First part of the analysis chose to picture the global conversation on Twitter by picking 3 accounts in Italian, Spanish and English languages. We identified several clusters gathering professional epidemiologists. In this follow up, we run a new analysis where the starting points are 3 Twitter accounts of epidemiologists that were found in these clusters. The end goal is to identify many more epidemiologists.

1. Re-focusing on 3 Twitter accounts
Follow up to the first part published on Slideshare:
https://www.slideshare.net/seinecle/covid-actors-relations-and-topics-on-twitter-as-of-march-30-2020
published on April 1, 2020 by Clément Levallois, Associate Professor at emlyon business school
Based on the methodology published in (free pdf download):
Benabdelkrim, M., Levallois, C., Savinien, J., & Robardet, C. (2020). Opening Fields: A Methodological Contribution to the
Identification of Heterogeneous Actors in Unbounded Relational Orders. M@n@gement, 23(1), 4-18.
https://doi.org/10.37725/mgmt.v23.4245
Contact: levallois@em-lyon.com or @seinecle on Twitter

2. In the previous study, we found 3 clusters of interest for epidemiology specialists:
See https://www.slideshare.net/seinecle/covid-actors-relations-and-topics-on-twitter-as-of-march-30-2020/12
-> We now pick the Twitter accounts that are most central to each cluster:
@SCBriand, @JenniferNuzzo and @SCBriand

3. Using these 3 accounts as seeds, we run the method to find related
accounts
Because our interest here is to zoom in on epidemiologists. We could have
chosen any other focus (journalists, healthcare companies, state organizations,
etc.)

4. Group 1 (270 members, 17% total)
key terms: infectious disease epidemiologist (32),
epidemiologist (23), epidemiology (17), disease
dynamic (15), virus (12), epitwitter (11), infectious
disease epidemiology (11), mer (11), studying (8),
oxford (8)
key accounts: @richardneher, @PeterHotez, @profvrr
Group 2 (405 members, 26% total)
key terms: coronavirus (54), covid (44), covid
coronavirus (19), real (19), disaster (19), coronavirus
covid (15), update (13), report (11), disease control
(11), assistant (11)
key accounts: @trvrb, @angie_rasmussen,
@VirusWhisperer
Group 3 (490 members, 31% total)
key terms: access (96), organization (64), peer
reviewed (58), health system (47), society (45), online
(42), european (36), privacy policy (35), oncology (32),
nih (27)
key accounts: @IDSAInfo, @ECDC_EU, @AmeshAA
Group 4 (128 members, 8% total)
key terms: beijing (156), china (66), chinese (64),
china correspondent (15), scmp (11), shanghai (11),
macro (8), asia (7), hong kong (6), freelance (5)
key accounts: @ChuBailiang, @xinyanyu, @XijinHu
Group 5 (284 members, 18% total)
key terms: public (58), politico (52), covering health
(36), statnew (32), health reporter (32), senior
correspondent (27), policy reporter (23), send (23),
reporter (15), washingtonpost (15)
key accounts: @DrewQJoseph, @ashishkjha,
@marynmck
The result is a network of 1,579 Twitter accounts, decomposed in:

5. Zoom on each key group
The following slides zoom on one of the colored regions
of the global picture

6. Group 1 decomposed in subgroups.
270 members. Key terms: health, infectious disease,
epidemiologist
sub-group 1-2 (87 members, 32%)
key terms: candidate (8), data (8), prof (6),
writer (6), dean (5), epitwitter (5), disease
ecologist (5), focusing (5), asst prof (5), policy
(5)
key accounts: @joshmich, @thelonevirologi,
@PeterHotez
sub-group 1-0 (38 members, 14%)
key terms: microbiology (5), statistician (3),
blogger (3), lumc leiden (3), occasional (3),
gym (3), drug (3), • (3)
key accounts: @EvolveDotZoo,
@PaulSaxMD, @EpiEllie
sub-group 1-1 (70 members, 26%)
key terms: global (15), dynamic (8), imperial
college (5), public health epidemiologist (5),
london (5), health policy (5), infectious disease
modelling (5), data scientist (5), control (5),
gate (5)
key accounts: @MMFill, @Caroline_OF_B,
@SRileyIDD
sub-group 1-3 (75 members, 28%)
key terms: lab (11), biology (6), emerging
infectious disease (5), preparedness (5),
centre (5), molecular (5), diagnostic (5),
immunity (5), dad (3), officer (3)
key accounts: @richardneher,
@KindrachukJason, @K_G_Andersen

