The graph represents a network of 1,586 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, 12 June 2022 at 01:47 UTC.
The requested start date was Sunday, 12 June 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, 21-hour, 59-minute period from Tuesday, 07 June 2022 at 02:01 UTC to Sunday, 12 June 2022 at 00:01 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 : 1586
Unique Edges : 3192
Edges With Duplicates : 17854
Total Edges : 21046
Number of Edge Types : 5
Mentions : 3580
MentionsInRetweet : 10556
Retweet : 6493
Tweet : 349
Replies to : 68
Self-Loops : 714
Reciprocated Vertex Pair Ratio : 0.0534108937070333
Reciprocated Edge Ratio : 0.10140562248996
Connected Components : 45
Single-Vertex Connected Components : 26
Maximum Vertices in a Connected Component : 1498
Maximum Edges in a Connected Component : 20926
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.043743
Graph Density : 0.0023772679717242
Modularity : 0.194379
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,586 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, 12 June 2022 at 01:47 UTC.
The requested start date was Sunday, 12 June 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, 21-hour, 59-minute period from Tuesday, 07 June 2022 at 02:01 UTC to Sunday, 12 June 2022 at 00:01 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 : #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:
[2281] #iot,#iiot [2168] #javascript,#reactjs [1968] #reactjs,#wordpress [1745] #iiot,#pytorch [1729] #wordpress,#security [1652] #python,#iot [1520] #security,#defi [1162] #pytorch,#javascript [943] #datascientist,#mwc22 [943] #cx,#women Top Word Pairs in Tweet in G1:
[592] #fintech,#finserv [177] enricomolinari,#marketing [177] #marketing,#fintech [144] #finserv,#bnpl [114] #datascientist,#mwc22 [114] #mwc22,#ai [114] #ai,#des2022 [114] #des2022,#digitalhealth [114] #digitalhealth,#cx [114] #cx,#women Top Word Pairs in Tweet in G2:
[459] #javascript,#reactjs [437] #iot,#iiot [402] #reactjs,#wordpress [364] #python,#iot [358] #iiot,#pytorch [340] #wordpress,#security [297] #security,#defi [211] #pytorch,#javascript [168] #defi,#ad [153] #fintech,#finserv Top Word Pairs in Tweet in G3:
[689] #datascientist,#mwc22 [689] #cx,#women [687] #des2022,#digitalhealth [687] #digitalhealth,#cx [686] #women,#ehealth [684] #mwc22,#ai [682] #ai,#des2022 [668] #healthtech,#datascientist [658] #ehealth,#ces2023 [385] chidambara09,#healthtech Top Word Pairs in Tweet in G4:
[1836] #iot,#iiot [1697] #javascript,#reactjs [1557] #reactjs,#wordpress [1381] #wordpress,#security [1379] #iiot,#pytorch [1278] #python,#iot [1216] #security,#defi [949] #pytorch,#javascript [749] #ai,#iot [731] #python,#ai Top Word Pairs in Tweet in G5:
[17] #fintech,#banking [15] #innovation,#fintech [12] #finserv,#payments [6] #banking,#openbanking [6] #openapis,#finserv [5] cloud,adoption [4] #tech,observed [4] observed,practices [4] practices,cloud [4] adoption,large Top Word Pairs in Tweet in G6:
[7] #investing,#digital [7] #digital,#technology [7] #technology,#innovation [7] #innovation,#iot [7] #iot,#data [7] #data,#datascience [6] tree,pruning [6] pruning,#business [6] #business,#investing [3] discover,#dellapex Top Word Pairs in Tweet in G7:
[11] interviewed,top [11] top,#fintech [11] #fintech,#finserv [11] finovate,spring [11] hear,insights [11] insights,tessa [11] tessa,wijaya [9] wijaya,xendit_co [8] ceo,interviewed [8] #finserv,pros Top Word Pairs in Tweet in G8:
[20] #marketing,#fintech [20] #fintech,#finserv [19] #finserv,#blockchain [18] #blockchain,#tech [18] #tech,#security [18] #security,#web3 [18] #web3,#metaverse [18] #metaverse,#nft [16] #defi,#finserv [15] #finserv,#fintech Top Word Pairs in Tweet in G9:
[12] future,#fintech [12] #fintech,#finserv [12] #finserv,#blockchain [12] #blockchain,#insurance [12] #insurance,#cryptocurrency [12] #cryptocurrency,#nfts [12] #nfts,#tech [12] #tech,#innovation [12] #innovation,#datascience [11] kanezadiane,future Top Word Pairs in Tweet in G10:
[11] pre,register [11] register,discover [11] discover,cubeler [11] cubeler,business [11] business,hub [10] hub,reach [10] reach,business [10] business,goals [10] goals,#cubeler [9] cubelerhub,pre 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 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: