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eSL - A language for Social Networks

eSL - A language for Social Networks. Team : Fantastic Four Ashwath Narsimhan – Project Manager Jyotsna Sebe – System Architect Shailesh Saroha – System Integrator Yi Wang – Tools Guru & System Tester. Introduction. e asy to use S ocial Network L anguage (eSL)

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eSL - A language for Social Networks

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  1. eSL - A language for Social Networks Team : Fantastic Four Ashwath Narsimhan – Project Manager Jyotsna Sebe – System Architect Shailesh Saroha – System Integrator Yi Wang – Tools Guru & System Tester

  2. Introduction • easy to use Social Network Language (eSL) • It provides easy to understand data structures and iterations that help a user to construct and manipulate a graph built for social networks. • Features:- • Imperative • Interpreted • Query Language

  3. Basic Motivation Constructing and Managing social network graphs. Simple functionalities like querying for commonalities in users can be performed in a few lines of code. Easy to understand and use – small learning curve. Targeted at people with very little programming background and help them interface applications to analyze social networks. Easy to visualize social networks – GUI. Quick results.

  4. Sample Scenario • Question: librarian wants to find all users interested in a particular book world wide. • How do we represent this? • How can we speed things ? • How can eSL help librarian?

  5. Implementation and Samples Graph - primitive data type, represents a particular social network. Member – primitive data type, represents a user (node) in that social network. peer1.friends represents friends of a member called peer1. Query - primitive data type, that helps in retrieving nodes that share commonalities. Input – input is an XML file containing the members in a network. Output – a window showing node attributes and connection. Also supports adding new attributes and members to the graph.

  6. Sample1.esl Create a Social Network main() { /* Create new Graph, storing it in XML file */ Graph g = "socialnetwork.xml"; /* Declare four members */ Member m1<"Yi",“Wang"> , m2<"Jyotsna",“Sebe"> , m3<"Ashwath",“Narsimhan"> , m4 <"Shailesh",“Saroha">; /* add information for the members */ m1.info add <"location","NY">,<"Major","cs">,<"country","China">,<"hobby","music">; m2.info add <"location","NY">,<"Major","cs">,<"country","India">,<"hobby","reading">; m3.info add <"location","NY">,<"Major","cs">,<"country","India">,<"hobby","painting">; m4.info add <"location","NY">,<"Major","cs">,<"country","India">,<"hobby","game">; /* Add memebers to graph */ g add m1 , m2 , m3 , m4; /* Visualize the graph */ display(g); }

  7. Sample2.esl Establish Friendship main() { /* Read from the existing graph stored in XML file */ Graph g = "socialnetwork.xml"; Member m1<"Yi","Wang"> , m2<"Jyotsna","Sebe"> , m3<"Ashwath","Narsimhan"> , m4 <"Shailesh","Saroha">; /* Connect the nodes */ m1.friends add m2, m3, m4; m2.friends add m1, m3 ,m4; m3.friends add m1, m2, m4; m4.friends add m1, m2, m3; g update m1 , m2, m3 , m4; /* Visualize the graph */ display(g); display(m1); }

  8. Sample3.esl Query main() { Graph g = “MyGraph.xml”; Query q = <“location”,”ny”> &&(<“favbooks”,”Shakesphere”> ||<“major”,”literature”> ); Member [] members = search(g,q); display(members); }

  9. eSL Architecture ANTLR LEXER/PARSER/WALKER CUSTOM JAVA CLASSES INTERPRETER Esl Source Program File (*.esl) OUTPUT

  10. Test Plan White box Testing – Each developer responsible. Integration Testing – System Integrator. System Testing – System Architect. Testing Tool - TestNG

  11. Tools & Environment Tools SVN – configuration management Eclipse – Eclipse version 3.4 (Java) - SDK ANTLR – 2.7.6 – Lexer, Parser, Tree-Walker Google docs – Documentation and recording results Libraries Jgraph – Visualization of the graphs. TestNG – Writing test cases Java Swings - Display

  12. Lessons Learnt Database backend, difficult to interface. Improved Debugging skills Explored boost graph libraries- couldn’t use them for social networks. Compiler approach was time consuming- > backtracked and decided to use an interpreter instead. Incremental Approach – the best!!

  13. Conclusion • User friendly • Good visualization • Free of cost  Future Work • Parallelism • Communities

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