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SON-M approach

Empirical. Simulated. N etworks Twitter [in virtuo] Fb [in virtuo] Treema ..[in virtuo] Work [in vivo] Riot [in vivo] …. SON-M approach. System/Network e mergent behaviour & states E-herding +. Behavioural Influence. Nodes Twitter [in virtuo] Fb [in virtuo] Treema ..[in virtuo]

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SON-M approach

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  1. Empirical Simulated Networks Twitter [in virtuo] Fb[in virtuo] Treema..[in virtuo] Work [in vivo] Riot [in vivo] … SON-M approach System/Network emergent behaviour & states E-herding + Behavioural Influence Nodes Twitter [in virtuo] Fb[in virtuo] Treema..[in virtuo] Work [in vivo] Riot [in vivo] … Behavioural Influence Element/Node manifest behaviour & states intra & inter psychic

  2. search & find #tag or @pap write message to @pap read message from @pap Node behaviors: twitter messaging search & find (un)following Online/offline @a logon / logoff @b @b (un)follows @a updating @b profile @a profile tweeting reading profiles reading new:#tag ret:#tag ∆ret:#tag plain tweet no tweet tweets eHerd? at system level, through time eHerding?

  3. intra & inter psychic DETERMINANTS Node behaviors& possible determinants: twitter DATA internal (twitter) BEHAVIORS (twitter) DATA external arousal Proxy: significant increase in tweets survey logon / logoff habits Proxy: time of day,…. survey reading tweets salience of topic Proxy: search history, past tweets, survey, news hype tweeting cognitive capacity See article Wen See article Wen search & find gender 5 5 updating profile age 6 6 reading profiles perceived events Proxy: search history, past tweets, survey, news hype messaging need to interact Proxy: frequency tweets and messaging survey (un)following trust Proxy: following? survey? need to belong Proxy: correspondence followees & followers ??? survey ??? ??? ???

  4. Diameter node = univariate Thickness arrow= correlation strength T: longitudinal or S: cross sectional T1 or S1 T2 or S2 T3 or S3 p1,1 p1,2 p1,3 System Behavior: twitter p3,1 p3,2 p2,3 p3,3 p2,1 p2,2 p4,1 p5,1 p5,2 p5,3 p4,2 p4,3 p7,1 p7,2 p7,3 p6,1 p6,2 p6,3 p1,i : outgoing connections p2,i : distribution #tags p3,i : volume #tag(s) …. System Tor S =(subset: #tags and/or @nodes)

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