The graph represents a network of 1,717 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 03 July 2022 at 01:53 UTC.
The requested start date was Sunday, 03 July 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 4-day, 6-hour, 42-minute period from Monday, 27 June 2022 at 03:39 UTC to Friday, 01 July 2022 at 10:21 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 : 1717
Unique Edges : 3177
Edges With Duplicates : 17626
Total Edges : 20803
Number of Edge Types : 5
MentionsInRetweet : 10297
Retweet : 6190
Mentions : 3684
Tweet : 492
Replies to : 140
Self-Loops : 987
Reciprocated Vertex Pair Ratio : 0.0455910938328327
Reciprocated Edge Ratio : 0.0872063545715734
Connected Components : 47
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 1604
Maximum Edges in a Connected Component : 20618
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.070013
Graph Density : 0.00200823249745789
Modularity : 0.202392
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,717 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 03 July 2022 at 01:53 UTC.
The requested start date was Sunday, 03 July 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 4-day, 6-hour, 42-minute period from Monday, 27 June 2022 at 03:39 UTC to Friday, 01 July 2022 at 10:21 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 : #FinServ
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:
[2530] #iot,#iiot [2150] #javascript,#reactjs [1876] #reactjs,#wordpress [1788] #python,#iot [1683] #iiot,#pytorch [1556] #wordpress,#security [1389] #security,#defi [1167] #pytorch,#javascript [1148] #cx,#women [1148] #women,#ehealth Top Word Pairs in Tweet in G1:
[382] #fintech,#finserv [165] #finserv,#bigdata [124] #ehealth,#finserv [122] #finserv,#banking [122] #digitalhealth,#cx [122] #cx,#women [122] #women,#ehealth [121] #healthtech,#datascientist [121] #datascientist,#mwc22 [120] #mwc22,#digital Top Word Pairs in Tweet in G2:
[163] #iot,#iiot [159] #javascript,#reactjs [153] #fintech,#finserv [147] #python,#iot [145] #reactjs,#wordpress [127] #technology,#nftcommunity [127] #iiot,#pytorch [122] #wordpress,#security [104] #security,#defi [83] #web3,#technology Top Word Pairs in Tweet in G3:
[865] #cx,#women [865] #women,#ehealth [864] #digitalhealth,#cx [862] #healthtech,#datascientist [862] #datascientist,#mwc22 [848] #ehealth,#finserv [840] #digital,#digitalhealth [838] #mwc22,#digital [779] #finserv,#bigdata [471] chidambara09,#healthtech Top Word Pairs in Tweet in G4:
[2019] #iot,#iiot [1936] #javascript,#reactjs [1679] #reactjs,#wordpress [1585] #python,#iot [1504] #iiot,#pytorch [1394] #wordpress,#security [1248] #security,#defi [1065] #pytorch,#javascript [719] #ai,#iot [707] #python,#ai Top Word Pairs in Tweet in G5:
[111] #fintech,#finserv [106] #marketing,#fintech [104] #finserv,#blockchain [104] #blockchain,#tech [97] #tech,#security [87] #security,#web3 [85] #web3,#metaverse [79] #metaverse,#nft [58] #nft,#innovation [33] #innovation,#crosschain Top Word Pairs in Tweet in G6:
[8] financial,services [5] delivering,financial [5] services,mobile [5] mobile,phone [5] phone,benefit [5] benefit,billions [5] billions,people [5] people,spurring [5] spurring,inclusive [5] inclusive,growth Top Word Pairs in Tweet in G7:
[3] financial,services [3] #bajaj,#finserv [2] #fintech,#finserv [2] customer,experience [2] experience,becoming [2] becoming,more [2] more,important [2] important,#finserv [2] #finserv,banking [2] banking,industry Top Word Pairs in Tweet in G8:
[72] searching,#wordpressdesigner [72] #wordpressdesigner,knock [72] knock,#wordpress [72] #wordpress,#webdesign [72] #webdesign,#developer [45] samadweb50,searching [45] #developer,#elemento [32] #fintech,#finserv [24] #developer,#elementor [24] #elementor,#elementorpro Top Word Pairs in Tweet in G9:
[10] stratorob,time [10] time,#marketers [10] #marketers,believe [10] believe,#metaverse [10] #metaverse,hype [10] hype,insurtechforum [10] insurtechforum,billyjura [10] billyjura,denisegart [2] #python,#iot [2] #iot,#iiot Top Word Pairs in Tweet in G10:
[2] #finserv,#innovation [2] congratulations,institute [2] institute,founding [2] founding,members [2] members,aaronschumm [2] aaronschumm,ceo [2] ceo,vestwell [2] vestwell,michael [2] michael,blundin [2] blundin,ceo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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 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: