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RESEARCH PAPER ON  CORRELATION MaxQDPro Team Anjan.K Harish.R II Sem M.Tech CSE 06/10/09 Research Paper On Corelation
<ul><ul><li>Prerequisites </li></ul></ul><ul><li>Introduction  </li></ul><ul><ul><li>Paper </li></ul></ul><ul><ul><li>Key ...
<ul><li>Data Mining Concepts </li></ul><ul><ul><li>Key Concepts </li></ul></ul><ul><ul><li>Co-relation analysis </li></ul>...
A MACROSCOPIC FOCUS ON THE PAPER  06/10/09 Research Paper On Corelation “YES, THERE IS CORRELATION FROM SOCIAL NETWORKS TO...
INTRODUCTION – PAPER  (1) <ul><li>Authors  –  </li></ul><ul><ul><li>Parag Singla of University of Washington, Seattle, USA...
INTRODUCTION-KEY TERMINOLOGIES (2) <ul><li>Behavioral Sciences </li></ul><ul><ul><li>A study of determining the behavior o...
INTRODUCTION-ABSTRACT (3) <ul><li>Characterizing the relationship that exists between a person’s social group and his/her ...
<ul><li>Given that two people are connected over the Internet, paper answer some of the question of eager curiosity  </li>...
CHARACTERIZING THE SOCIAL NETWORK <ul><li>Search Engines are personalized </li></ul><ul><li>Intelligent Chat like recommen...
SURFING THE PAPER <ul><li>Correlation is made on the basis of the time duration spent by person in the chat conversation. ...
RELATED WORK <ul><li>McPherson etal. give an excellent review of work done on homophily in real-world networks. </li></ul>...
<ul><li>Search similarity and IM talk time extend to the case of whether users click on advertisements as well. </li></ul>...
<ul><li>Users who talk to each other in an IM environment are significantly more likely to share interests than a random p...
<ul><li>[1] A. Abbott, editor.  The American Journal of Sociology, 2006. </li></ul><ul><li>[2] P. Bearman, J. Moody, and K...
PROPAGATE GOOD THING TO OTHER <ul><li>Duty as responsible engineers towards protection of  </li></ul><ul><ul><li>Environme...
THANK YOU 06/10/09 Research Paper On Corelation
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Research Paper On Correlation

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Research Paper On Correlation

  1. 1. RESEARCH PAPER ON CORRELATION MaxQDPro Team Anjan.K Harish.R II Sem M.Tech CSE 06/10/09 Research Paper On Corelation
  2. 2. <ul><ul><li>Prerequisites </li></ul></ul><ul><li>Introduction </li></ul><ul><ul><li>Paper </li></ul></ul><ul><ul><li>Key Terminologies </li></ul></ul><ul><ul><li>Abstract </li></ul></ul><ul><ul><li>Contributions </li></ul></ul><ul><li>Characterizing the Social Network </li></ul><ul><li>Surfing the paper </li></ul><ul><li>Future Work </li></ul><ul><li>Conclusion </li></ul><ul><li>References </li></ul>AGENDA 06/10/09 Research Paper On Corelation
  3. 3. <ul><li>Data Mining Concepts </li></ul><ul><ul><li>Key Concepts </li></ul></ul><ul><ul><li>Co-relation analysis </li></ul></ul><ul><ul><li>Social Networks </li></ul></ul><ul><li>Instant Messaging or any Chat application </li></ul><ul><li>Social and Behavioral Sciences </li></ul><ul><li>Demographics </li></ul><ul><li>Fair Knowledge of issues in Cyber World </li></ul><ul><li>Enough Moral and emotional maturity to understand it. </li></ul>PREREQUISITES 06/10/09 Research Paper On Corelation
  4. 4. A MACROSCOPIC FOCUS ON THE PAPER 06/10/09 Research Paper On Corelation “YES, THERE IS CORRELATION FROM SOCIAL NETWORKS TO PERSONAL BEHAVIOR ON THE WEB”
  5. 5. INTRODUCTION – PAPER (1) <ul><li>Authors – </li></ul><ul><ul><li>Parag Singla of University of Washington, Seattle, USA </li></ul></ul><ul><ul><li>Matthew Richardson, Microsoft R&D, Redmond,USA </li></ul></ul><ul><li>Paper was first presented at International World Wide web Conference Committee(IW3C2) . </li></ul><ul><li>Study and survey started from 2005 and later </li></ul><ul><li>Permission to use the paper to classroom and personal reference use only. </li></ul><ul><li>Key words </li></ul><ul><li>Social and Behavioral Sciences </li></ul><ul><li>Social Networks </li></ul><ul><li>Instant Messaging </li></ul><ul><li>Demographics </li></ul><ul><li>ACM Transaction on Knowledge Discovery Process ,April 2008. </li></ul>06/10/09 Research Paper On Corelation
  6. 6. INTRODUCTION-KEY TERMINOLOGIES (2) <ul><li>Behavioral Sciences </li></ul><ul><ul><li>A study of determining the behavior of a person or people in society </li></ul></ul><ul><li>Social Network </li></ul><ul><ul><li>Social Structure made of nodes that are tied by one or more specific types of interdependency, such as values, visions, ideas, financial exchange, friendship, sexual relationship, kinship </li></ul></ul><ul><ul><li>Social network analysis views social relationship in terms of  nodes  and  ties . </li></ul></ul><ul><li>Demographics </li></ul><ul><ul><li>refers to selected population characteristics as used in government, marketing or opinion research, or the demographic profiles used in such research. </li></ul></ul><ul><ul><li>Commonly-used demographics include race, age, income, disabilities, mobility (in terms of travel time to work or number of vehicles available), educational attainment, home ownership, employment status, and even location. </li></ul></ul><ul><li>The idea that people with similar characteristics tend to be connected is called homophily. </li></ul>06/10/09 Research Paper On Corelation
  7. 7. INTRODUCTION-ABSTRACT (3) <ul><li>Characterizing the relationship that exists between a person’s social group and his/her personal behavior has been a long standing goal of social network analysts. </li></ul><ul><li>In this paper, we apply data mining techniques to study this relationship for a population of over 10 million people, by turning to online sources of data. </li></ul><ul><li>The analysis reveals that people who chat with each other (using instant messaging) are more likely to share interests (their Web searches are the same or topically similar). </li></ul><ul><li>The more time they spend talking, the stronger this relationship is. People who chat with each other are also more likely to share other personal characteristics, such as their age and location (and, they are likely to be of opposite gender). </li></ul><ul><li>Similar findings hold for people who do not necessarily talk to each other but do have a friend in common. </li></ul><ul><li>Our analysis is based on a well-defined mathematical formulation of the problem </li></ul>06/10/09 Research Paper On Corelation
  8. 8. <ul><li>Given that two people are connected over the Internet, paper answer some of the question of eager curiosity </li></ul><ul><ul><li>Are they similar to each other? </li></ul></ul><ul><ul><li>How does their connection affect their personal behavior? </li></ul></ul><ul><ul><li>How does their behavior vary based on the type of connection? </li></ul></ul><ul><li>Its finds its application in detecting Cyber Crime since there is lot of stress Cyber Confidentiality. </li></ul><ul><li>Also helps parents to understand behavior of their wards and to protect them against vulgarity. </li></ul>INTRODUCTION – CONTRIBUTIONS (4) 06/10/09 Research Paper On Corelation
  9. 9. CHARACTERIZING THE SOCIAL NETWORK <ul><li>Search Engines are personalized </li></ul><ul><li>Intelligent Chat like recommending a friend to join a network or use an application </li></ul><ul><li>Analyze the relation between communication and personal behavior, we need two sources of data: (1) Who communicates with whom, and </li></ul><ul><li>(2) The characteristics of each person in the </li></ul><ul><li>communication network. </li></ul><ul><li>Demographic parameters are person’s age, gender and geographical location </li></ul><ul><li>Correlation hold on the metrics used. </li></ul>06/10/09 Research Paper On Corelation