7. Group 2 decomposed in subgroups.
405 members. Key terms: health, disease, coronavirus
sub-group 2-1 (117 members,
29%)
key terms: correspondent (15), host (8),
american (8), staff (8), real (8), senior
(6), modeling (5), biologist (5), obama
(5), math (5)
key accounts: @CT_Bergstrom,
@JenniferNuzzo, @JHSPH_CHS
sub-group 2-2 (171 members,
42%)
key terms: reporter (27), interested (19),
hiv (15), student (15), microbiology (15),
doc (15), global (15), epidemiologist
(14), university (12), emerging (11)
key accounts: @trvrb,
@angie_rasmussen, @VirusWhisperer
sub-group 2-3 (16 members, 4%)
key terms: york (5), city (3), event (3)
key accounts: @TheWarMonitor,
@NYCMayor, @IntelCrab
sub-group 2-0 (101 members,
25%)
key terms: coronavirus (33), coronavirus
covid (15), latest (11), spread (11),
update (11), covid (10), daily (8), source
(6), covid coronavirus (6), dave robert
(5)
key accounts: @MRC_Outbreak,
@BNODesk, @2019nCoVwatcher

8. Group 3 decomposed in subgroups.
490 members. Key terms: health, disease, global
sub-group 3-3 (162 members,
33%)
key terms: microbiology (83), infection
(76), antibiotic (42), emerging (27),
infectious disease (26), public (19),
evolution (19), microbial (19), resistance
(19), control (18)
key accounts: @IDSAInfo, @ECDC_EU,
@AmeshAA
sub-group 3-2 (99 members, 20%)
key terms: globalhealth (32),
development (27), health system (27),
global health (26), organization (21),
health policy (15), advocate (15), country
(8), london (8), connecting (8)
key accounts: @WHOAFRO, @GHS,
@francetim
sub-group 3-1 (43 members, 9%)
key terms: oncology (32), cancer (27),
food safety (8), medical oncology (5),
hematology (5), commission (5), clinical
oncology (5), standard (3), specialty (3),
peer reviewed article (3)
key accounts: @OncJournal,
@PennMedicine, @ASCO
sub-group 3-5 (120 members,
24%)
key terms: weekly (15), leading (11),
doctor (8), trusted (8), journal published
weekly (8), source (8), analysis (8),
medical journal (8), food (8), surgery (8)
key accounts: @statnews,
@picardonhealth, @EricTopol
sub-group 3-0 (62 members, 13%)
key terms: massachusett (19), std (8),
nation (8), privacy policy (7), boston (5),
largest (5), cdcgov (5), safety (5),
emergency (5), governor (5)
key accounts: @CDCMMWR,
@ASTHO, @NIOSH

9. Group 4 decomposed in subgroups.
128 members. Key terms: china, beijing, reporter
sub-group 4-2 (34 members, 27%)
key terms: scmp (8), bloomberg (8),
national (5), junkie (3), chinese law (3),
post (3), freelance (3), political (3),
international (3), scmp new view (3)
key accounts: @Chao_Deng,
@LiYuan6, @QiZHAI
sub-group 4-3 (35 members, 27%)
key terms: foreign (5), chinese (5), living
(3), year (3), focusing (3), foreign affair
(3), consumer (3), article (3), 纽约æ—
¶æš¥é© (3), york time reporter (3)
key accounts: @S_Rabinovitch,
@ChuBailiang, @hancocktom
sub-group 4-1 (48 members, 38%)
key terms: based (11), shanghai (11),
reuter (8), bbc (5), researcher (5), view
mine (5), policy (5), beijing (4), professor
(4), editor (3)
key accounts: @xinyanyu, @XijinHu,
@TheJohnSudworth

10. Group 5 decomposed in subgroups.
284 members. Key terms: health, reporter, science
sub-group 5-4 (50 members, 18%)
key terms: nature (8), phd (8), science writer
(8), science (5), natgeo (5), nerd (5), climate
(5), space (5), energy (5), rocket (3)
key accounts: @laurahelmuth, @ferrisjabr,
@NewHorizonsBot
sub-group 5-1 (42 members, 15%)
key terms: surgeon (5), ft (5), ap (5), public
(4), senior (4), atlantic (3), officer (3), senior
health (3), nursing (3), john (3)
key accounts: @emoryhealthsci,
@jameshamblin, @marynmck
sub-group 5-5 (21 members, 7%)
key terms: emergency physician (8), ontario
(5), foamed (5), physician (4), care (4), health
quality ontario (3), father (3), ucsf (3), host (3),
husband (3)
key accounts: @grahamwalker,
@DavidJuurlink, @skathire
sub-group 5-2 (28 members, 10%)
key terms: khnew (5), calhealthline (3), jersey
(3), station (3), staff (3), journalist covering (3),
hospital (3), health policy reporter (3), reporter
covering health (3), cq (3)
key accounts: @_melaevans, @jburns18,
@IshaniG
sub-group 5-3 (77 members, 27%)
key terms: statnew (64), journal (23), health
science (23), pharma (19), biotech (19),
bloomberg (11), wall street journal (11), wsj
(11), managing editor (8), reporter covering (8)
key accounts: @DrewQJoseph,
@meggophone, @GideonGil
sub-group 5-0 (66 members, 23%)
key terms: medicaid (15), kaiser (11), service
(11), medicare (8), professor (8), center (7),
policy (6), associate (6), native (5), vp (5)
key accounts: @sangerkatz, @neel_shah,
@ashishkjha