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SOCIAL NETWORK ANALYSIS WITH R
David Chiu @ 中興大學
ABOUT ME
Co-founder of NumerInfo
Trend Micro Engineer
ywchiu-tw.appspot.com
AGENDA
What is Social Network?
Why to Analyze Social Network?
How to Analyze
Social Network Connection (Oauth, Oauth2, Ope...
SOCIAL NETWORK

http://libeltyseo.com/wp-content/uploads/2013/03/social-networking.png
HUMAN NATURE

http://cdn.macado.com/assets/2010/03/peeping-tom.gif
WHAT DO WE WANT TO KNOW?
Who knows whom, and which people are common to their
social networks?
How frequently are particul...
EXPLORE FACEBOOK
LESSON 1: CONNECT TO SOCIAL NETWORK
OAuth Flow
Oauth v.s. OAuth2
OpenID
OAUTH FLOW
Open standard for authorization. OAuth provides a method for
clients to access server resources on behalf of a ...
DIFFERENCE BETWEEN OAUTH AND OAUTH2
More OAuth Flows to allow better support for non-browser
based applications
OAuth 2.0 ...
OPENID
Open standard that allows users to be authenticated by certain
co-operating sites
CONNECT TO FACEBOOK

https://developers.facebook.com/
GET ACCESS TOKEN

https://developers.facebook.com/tools/explorer/
USER PERMISSION
PERMISSION LIST
User Data Permissions:
user_hometown
user_location
user_interests
user_likes
user_relationships
Friends Da...
COPY TOKEN
LESSON 2: SOCIAL NETWORK ANALYSIS WITH
R
Let's Hack
REQUIRED PACKAGES
RCurl
General network (HTTP/FTP/...) client interface for R
rjson
JSON for R
XML
Tools for parsing and g...
REQUIRED PACKAGE
i sa lp ca e( ( rs n,Ru l ,X L, ir p'' io s) dp ne c e= RE
n tl . ak gs c' jo ''C r' 'M ' ' g ah,b tp ' ,...
FACEBOOK CONNECT

f _o nc < f nt o ( p t = " e, ac s_ oe = tk n ot os {
b cn e t - u c in a h
m" ce s tk n
o e, p in )
i (...
TEST ON API EXPLORER
EXECUTED RESULT
> f_ on c( m" a cs _o e)
bc n et "e ,c es t kn
$d
i
[ ]" 72 48 "
1 7 8 28 9
$ ae
nm
[ ]" ai C i"
1 Dvd hu
...
GET FRIEND LIST
> fi ns < f_ on c (a h" ef in s,a cs _o e=c es tk n
re d - bc n et pt =m / re d" c es t kn ac s_ oe )
> fi...
GET FRIEND GROUP LIST
f in go p < f _ on c( pt = m/ re di t" a cs _ oe =c es tk n
r ed r us - bc ne t a h" ef in l ss, ce ...
FACEBOOK ELEMENT EXTRACTOR

# Gt Fi ns If r ai nF o F
e r ed n om to rm B
m < f_ on c( a h" e, ac s _o e= ce st k n o t os...
GET FRIENDSHIP MATRIX

f in si s< f nt o( {
r ed h p - u c in )
pi t" ee ai g fi ns i mt i"
rn ( Gn rt n re d hp a rx)
N< ...
FRIEND GRAPH

f in ga h< f nt o( r ed hpmt i ) {
r ed r p - u c in fi ns i.a rx
f i n s i . r p < g a h a j c n y f i n s ...
DRAW FRIENDSHIP GRAPH
f mt i < f in s is )
_ ar x - re dh p(
f ga h< f in ga hf m ti)
_ rp - r ed r p( _a rx
w ie ga hf ga...
GRAPH XML FORAMT (GRAPHML)
LESSON 3: SOCIAL NETWORK VISUALIZATION
Using Gephi
GEPHI
Gephi, an open source graph visualization and manipulation
software
MODULARITY
Measure of the structure of networks or graphs. It was
designed to measure the strength of division of a networ...
LEARN MORE ABOUT GEPHI
https://www.udemy.com/gephi/
GET LIKES COUNT OF POSTS

r qi ep y)
e ur ( lr
p ss < f_ on c( ah " ep ss ,a cs _ oe =c es t kn ot o sl s( fe d "" i
o t -...
CONCLUSION REMARK
Interesting Fact Abour Friends
Value Behind The Network
Statstic Is Worth More Than Thousand of Words
YOUR TURN TO DO SOME ANALYSIS
Find Popular Checkins Among Your Friends
Common Interest Between Your Friends
Female/Male Di...
THANK YOU
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Social Network Analysis With R