  10. 10. SURFING THE PAPER <ul><li>Correlation is made on the basis of the time duration spent by person in the chat conversation. </li></ul><ul><li>Classification is done by Bayesian Classifier </li></ul><ul><li>Datasets assumed are </li></ul><ul><ul><li>Social Network Data </li></ul></ul><ul><ul><li>Personal Interests Data </li></ul></ul><ul><ul><li>Joining Data </li></ul></ul><ul><li>Experiments </li></ul><ul><ul><li>Computing the similarities </li></ul></ul><ul><ul><li>Establishing the correlation </li></ul></ul><ul><ul><li>Varying talk time. </li></ul></ul><ul><ul><li>Condition on the Personal attribute </li></ul></ul><ul><ul><li>Effects of the Indirect links </li></ul></ul>06/10/09 Research Paper On Corelation
  11. 11. RELATED WORK <ul><li>McPherson etal. give an excellent review of work done on homophily in real-world networks. </li></ul><ul><li>Sproull and Patterson discuss how the participation in online communities might affect the every day lives and behavior of the people in the physical world. </li></ul><ul><li>Handcock and Raftery’s model for social networks incorporates assumptions about transitivity in link structure. </li></ul><ul><li>&quot;Web homophily&quot; can be used to advantage in, for example, finding communities of Web pages and the ranking of Web pages. </li></ul>06/10/09 Research Paper On Corelation
  12. 12. <ul><li>Search similarity and IM talk time extend to the case of whether users click on advertisements as well. </li></ul><ul><li>To build a more predictive model for both. </li></ul><ul><li>Experiment on multi-user chat sessions, see proposed model of correlations is valid. </li></ul><ul><li>Query behavior of the users through time, to discover what types of queries tend to spread through the network, and what other queries do not. </li></ul><ul><li>Finally, examine whether the correlations discovered here are found in other domains, such as online gaming environments and social networking sites </li></ul>FUTURE WORK 06/10/09 Research Paper On Corelation
  13. 13. <ul><li>Users who talk to each other in an IM environment are significantly more likely to share interests than a random pair of users. </li></ul><ul><li>Probabilistic model over users and their attributes and relations. </li></ul><ul><li>The similarity between users strengthens with the amount of time they spend talking to each other. </li></ul><ul><li>First experimental study of its kind and demonstrate significant promise for further research in this area, paving the way for many advances </li></ul>CONCLUSION 06/10/09 Research Paper On Corelation
  14. 14. <ul><li>[1] A. Abbott, editor. The American Journal of Sociology, 2006. </li></ul><ul><li>[2] P. Bearman, J. Moody, and K. Stovel. Chains of affection:the structure of adolescent romantic and sexual networks. American Journal of Sociology, 110:44–91, 2004. </li></ul><ul><li>[3] A. Broder. A taxonomy of web search. In 25th Intl. SIGIR, pages 3–10, 2002. </li></ul><ul><li>[4] S. Chien and N. Immorlica. Semantic similarity betweensearch engine queries using temporal correlation. In 14 th Intl. WWW, pages 2–11, 2005. </li></ul><ul><li>[5] P. Domingos and M. Pazzani. On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning, 29:103–130, 1997. </li></ul>REFERENCES 06/10/09 Research Paper On Corelation
  15. 15. PROPAGATE GOOD THING TO OTHER <ul><li>Duty as responsible engineers towards protection of </li></ul><ul><ul><li>Environment </li></ul></ul><ul><ul><ul><li>“ Ecological Footprint” </li></ul></ul></ul><ul><ul><li>Mother Earth </li></ul></ul><ul><ul><ul><li>Please Visit </li></ul></ul></ul><ul><ul><li> http:// www.lightchannels.com </li></ul></ul><ul><li>Grow or Plant a tree and give it a name they are living being as well. </li></ul>06/10/09 Research Paper On Corelation
  16. 16. THANK YOU 06/10/09 Research Paper On Corelation

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