Networks1. Twitter [in virtuo]2. Fb [in virtuo]3. Treema..[in virtuo]4. Work [in vivo]5. Riot [in vivo]6. …

Empirical

Nodes1. Twitter [in virtuo]2. Fb [in virtuo]3. Treema..[in virtuo]4. Work [in vivo]5. Riot [in vivo]6. …

Simulated

Element/Node manifest behaviour & states

intra & inter psychic

System/Network emergent behaviour & states

E-herding +

Behavioural Influence

Behavioural Influence

SON-M approach

Node behaviors: twitter

@b @a

ret:#tag ∆ret:#tag plain tweetnew:#tag

@b (un)follows @a

search & find #tag or @pap

(un)following

read message from @pap

eHerd? at system level, through time eHerding?

Online/offline

tweets

@a profile@b profile reading profilesreading

updating

logon / logoff

messagingsearch & find

no tweet

tweeting

write message to @pap

Node behaviors & possible determinants: twitter

(un)following

tweeting

reading profiles

reading tweets

updating profile

logon / logoff

messaging

search & find

arousal

habits

salience of topic

cognitive capacity

gender

age

perceived events

need to interact

trust

need to belong

???

BEHAVIORS (twitter)intra & inter psychicDETERMINANTS DATA internal (twitter)

Proxy: significant increase in tweets

Proxy: time of day,….

Proxy: search history, past tweets,

See article Wen

5

6

Proxy: search history, past tweets,

Proxy: frequency tweets and messaging

Proxy: following?

Proxy: correspondence followees & followers

???

DATA external

survey

survey

survey, news hype

See article Wen

5

6

survey, news hype

survey

survey?

survey

???

???

T1 or S1

System Behavior: twitter

p1,1

p2,1

p4,1

p3,1

p5,1

p6,1

p7,1

T2 or S2

p1,2

p2,2

p4,2

p3,2

p5,2

p6,2

p7,2

T3 or S3

p1,3

p2,3

p4,3

p3,3

p5,3

p6,3

p7,3

Diameter node = univariateThickness arrow= correlation strengthT: longitudinal or S: cross sectional

p1,i : outgoing connectionsp2,i : distribution #tagsp3,i : volume #tag(s)….

System T or S =(subset: #tags and/or @nodes)