #datascientist,#csuite [482] #csuite,#digitalhealth [476] #finserv,#cloud [475] #digitalhealth,#web3 [475] #web3,#cx [466] #cloud,#insurtech [459] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[123] #ai,#ml [118] skills,required [118] required,different [118] different,sectors [118] sectors,#ai [118] #ml,#iot [118] #iot,#datascience [118] #datascience,#bigdata [118] #bigdata,#analytics [118] #analytics,#serverless Top Word Pairs in Tweet in G4:
[93] #ai,#ml [92] skills,required [92] required,different [92] different,sectors [92] sectors,#ai [92] #ml,#iot [92] #iot,#datascience [92] #datascience,#bigdata [92] #bigdata,#analytics [92] #analytics,#serverless Top Word Pairs in Tweet in G5:
[96] #ai,#iot [96] #iot,#iiot [96] #iiot,#cx [96] #cx,#ml [96] #ml,#selfdrivingcars [96] #selfdrivingcars,#fashiontech [96] #fashiontech,#smartcity [86] quick,reference [86] reference,data [86] data,visualization Top Word Pairs in Tweet in G6:
[88] #ai,#ml [81] #datascience,#bigdata [81] #bigdata,#analytics [81] #serverless,#linux [81] #linux,#rstats [80] skills,required [80] required,different [80] #ml,#iot [80] #iot,#datascience [80] #analytics,#serverless Top Word Pairs in Tweet in G7:
[100] #ai,#ml [88] #ml,#iot [88] #iot,#datascience [88] #datascience,#bigdata [88] #bigdata,#analytics [88] #analytics,#serverless [88] #serverless,#linux [88] #linux,#rstats [85] skills,required [85] required,different Top Word Pairs in Tweet in G8:
[21] 自動,泡 [19] ハンドソープ,ディスペンサー [19] fashion,tech [17] apple,watch [15] 前回,圏外 [13] jeunes,pousses [13] pousses,mode [13] mode,orientent [13] orientent,vers [13] vers,secteur Top Word Pairs in Tweet in G9:
[13] hodl,sweater [13] #iot,#iiot [11] sneak,peek [11] peek,another [11] another,prototypes [11] prototypes,working [11] working,hard [11] hard,make [11] make,sure [11] sure,garments Top Word Pairs in Tweet in G10:
[33] #ai,#ml [32] skills,required [32] required,different [32] different,sectors [32] sectors,#ai [32] #ml,#iot [32] #iot,#datascience [32] #datascience,#bigdata [32] #bigdata,#analytics [32] #analytics,#serverless Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 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: