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A Four-Pronged Approach to Study Comments on SlideShare


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We use a four-pronged approach to analyze comments on the previous presentation "Comments on SlideShare: Their Mapping and Value-Added". The approaches are: 1- Timeline flow of comments 2) Clustering of comments 3) Social network analysis of commentators and 4) The spiral growth of comments' structure. Initial comments and their value have a big effect on subsequent comments and activities.

Published in: Business
  • Hello Mr. Dmitriy,

    You bring about two useful points that warrant further discussion:

    Point 1 Data mining of descriptive social data- I am happy you bring this point. One objective I had in mind when I published this presentation is to alert readers that there are affordable and easy-to-use software such as neuroxl that fulfill these needs
    Point 2 Cluster analyses and its growing importance- As if you read my mind as currently I am working on a new series of presentations entitled 'who is'? For example, who is creative? Who is a leader? Who is talented? Cluster analysis is the backbone of these series of presentations.

    Finally, I want to thank you for the great links you provided
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  • Hello Dr. Anani

    Considering the fact, that social media today is truly vast field of research, you provided a good example of how the vital information can be extracted out of such a common thing as comments with help of different approaches.
    In particular, interesting application of cluster analysis for categorizing comments and revealing dependencies between them. Recent social specialist’s publications show that it is a quickly developing and promising method for social media data mining:

    Looking forward to see your new presentations dedicated to social relations exploration.
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  • Hello Richard,
    I forgot to add a comment on your statement, and I quote 'Assessing and representing ’quality’ is a bit trickier though... You have definitely given us a bit to think about, regarding how to establish an aggregate score for comments (based on number and quality)”. If you would check slide 8 you would find the weights of clusters, which might help you in your future endeavors.
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  • Bas,

    I totally agree and be ready for the next presentation. We benefited a lot from Richard's response and that has opened new venues of thinking.
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  • Hi all,

    Thanks for the great and insightful responses. Highly appreciated.

    I agree that the determination of 'value' or 'impact' or 'quality' of a comment can be highly subjective. 'Impact' is established after the fact in retrospect. The 'value' is based upon the impact the comment has on the evolution of the original content/concept/idea (meme if you want). It is reasoned from the perspective of the original author.

    This requires more thinking and writing :)
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A Four-Pronged Approach to Study Comments on SlideShare

  1. 1. Comments in SlideShare: A Four-Pronged Study of Their Impact<br />Ali Anani and Bas de Baar<br />
  2. 2. Before<br />A previous publication on “Comments on SlideShare: Their Impact and Value-Added” triggered more comments. The richness of comments triggered the publication of their detailed analysis using a four-pronged approach.<br />
  3. 3. Techniques and Tools<br />
  4. 4. Analysis of Comments<br />Twenty comments were recorded over a ten days time span. These comments were recorded. A summary of these comments in their chronological order is shown in the next slide<br />
  5. 5. Summary of Twenty Comments<br />
  6. 6. Classification of Comments<br />We used NeuroXL Classifier software to analyze comments and classify them in four clusters. Since the previous publication on comments on SlideShare used a quadrant, we opted to classify comments into four clusters to standardize the approach.<br />
  7. 7. Four Clusters of Comments<br />To be able to classify comments into four clusters we had first to turn the twenty judgmental comments into values.<br />We did this by assigning the following values:<br />High 8 and above<br />Medium >6 and <8<br />Low <5<br />The results are shown in the next slide<br />
  8. 8. Clusters of Comments<br />
  9. 9. Clusters 1 and 2<br />Clusters 1 and 2 share the starting value of low-impacting comments. However; the two clusters have opposite paths. When one cluster is low the other cluster is high.<br />Initial comments with low impacting value mostly end up having low or very moderate outcomes.<br />
  10. 10. Clusters 3 and 4<br />Clusters 3 and 4 share having a high-impacting value at their initiation. They both end up having high impact on commentators.<br />Initial high-value comments may lead to building new relations, generating new publications and opening new social structures. As we have a case in which the initial comment carried weight we decided to follow its impact over a ten-days period.<br />
  11. 11. Analysis of Relation Build-up<br />The comments and responses to them created new relationships among commentators. The next slide shows the resulting network structure. The darkness of the connecting lines is directly proportional to the strength of relationships among commentators. Faint lines indicate weak ties.<br />
  12. 12. Social Network Structure among Commentators.<br />
  13. 13. Statistics of Social Network Structure<br />We used NodeXL software to analyze the emerging structure. The next few slides highlight the important statistics for those readers who might be interested.<br />
  14. 14. General Statistics<br />
  15. 15. More Statistics on the Resulting SNA<br />
  16. 16. The Spiral Structure of Comments<br />We used Goalscape software to study the spiral build-up of comments. Comments grow naturally and may have a spiral-like structure.<br />
  17. 17. Initial Structure<br />The main goal (highlighted in yellow) is surrounded by three daughter goals.<br />
  18. 18. Explanation of the Initial Structure<br />George Sciberras (xiby) made the first comment. Xiby emphasized the need for balanced feedback of comments. This comment invited for many more comments, <br />Starting with a “diamond” comment may bring more valuable comments, or may stop later commentators from making comments for fear they would not match the first one. It is a two-edged sword.<br />
  19. 19. Role of Subsequent Commets<br />Anani drew attention to the harmful side effects of some comments<br />Xiby highlighted the need to encourage new authors, and especially those who do not master the English language<br />Anani concurred with xiby that tired minds nee light presentations <br />
  20. 20. Outcome of Comments<br />Prabakar supported Sheereen’s idea that collective minds work better that a single mind. Comments are the work of mind network<br />These comments spurred Anani to write this presentation with Bas de Baar<br />
  21. 21. Subgoals of Daughter Goals- Building the Spiral Structure<br />
  22. 22. Good Comments Invite for More<br />Prabakar advanced the idea of three dimensional evaluation of ideas<br />Anani welcomed the idea, but showed concern that not all people are happy with three dimensional analysis<br />Juao Maya decided to reevaluate his presentations prior to their publication<br />projectShrink and three other sites embedded the presentation<br />
  23. 23. Deferred Outcomes<br />Anani and Prabakar decided to publish a joint presentation for SlidsShare<br />Anani and bas de Baar will work together to expand the use of spiral structures<br />
  24. 24. Third Level of the Spiral Structure<br />
  25. 25. The Momentum of Comments Is Rising<br />These comments reflected increased intensions for working together and reinforcing the social network structure of the participating commentators<br />
  26. 26. Conclusion<br />