A1914109119

Biosociolink: A Decision Support System for Analyzing Link Properties in Biological and Social Networks
Amulyashree Sridhar¹, Sharvani GS², Ramakanth Kumar P³, AH Manjunatha Reddy⁴, Kalyan Nagaraj^5
1Amulyashree Sridhar*, Department of Computer Science & Engineering, RV College of Engineering, Bangalore, Affiliated to Visvesvaraya Technological University, Belagavi, India.
²Sharvani GS, Department of Computer Science & Engineering, RV College of Engineering, Bangalore, Affiliated to Visvesvaraya Technological University, Belagavi, India.
³Ramakanth Kumar P, Department of Computer Science & Engineering, RV College of Engineering, Bangalore, Affiliated to Visvesvaraya Technological University, Belagavi, India.
⁴AH Manjunatha Reddy, Department of Biotechnology, RV College of Engineering, Bangalore, Affiliated to Visvesvaraya Technological University, Belagavi, India.
⁵Kalyan Nagaraj, Department of Computer Science & Engineering, RV College of Engineering, Bangalore, Affiliated to Visvesvaraya Technological University, Belagavi, India.
Manuscript received on September 21, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 6062-6066 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1914109119/2019©BEIESP | DOI: 10.35940/ijeat.A1914.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Network based data representation has received widespread attention over the years. Data is oriented in graph format by aligning information as nodes and edges. Some of the predominant network cases include biological and social sciences. There is a growing need to extract knowledge patterns from network orientations. In such scenario, the current study focuses on extracting data patterns from network data. Schizophrenia gene data and TRAI wireless performance data is identified for performing biological and social network analysis. Biological network analysis is performed to identify relevant gene ties which act as hotspots for identifying disease causing genes. On similar lines, social network analysis is performed on wireless dataset to identify essential telecom operators responsible for customer retention. Based on these outcomes, a decision support system, Bio Socio Link is designed in R programming language to perform biological and social network analysis. The support system accurately detects knowledge patterns from both the datasets. The study is concluded by deploying the support system in local programming environment.
Keywords: Network theory, Biological network, Social network, Decision support system,