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Social Network Analysis With R

  1. 1. SOCIAL NETWORK ANALYSIS WITH R David Chiu @ 中興大學
  2. 2. ABOUT ME Co-founder of NumerInfo Trend Micro Engineer ywchiu-tw.appspot.com
  3. 3. AGENDA What is Social Network? Why to Analyze Social Network? How to Analyze Social Network Connection (Oauth, Oauth2, OpenID) Social Network Analysis With R Social Network Visualization (Gephi) Facebook Post Liked Analysis Conclusion
  4. 4. SOCIAL NETWORK http://libeltyseo.com/wp-content/uploads/2013/03/social-networking.png
  5. 5. HUMAN NATURE http://cdn.macado.com/assets/2010/03/peeping-tom.gif
  6. 6. WHAT DO WE WANT TO KNOW? Who knows whom, and which people are common to their social networks? How frequently are particular people communicating with one another? Which social network connections generate the most value for a particular niche? How does geography affect your social connections in an online world? Who are the most influential/popular people in a social network? What are people chatting about (and is it valuable)? What are people interested in based upon the human language that they use in a digital world?
  7. 7. EXPLORE FACEBOOK
  8. 8. LESSON 1: CONNECT TO SOCIAL NETWORK OAuth Flow Oauth v.s. OAuth2 OpenID
  9. 9. OAUTH FLOW Open standard for authorization. OAuth provides a method for clients to access server resources on behalf of a resource owner
  10. 10. DIFFERENCE BETWEEN OAUTH AND OAUTH2 More OAuth Flows to allow better support for non-browser based applications OAuth 2.0 no longer requires client applications to have cryptography OAuth 2.0 signatures are much less complicated OAuth 2.0 Access tokens are "short-lived" OAuth 2.0 is meant to have a clean separation of roles between the server responsible for handling OAuth requests and the server handling user authorization
  11. 11. OPENID Open standard that allows users to be authenticated by certain co-operating sites
  12. 12. CONNECT TO FACEBOOK https://developers.facebook.com/
  13. 13. GET ACCESS TOKEN https://developers.facebook.com/tools/explorer/
  14. 14. USER PERMISSION
  15. 15. PERMISSION LIST User Data Permissions: user_hometown user_location user_interests user_likes user_relationships Friends Data Permissions: friends_hometown friends_location friends_interests friends_likes friends_relationships Extended Permissions: read_friendlists
  16. 16. COPY TOKEN
  17. 17. LESSON 2: SOCIAL NETWORK ANALYSIS WITH R Let's Hack
  18. 18. REQUIRED PACKAGES RCurl General network (HTTP/FTP/...) client interface for R rjson JSON for R XML Tools for parsing and generating XML within R and S-Plus igraph Network analysis and visualization bitops Bitwise Operations
  19. 19. REQUIRED PACKAGE i sa lp ca e( ( rs n,Ru l ,X L, ir p'' io s) dp ne c e= RE n tl . ak gs c' jo ''C r' 'M ' ' g ah,b tp ' ,e ed ni sT U) l ba yr sn i rr ( jo ) l ba yR ul i rr ( Cr ) l ba yX L i rr ( M) l ba yi rp ) i rr ( ga h l ba yb tp ) i rr ( io s
