The graph represents a network of 1,396 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, 25 December 2022 at 02:55 UTC.
The requested start date was Sunday, 25 December 2022 at 01:01 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 8-day, 15-hour, 25-minute period from Friday, 16 December 2022 at 08:52 UTC to Sunday, 25 December 2022 at 00:18 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 : 1396
Unique Edges : 2035
Edges With Duplicates : 14468
Total Edges : 16503
Number of Edge Types : 5
Retweet : 4996
MentionsInRetweet : 4813
Tweet : 583
Mentions : 6055
Replies to : 56
Self-Loops : 2485
Reciprocated Vertex Pair Ratio : 0.0487334801762115
Reciprocated Edge Ratio : 0.0929377789446049
Connected Components : 25
Single-Vertex Connected Components : 13
Maximum Vertices in a Connected Component : 1355
Maximum Edges in a Connected Component : 16457
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.112535
Graph Density : 0.0019559211674934
Modularity : 0.154604
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,396 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, 25 December 2022 at 02:55 UTC.
The requested start date was Sunday, 25 December 2022 at 01:01 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 8-day, 15-hour, 25-minute period from Friday, 16 December 2022 at 08:52 UTC to Sunday, 25 December 2022 at 00:18 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:
[4376] #healthtech,#smartcity [4373] #datascientist,#csuite [4370] #csuite,#digitalhealth [4367] #smartcity,#datascientist [4365] #digitalhealth,#web3 [4352] #web3,#cx [4336] #cx,#ehealth [4334] #ehealth,#finserv [4038] #finserv,#cloud [2562] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[202] #fintech,#finserv [191] #healthtech,#smartcity [190] #smartcity,#datascientist [189] #datascientist,#csuite [187] #csuite,#digitalhealth [187] #digitalhealth,#web3 [185] #cx,#ehealth [185] #web3,#cx [184] #ehealth,#finserv [184] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[4161] #healthtech,#smartcity [4160] #datascientist,#csuite [4159] #csuite,#digitalhealth [4154] #digitalhealth,#web3 [4152] #smartcity,#datascientist [4143] #web3,#cx [4127] #cx,#ehealth [4126] #ehealth,#finserv [3811] #finserv,#cloud [2355] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[30] #finance,#finserv [15] #fintech,#finserv [11] #fintech,#insurtech [11] stratorob,#fintech [10] know,#fintech [9] #insurtech,#finserv [8] 2022,#technology [8] #fintech,2022 [8] rapidly,shifting [8] shifting,#insurtech Top Word Pairs in Tweet in G4:
[96] #fintech,#finserv [62] #finserv,#banking [30] #fintech,#banking [28] #innovation,#fintech [17] #payments,#paytech [15] searching,#wordpressdesigner [15] samadweb50,searching [15] #wordpress,#webdesign [15] #webdesign,#developer [15] #wordpressdesigner,knock Top Word Pairs in Tweet in G5:
[772] #iot,#iiot [740] #javascript,#reactjs [732] #python,#iot [722] #iiot,#pytorch [501] #reactjs,#wordpress [493] #pytorch,#ad [489] #ad,#javascript [373] #wordpress,#security [323] #100daysofcode,#cybersecurity [320] #cybersecurity,#python Top Word Pairs in Tweet in G6:
[61] safe,password [59] #infographic,statistacharts [59] #cybersecurity,#datasecurity [58] password,#infographic [58] statistacharts,ht [58] ht,eli_krumova [57] eli_krumova,#cybersecurity [46] #datasecurity,#iotsecurity [44] kirkdborne,safe [44] #iotsecurity,#fi Top Word Pairs in Tweet in G7:
[82] #blockchain,#tech [55] #finserv,psb_dc [54] psb_dc,betamoroney [53] #tech,#finserv [52] betamoroney,efipm [51] efipm,brettking [50] brettking,spirosmargaris [48] #fintech,#crypto [46] #fintech,#finserv [42] #bitcoin,#blockchain Top Word Pairs in Tweet in G8:
[7] jpnicols,daily [7] innovation,strategy [7] strategy,leadership [7] reading,jpnicols [7] daily,newsfeed [7] newsfeed,innovation [5] leadership,#fintech [5] #fintech,#finserv [5] #finserv,stories Top Word Pairs in Tweet in G9:
[5] pascalbouvier,managing [5] s2e9,pascal [5] partner,middlegamevc [5] stratorob,#fintech [5] pascal,gives [5] gives,recap [5] #officehours,s2e9 [5] managing,partner [5] middlegamevc,vc [5] recap,2022 Top Word Pairs in Tweet in G10:
[3] financial,services [2] #finserv,#healthtech Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
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: