Mining Social Media and DBpedia Data Using Gephi and R
Journal Title: Journal of Applied Computer Science & Mathematics - Year 2018, Vol 12, Issue 25
Abstract
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
Sadiq HUSSAIN, L. J. MUHAMMAD, Atomsa YAKUBU
Keywords
Related Articles
- EP ID EP532866
- DOI 10.4316/JACSM.201801002
- Views 195
- Downloads 0
Coefficient Inequalities for Certain Class of Analytic Functions of Complex Order
In this paper, we define the class b L of normalized analytic functions of complex order in the open unit disk, sufficient condition involving coefficient inequalities for () fz to be in the class b L of analytic fun...
IT&C used by Individuals and Economic Development in Romania - Application of Cointegration and Vector Error Correction Model
Since the first decade of the 21st century, information and communication technology has become both a tool for the individual and, in many cases, a way of life. Undoubtedly, the Internet has revolutionized the society i...
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...
Kalman Filters for Estimating the potential GDP
The estimation of the potential GDP has a twofold importance: on one hand its accurate estimation allows the correct dimensioning of the macroeconomic policies and on the other hand, the study of potential GDP is a resea...
APφ(R, C)-Spaces of Almost Periodic Functions
The spaces APφ(R, C), corresponding to functions φ ∈ K = Kamke class, have been defined and a few of their properties have been investigated in our recent paper [1]. The aim of this paper is to present some facts/propert...