Mining Social Media and DBpedia Data Using Gephi and R

Journal Title: Journal of Applied Computer Science & Mathematics - Year 2018, Vol 12, Issue 25


The big data is playing a big role in the field of machine learning and data mining. To extract meaningful and interesting information from big data mining is a challenge. The size of the data at social media and Wikipedia are increasing exponentially. To visualize such huge data is another aspect of big data. The roles of graphs are becoming important in case of visualization and modelling of such data. Gephi and R are two important visualization and exploration tools in this field. Using graph, one may find and calculate modularity, eccentricity, Indegree, Outdegree, betweenness centrality etc. In this paper, we had used Dbpedia, facebook and twitter datasets. We had used Gephi and R to look inside the structure of such data and comparing different statistics based on the graph by exploring the graphs.

Authors and Affiliations



Related Articles

An Attribute Involved Public Key Cryptosystem Based on P-Sylow Subgroups and Randomization

The Asymmetric Key Cryptosystem (AKC) or Public Key Encryption (PKE) is a mechanism used to encrypt the messages by using public key and decrypt the enciphered messages by using private key. Of late, the Attribute-Base...

Novel Crypting Methods Based on Singular Values Decomposition

With the rapid development of multimedia exchanges, it is necessary to dispose secure systems to protect data and ensure the security of transfer. Two encryption schemes are proposed in this letter where the second is ob...

Dynamic Lyapunov Indicator (DLI): A Perfect indicator for Evolutionary System

Recently proposed indicators along with their abilities for identification of chaotic motion have been described. These are Fast Lyapunov Exponents (FLI), Smaller Alignment Indices (SALI) and Dynamic Lyapunov Indicator (...

Removal of Baseline Wander Noise from Electrocardiogram (ECG) using Fifth-order Spline Interpolation

Abstract–Baseline wandering can mask some important features of the Electrocardiogram (ECG) signal hence it is desirable to remove this noise for proper analysis and display of the ECG signal. This paper presents the imp...

Improvement of Gregory’s Formula Using Artificial Bee Colony Algorithm

Solving numerical integration is an important question in scientific calculations and engineering. Gregory’s method is among the very first quadrature formulas ever described in the literature, dating back to James Gregory...

Download PDF file
  • EP ID EP532866
  • DOI 10.4316/JACSM.201801002
  • Views 144
  • Downloads 0

How To Cite

Sadiq HUSSAIN, L. J. MUHAMMAD, Atomsa YAKUBU (2018). Mining Social Media and DBpedia Data Using Gephi and R. Journal of Applied Computer Science & Mathematics, 12(25), 14-20.