PILKADA DKI 2017 SOCIAL NETWORK MODEL

early report 8-11 Feb 2017 (60 hours)

by andry alamsyahandry.alamsyah@gmail.com

DATA PROFILE• data collection between 8-11 february 2017 (60 hours)

• at 10 february, there were last round debat between the candidates, thus it increase number of tweets about the election after the debat

• total tweet collected166593, where candidate 1 (35380), candidate 2 (49028), candidate 3 (82185)

• Raw data size : 900 MB

• candidate 1 : #jakartauntukrakyat #ahyfordki1 #MuslimberSatupilihno1 #AgusSylviKonsisten #SATUkanjakarta #JakartaForAll, Agus Sylvi

• candidate 2 : #perjuanganbelumselesai #coblosbadjanomor2 #FreeAhok #BadjaMelaju #SekuatBadja #Gue2 #Badjajuara #salamduajari, Ahok Djarot

• candidate 3 : #salambersama #TerbuktiOkOce #majubersama #CoblosPecinya #AniesSandiCintaUlama, Anies Sandi

DATA PROFILE (#HASHTAG)

CANDIDATE 1 : THE CONVERSATION UNIVERSE

CANDIDATE 1: DETAILS ON DOMINANT GROUP (PURPLE)

CANDIDATE 1: INTERACTION BETWEEN TOP ACTORS

CANDIDATE 1: OVERALL METRIC RANKS

CANDIDATE I OVERVIEW

• There are 8505 actors involved in conversations, there are 29836 conversations.

• There 3 dominat groups (purple, green, blue) who dominate 60 percent of overall conversations

• the biggest group contain @AgusYudhoyono @Abaaah @SBYudhoyono (27 percent size)

CANDIDATE 2 : THE CONVERSATION UNIVERSE

CANDIDATE 2: DETAILS ON DOMINANT GROUP

CANDIDATE 2: INTERACTION BETWEEN TOP ACTORS

CANDIDATE 2: OVERALL METRIC RANKS

CANDIDATE 2 OVERVIEW• There are 15745 actors involved in conversations,

there are 44834 conversations.

• The groups are less dominant than other candidate network, the biggest group size only 10 percent of overall network.

• the dominant actors located on different groups, can be seen from their different node colors

CANDIDATE 3 : THE CONVERSATION UNIVERSE

CANDIDATE 3: DETAILS ON DOMINANT GROUP

CANDIDATE 3: INTERACTION BETWEEN TOP ACTORS

CANDIDATE 3: OVERALL METRIC RANKS

CANDIDATE 3 OVERVIEW• There are 12744 actors involved in conversations, there are

22565 conversations. The biggest number of tweets comparing to other candidates (82185 tweet = almost 50 percent of all tweet data)

• Conversation / tweet ratio is small, mostly is individual tweet or tweets that dont generate conversation

• There 3 dominant groups (purple (26,76%), green(23,67%), blue(18,51%)) who dominate 69 percent of overall conversations

CONCLUSION (TEMPORARY)• From this methods, we can measure the dynamics of group formation and the

tendency of actors to form group inside a candidate social network

• Network density of number 2 is higher than other, thus it means it generate more conversation than other candidates network

• Candidate 1 and 3 have higher modularity value than candidate 2, it means the groups are well separated (distinct separation), while in number 2, groups are less distinct separation, where people can jump from one to other topics (groups) easily.

• Can be concluded that the conversation idea / topics in network number 2 is more natural, because they are coming from the masses, while in number 1 and number 3, they are mostly generated by influential actors ..

NOTE• The social network in this presentation describe the

dynamcis of social conversation

• To predict / model who is the winner, we need other measurement such as sentiment analysis

• With large scale social data, sentiment analysis process will take times, while social network methods will give very fast analysis.