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Instance Based Social Network Representation Instance Based Social Network Representation

Instance Based Social Network Representation - PowerPoint Presentation

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Instance Based Social Network Representation - PPT Presentation

Yoav Artzi Amit Levy CSE 510 HCI Spring 2010 Project final presentation Instance Based Network Representation Community detection Representing instances detection Graph representation This may or may not really happened ID: 319348

privacy network experiment representation network privacy representation experiment data social question facebook user communicate variables approach learned evaluate user

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Slide1

Instance Based Social Network Representation

Yoav ArtziAmit Levy

CSE 510: HCI

Spring 2010

Project final presentationSlide2

Instance Based Network Representation

Community detection

Representing instances detection

Graph representationSlide3

*This may or may not really happenedSlide4

My CTO? Oh, maybe I shouldn’t post it yet.

*This may or may not really happenedSlide5

Challenges

How to answer the central question?Too many dimensionsRespect people’s

privacy

Only a few chances to get it rightSlide6

Approach

Ask user to associate individuals with clustersAnswering a higher level question

How do users intuitively

perceive their

network?

Evaluate if algorithm captures user’s perception of their social networkSlide7

Our Experiment

3 question types

Composed using the user’s Facebook network

User gets 10 questions of a single typeSlide8

Our ExperimentSlide9

Our ExperimentSlide10

Our ExperimentSlide11

Results

11

10

10

10

10

10

10

10

10

7

7

8Slide12

Results

43

42

43Slide13

Limitations

Selection biasCould not cover all variables

Representation algorithms left out

Binary use of affiliation and location

Limited data for analysis

For example, no friend count, only mutual friends, interactions,

etcSlide14

What We Learned

Quiz-like possibilities for privacy configurationPrivacy matters and forgotten

“… scary, it brought up photos of friends that are accidently in my Facebook… Is that the goal? To show that half of them are not really connected to you?”

“… it was really fun for me, this little game… “ Slide15

What We Learned

People are worried about privacy on FacebookThey need to see who has access to their dataAlgorithmic approaches might help communicate privacySlide16

Future Work

More of the same (gather more data)Explore more personal variables

Relating success to network properties

Size, path lengths, clustering co-efficient

Use

our

approach to communicate privacy in FacebookEvaluate “in the wild”

Explore other uses of social network clusteringHelp create groups for privacy settings