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I specialize in guiding educational entities through AI integration, insightful data analysis, and impactful social media strategies.

Research Network

Researcher’s Network Development Project Overview

Project Objective: Create a functional researcher’s social network, emphasizing profile management, data organization, and network analysis.

Key Components:

  • Profile Management System: Developed a class to represent individual researcher profiles, encompassing essential details like name, date of birth, email, work experiences, and research interests.
  • Data Structuring with BST: Implemented a Binary Search Tree (BST), organizing researcher profiles for efficient access and management. This included creating and managing nodes within the tree.
  • Efficient Data Retrieval: Developed a class to systematically manage researcher profiles.
  • File Reading and Integration: Created a FileReader for seamless profile data import from text files.
  • Alphabetical Sorting Mechanism: Engineered a method for alphabetically sorting profiles, improving network navigation.
  • Graph-Based Networking: Constructed a Graph structure, simulating complex social interactions between researchers.
  • Innovative Follower Recommendation: Introduced a recommendation system based on triadic closure within the Graph structure.

Outcome: The project successfully merged object-oriented programming, data structures, and algorithms to form a practical tool for academic networking.

Explore More: Visit the project repository on GitHub for detailed insights: Researcher’s Network on GitHub