Abdul Samad A. Profile

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islamabad,

pakistan

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Datum pridružitve oktober 18, 2016

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Abdul Samad A.

@writetosamadalvi

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islamabad,

pakistan

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Stopnja ponovnega najema

Data Science/ Social Network Analysis/ R Studio

I'm a researcher and developer. I have 2 years of professional experience as a researcher and developer. I have published 5 Research articles during the period of 2017-2020. I have a deep knowledge of R and Excel for performing the analysis. My specialities included: 1) Social network analysis and visualization 2) Link Prediction in Social Network 3) Community Detection 4) Finding Influential Users 5) Data Mining 6 Machine Learning Few of my projects are: 1) Evaluation of features in Social Network 2) Link prediction in Human Contact Graph 3) Link Prediction in Citation Network 4) Semantic and Syntactic similarity comparison 5) Sentimental analysis of Twitter data. Some of my working tools are: 1) R 2) RMarkdown 3) Tableau 4) Latex 5) WEKA Please contact me with any needs, so we can discuss how I can help you.

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Izkušnje

PCN Research Group

feb. 2015 - Trenutno

Here in this research group, I am working on Social Network Analysis. I have got expertise in R. I have published 3 research articles in the field of Social Network Analysis.

ISfot

apr. 2014 - okt. 2014 (6 mesecev, 1 dan)

Worked as a Programmer. I have Developed Desktop Applications using CSharp Tool.

Izobrazba

MS CS

Muhammad Ali Jinnah University,

Pakistan

2017 - 2019

(2 leti)

MCS

Islamia University, Bahawalpur,

Pakistan

2014 - 2017

(3 leta)

Kvalifikacije

ICET2017

2017

I have Got Certificate appreciation for the published research paper.

Publikacije

A Comprehensive survey on Link Prediction in Social network

IEEE

Here, in this paper, I give a complete picture of link prediction techniques. Moreover, their comparisons also given in this paper.

SAM Centrality: a Hop-Based Centrality Measure for Ranking Users in Social Network

IEEE

Social Network Analysis attracting majority of researchers due to the rush of people towards social networks. Finding influential users is becoming a big issue in the network analysis. Many methods have been proposed in this regard. Here, in this paper I have proposed a hop-based Centrality measure to find influential users in the network.

SAM: A Similarity Measure for Link Prediction in Social Network

Institute of Electrical and Electronics Engineers

In this research paper, I have proposed similarity measure for link prediction in the social network. I have compared results with other four similarity measures. Our proposed similarity measures can find similarity by using Asymmetric relation.

Centrality-Based Citation Recommendation

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems

To help researchersin ﬁnding relevant/important papers, we evaluated textual and topological similarity measures for citationrecommendations. This work analyzes textual and topological similarity measures (i.e., Jaccard and Cosine)to evaluate which one performs well in ﬁnding similar papers? To ﬁnd the importance of papers, we computecentrality measures (i.e., Betweeness, Closeness, Degree and PageRank).