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You Are What You Tag

Explore the semantic relationship between tags to create a comprehensive profile analysis in social media contexts. Understand tag importance and relevance, visualization tools, and the impact of tagging on personal and global perspectives.

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You Are What You Tag

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  1. You Are What You Tag Yi-Ching (Janet) Huang Chia-Chuan (Evelyn) Hung Jane Yung-jen Hsu From National Taiwan University 2008/03/26

  2. Tagging-based profile Objective profile Semantic relationship between tags Outline

  3. Social Media Website

  4. blogs musics bookmarks movies maps photos shrek MRT lord of rings ntu opera jazz classical java rock ai xml school ocean life travel food nightmarket cat

  5. Things I have reflect what I know, and what I am interested in Social Media -> Profile Japan drama Cats musical Visualization tools social networks graph social networks Visualization networks comic Japan Namie

  6. Content vs. Tag Analysis

  7. You Are What You Tag programming coffee music movie cat musical comic ajax Japan rabbit java SFO Taiwan dance xml jazz map travel JavaScript R&B

  8. Social Bookmarking Data My bookmarks My friends’ bookmarks cats ajax musical xml rdf dance java comic music movie coffee star

  9. Tripartite Graph 0.3 0.57 0.46 routing Japan 0.84 0.24 0.63 travel java …… tagged on … … own

  10. Weighted Tag Profile Obtain a set of tags ordered by its weight to represent this person Tag weight The average tag importance (over document) routing Japan travel java …… tagged on own … …

  11. Tag Capability How much a tag can represent this document Tagging order The first tag is the most relevant Tagging popularity How many people also tag this document with this tag routing Japan travel java …… tagged on … … own

  12. map guide R&B jazz pop Japan Taiwan animal travel java rdf xml kitty cats rss javaScript dance objective musical objective subjective

  13. Tags from Other People For any document in my collection, it may be tagged by other people map Japan map travel Japan Japan

  14. Objective Profiling 0.13 0.28 0.43 travel routing Japan 0.92 0.35 0.57 map java …… rdf javaScript

  15. Different Viewpoints movie musical Japan cats comic programming travel Japan dance rdf Taiwan map movie Thailand travel Japan jazz R&B musical comic cats jazz ajax cats visualization java R&B love theme rdf dance Taiwan dance java map java xml JavaScript JavaScript musical pop personal social global subjective objective

  16. Profile from Three Views personal view Others say I am… ? social view global view

  17. Are They Alike?

  18. Pre-processing image flash photo color design flex tagging art javascript research ajax social reinforcement

  19. Relationship between Tags icon image flash photo color graph paint flex tagging art javascript research design ajax

  20. Tag-based Co-occurrence Assumption: the more frequent two tags co-occur on the same documents, the more relevant two tags are A B

  21. Tag Semantic Relationship icon image photo color graph paint art design 1/5 = 0.25

  22. Tag Concept icon image concept image flash photo color graph paint flex tagging art javascript research design ajax Semantic relation (WordNet) Semantic relation (ConceptNet)

  23. Concept-based Co-occurrence icon image concept image flash photo color graph paint flex tagging 3/8 = 0.375 art javascript research art concept design ajax

  24. Profile with Semantic Relationship personal view Others say I am… ? social view global view

  25. Experiment of Data A user’s bookmark collection (from del.icio.us) 351 bookmark items 148 distinct tags 160,000 users bookmarked one of these items Visual tool Vizster (Heer 2005)

  26. Result of Tag Relationship

  27. Tagging-based profile Profile a person from tags Profile from different views personal, social, global Tag semantic relationship More complete profile Conclusion

  28. Thanks for your attention 

  29. 1 2 3 4

  30. Tagging Analysis 0.3 0.57 0.46 routing Japan 0.84 0.24 travel java …… tagged on Tag vs. Person Tag vs. Content … … own

  31. Results of Three Viewpoints My docs

  32. Procedure of semantic relationship analysis

  33. Relationship between tags can Reflect how I think The structure of my knowledge Japan cats cats musical travel travel Taiwan Japan Taiwan musical Relationship between tags

  34. All Aspects Are You Japan cats map jazz Japan map JavaScript musical R&B travel Japan rdf java movie Thailand pop Japan R&B musical comic cats rdf jazz dance ajax cats visualization java love theme dance Taiwan dance map java xml JavaScript JavaScript musical pop subjective profile objective profile

  35. You Are What You Tag

  36. art design ? visual Easy to miss tag ?

  37. design art layout web color visual tutorial Easy to miss tags ? ……….. ……….. ……….. ……….. ? ?

  38. Social reinforcement image flash photo color design flex tagging art javascript research ajax social reinforcement

  39. Tag relative co-occurrence

  40. How people think…

  41. Tag relationship Concept-based relative co-occurrence Social reinforcement More complete profile Conclusion

  42. A Tripartite Graph (Mika, 2005) T = A × C × I A: actors C: concepts I: instances H(T)=(V, E) V = A∪C∪I E = { { a,c,i } | (a,c,i) belongs to T } Evelyn Joe URL_6 … … java URL_5 … … travel … … URL_8 Peter Janet comic Data Modeling

  43. A Tuple of Data 2006/10/10 java, programming, research tagged on Evelyn http://xxxx.com … … own

  44. Give each tag a weight as its importance Tags vs. Contents The capability of a tag for representing the content. Tags vs. Profile The strength of a tag for representing a person Tags vs. Profile vs. Time The changes of the tags over time Tag Analysis

  45. Tags vs. Contents y=exp(x) 0.75 0.65 0.80 0. 54 0.61 0. 62 0.80 programming 0.69 java research 0.9 0.74 0.83 0.67 0.33 0.67 0. 75 0.91 2.2 0.79 1.16 0. 54 3.8 0.79 http://xxxx.com … …

  46. Tags vs. Profile 0.52 0.43 URL_6 URL_5 … … … … 0.79 0.95 3.5 4.0 URL_2 … … URL_3 … … programming 0.78 3.8 0.7 0.6 URL_4 … … 0.67 2.7 3.54 java research URL_1 … … 0.89 Evelyn 1.1 6.52 2.44 URL_9 … … 0.4 1.9 … … URL_7 … … 0.83 URL_8 0.9

  47. Tag vs. Content Tag vs. Person (Personal) Tag vs. Person (Social) Equations

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