  20. 20. FACEBOOK CONNECT f _o nc < f nt o ( p t = " e, ac s_ oe = tk n ot os { b cn e t - u c in a h m" ce s tk n o e, p in ) i ( !i sn (p i n) ) f m si go to s { o to s< s rn f "% " ps e nm s o to s ,"" ul s( pi n) c la s =" p i n - p i t( ?s, a t( ae ( pi n) =, ni to t os , ol pe & o to s< g u( ,, "2 " o to s p i n - s b "" %C, p in ) u l< s rn f "t p: / r p .a eo kc m% % &c es tk n % " pt , ot os a c r - p it ( ht s /g ah fc bo . o/ssac s _o e= s, a h pi n , c }e s { le u l< s rn f "t p: / r p .a eo kc m% ? ce st kn %" p t, a cs _o e ) r - p it ( ht s /g ah fc bo . o/sa cs _ oe=s , ah c es t kn } dt < gt R ( u l s l vr fp e =F LE ) aa - e UL r , s. ei y er AS fo JO (d t ) rm S N aa }
  21. 21. TEST ON API EXPLORER
  22. 22. EXECUTED RESULT > f_ on c( m" a cs _o e) bc n et "e ,c es t kn $d i [ ]" 72 48 " 1 7 8 28 9 $ ae nm [ ]" ai C i" 1 Dvd hu $ is _a e f rt n m [ ]" ai " 1 Dvd $ at nm l s_ a e [ ]" hu 1 Ci" $ ik ln [ ]" tp :/ w. a eo kc mC i Y" 1 h t s/ ww fc bo . o/ hu W $ sr ae u en m [ ]" hu W 1 C i Y"
  23. 23. GET FRIEND LIST > fi ns < f_ on c (a h" ef in s,a cs _o e=c es tk n re d - bc n et pt =m / re d" c es t kn ac s_ oe ) > fi ns re d
  24. 24. GET FRIEND GROUP LIST f in go p < f _ on c( pt = m/ re di t" a cs _ oe =c es tk n r ed r us - bc ne t a h" ef in l ss, ce st kn ac s _o e) f in go p. d < sp l (r ed ru s d t,f nt o()xi) r ed r us i - a py fi n go p$ aa u c inx $d f in go p. ae < sp l (r ed ru s d t,f nt o()xn m) r ed r us nm - a py fi n go p$ aa u c inx $a e
  25. 25. FACEBOOK ELEMENT EXTRACTOR # Gt Fi ns If r ai nF o F e r ed n om to rm B m < f_ on c( a h" e, ac s _o e= ce st k n o t osls (f ed ""d nm ,o e - b cn et pt =m " c es tk na c s_ oe , pi n=it " il s=i, a el c m nm < m$ ae y ae - e nm f in s< m $r ed r ed - e fi n s # Et at Fc bo I s xr c a eo k D f in si < sp l (r ed $a a fn to ( )x i) r ed . d - a py fi n sd t , u ci nx $ d # Et at F Mt I fr ai n xr c B ea n om t o f in sn m < u l s( ap yf i ns dt ,f nt o () i ov xn m , o' T 8, u= " ) r ed . ae - ni ts p l( re d$ aa uc in x c n( $a e t= UF 's b " ) ) f in sg ne < s pl (r ed $ aa fn t o( )u ls ( fi . u l x gn e ) " o e e r ed . ed r - a py f in sd t, u ci nx ni ti (s nl ( $e dr ) nn " l f in sl ct o. d < u l s( ap yf in s dt,f nt o () xl ct o$ d ) r ed . oa in i - ni ts p l( re d$ aa uc in x $o a in i) f in sl ct o. a e< u ls (a py fi n sd t , fn t o( ){ f( s n l ( $ oa in r ed . oa in nm - n it s pl (r ed $a a u ci nx i i. ulxl c to$ f in sh mt w. a e< u ls (a py fi n sd t , fn t o( ){ f( s n l ( $ oe on r ed . oe on nm - n it s pl (r ed $a a u ci nx i i. ulxh m tw$
  26. 26. GET FRIENDSHIP MATRIX f in si s< f nt o( { r ed h p - u c in ) pi t" ee ai g fi ns i mt i" rn ( Gn rt n re d hp a rx) N< l nt (r ed .d - e gh fi n si ) fi ns i. ar x < m t i(,, ) re d hp mt i - ar x0N N fr ( i 1N { o i n :) p it ps ei f in sn m[ ] ) r n (a t( ,r ed . ae i) t p< f cb o( pt = at (m /u ul r ed " fi nsi [ ] sp"" , ac s _o e m - a e o k a h p s e " e m t a f i n s , r e d . d i , e =/ ) c es tk m ta fi ns < sp l (m $a a fn to () xi) u u lr ed - a py tp d t, uc i nx $d f in si .a r xi fi ns i %n m ta fi n s < 1 r e dh pm ti [, r ed .d i % u u lr ed ] } #C et c ne to sw t m fi ns r a e o nc i n ih y r ed fi ns cn < c1N re d _o - ( :) fi ns cn ]< 1 re d _o [ #A dt i vc o a a c lm t te fi n si m ti d hs et r s o