I will do community detection in social network analysis

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I'm a Ph.D. student in the field of social network analysis with 5years of experience. I've worked on a verity of topics like Community Detection, Centrality Measures, Link Prediction, Motifs identification, Community Detection, Team formation, Shortest Path, Influential Nodes, Network Visualization, Power Law distribution, Degree Distribution, Network Sampling, Random Graphs, Weakly and Strongly Connected Components, Local and Global Features, etc. Besides, worked on directed, undirected, weighted networks. Along with this, I've expertise in a variety of tools for SNA like R, Igraph, networkx, gephi, NetMiner, UCINET, Pajek, Python, etc. Besides,

I can Use

• Network Level Measures (diameter, density, clustering coefficient, Betweenness, Closeness, structural properties, Triangles, shortest path, )
• Node Level Measures (Degree, hop, neighbors, nodes, edges)
• Social Network Analysis and Visualization

Wy Me?

• Published more than 8 research articles in the field of social network analysis
• Proposed a new centrality measures namely "SAM Centrality"
• Proposed a new similarity measures namely "SAM Similarity"

What we are waiting for?

Let's work