un o h r ed hp a rx fi ns i. ar x < c i df in si .a r xf in sc n re d hp mt i - bn (r e dh pm ti ,r e d_ o) #A pn m fi n si w t m s l p e d y r ed hp i h ye f fi ns i. ar x < r i df in si .a r xa pn (r e d_ o, ) re d hp mt i - bn (r e dh pm ti ,p e df in sc n 0 ) rw ae (r ed h pm ti )< a pn (r e d. aemn m ) on m sf in si .a r x - pe df in sn m,y ae cl ae (r ed h pm ti )< a pn (r e d. aemn m ) on m sf in si .a r x - pe df in sn m,y ae rt r (r ed hpmt i ) eu n fi ns i.a rx }
  27. 27. FRIEND GRAPH f in ga h< f nt o( r ed hpmt i ) { r ed r p - u c in fi ns i.a rx f i n s i . r p < g a h a j c n y f i n s i . a r x m d = (u d r c e " , w i h e = re d hp ga h - r p.d ae c ( re d hp mt i, o ec"n i et d) e g tdN Vf in si .r p )g ne < a pn (r ed .e d r m s l$ ed r (r e dh pg ah $e d r - p ed fi n sg ne , ye fg ne ) V f i n s i . r p ) l c t o < a p n ( r e d . o a i nn m , m s l $ o a i n n m ) (r e dh pg ah $o a in - pe df i ns lc to . ae y ef lc t o$ ae V f i n s i . r p ) h m t w < a p n ( r e d . o e o nn m , m s l $ o e o n n m ) (r e dh pg ah $o e on - pe df i ns hm tw . ae y ef hm t w$ ae Vf in si .r p )L bl < Vf in si . rp )n m (r e dh pg ah $a e - ( re dh pg ah $ ae rt r ( re dh p ga h eu n fi ns i. rp ) }
  28. 28. DRAW FRIENDSHIP GRAPH f mt i < f in s is ) _ ar x - re dh p( f ga h< f in ga hf m ti) _ rp - r ed r p( _a rx w ie ga hf ga h "r e d. rp m" fr a =g ah l ) r t. r p ( _r p, f in sg a hl ,o mt "r p m"
  29. 29. GRAPH XML FORAMT (GRAPHML)
  30. 30. LESSON 3: SOCIAL NETWORK VISUALIZATION Using Gephi
  31. 31. GEPHI Gephi, an open source graph visualization and manipulation software
  32. 32. MODULARITY Measure of the structure of networks or graphs. It was designed to measure the strength of division of a network into modules Networks with high modularity have dense connections between the nodes within modules but sparse connections between nodes in different modules
  33. 33. LEARN MORE ABOUT GEPHI https://www.udemy.com/gephi/
  34. 34. GET LIKES COUNT OF POSTS r qi ep y) e ur ( lr p ss < f_ on c( ah " ep ss ,a cs _ oe =c es t kn ot o sl s( fe d "" i o t - bc ne t pt =m /o t " ce st kn a cs _o e, p in =i t "i ls =l p s. ie < sp l (o t$ aa f nt o( ) xl ks o tl k s - a py ps s dt , uc in x $i e ) p s. ie .a a< s pl ( ot lk s fn to () x dt ) o tl k sd t - ap yp s. i e, uc i nx $ aa l =l s ( i it ) f r( i 1l nt ( ot lk sd t ){ o i n : eg hp s. i e. aa ) fr ( i 1(e g hp s. ie . aa [])1) o j n :l nt (o t lk sd t [ i]- ){ l < a p n ( i p s . i e . a a [ ] [ j ]n m ) i - p ed l, o tl ks d t[ i] []$a e } } d =d. al ri dd t. r m, l) f oc l( bn . aa fa e i c la e( f < c " ae ) o nm s d) - (n m" d py d, .n m) s ma i e N m us =l nt (a e ) d l( f ( ae , um rz , uS b e g hn m)
  35. 35. CONCLUSION REMARK Interesting Fact Abour Friends Value Behind The Network Statstic Is Worth More Than Thousand of Words
  36. 36. YOUR TURN TO DO SOME ANALYSIS Find Popular Checkins Among Your Friends Common Interest Between Your Friends Female/Male Distribution of Your Know Friends Most Pupular Photos Being Liked Asociation Rule of Friends (Gossip)
  37. 37. THANK YOU

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