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Uncovering the differences in linguistic network dynamics of book and social media texts

Complex network studies span a large variety of applications including linguistic networks. To investigate the differences in book and social media texts in terms of linguistic typology, we constructed both sequential and sentence collocation networks of book, Facebook and Twitter texts with undirected and weighted edges. The comparisons are performed using the basic parameters like average degree, modularity, average clustering coefficient, average path length, diameter, average link weight etc. We also presented the distribution graphs for node degrees, edge weights and maximum degree differences of the pairing nodes. The degree difference occurrences are furtherly detailed with the grayscale percentile plots with respect to the edge weights. We linked the network analysis with linguistic aspects like word and sentence length distributions. We concluded that linguistic typology demonstrates a formal usage in book that slightly deviates to informal in Twitter. Facebook interpolates between these media by the means of network parameters, while the informality of Twitter is mostly influenced by the character limitations.

A multilayer network analysis of hashtags in twitter via co-occurrence and semantic links

Complex network studies, as an interdisciplinary framework, span a large variety of subjects including social media. In social networks, several mechanisms generate miscellaneous structures like friendship networks, mention networks, tag networks, etc. Focusing on tag networks (namely, hashtags in twitter), we made a two-layer analysis of tag networks from a massive dataset of Twitter entries. The first layer is constructed by converting the co-occurrences of these tags in a single entry (tweet) into links, while the second layer is constructed converting the semantic relations of the tags into links. We observed that the universal properties of the real networks like small-world property, clustering and power-law distributions in various network parameters are also evident in the multilayer network of hashtags. Moreover, we outlined that co-occurrences of hashtags in tweets are mostly coupled with semantic relations, whereas a small number of semantically unrelated, therefore random links reduce node separation and network diameter in the co-occurrence network layer. Together with the degree distributions, the power-law consistencies of degree difference, edge weight and cosine similarity distributions in both layers are also appealing forms of Zipf’s law evident in nature.

The Analysis of Renewable Energy Researches in Turkey

The rapid consumption of limited conventional energy resources mobilizes many countries in the world against global energy crisis. As well as the energy crisis, the environmental pollution caused by existing energy sources also encourages the researchers to study in new energy technologies and also renewable energy resources. From this point of view, it is important for each country to identify its wind, solar, geothermal, biomass, hydro and other renewable energy potentials. Considering this urgent energy requirement, the researches and especially the academic studies have been increased on renewable energy resources to meet the energy demand by means of indigenous resources in each country. Consequently, the main purpose of this study is to analyze the academic studies in Turkey to find out the increment rate of researches, their publication years and the more focusing branch on renewable energy by illustrating the statistical distribution of these data. Automated Data Retrieval Methods have been employed to achieve data from Web of Science database and statistical analyses have been made by SQL server management studio program. The academic studies in all variety of renewable energy areas have a tendency to increase which indicates the importance ratio of renewable energy in Turkey.

Solar radiation exergy and enviroeconomic analysis for Turkey

The knowledge of useful solar energy amount is important for designing solar energy systems. In this study, solar radiation exergy (SRE) values are calculated for the 81 cities in Turkey. The data are obtained from the General Directorate of Renewable Energy and the General Directorate of Meteorology. The approaches of Petela, Spanner and Jeter are used to calculate the exergy-to-energy ratios for determining the maximum utilisable solar radiation energy. The exergy-to-energy ratios, the SRE values, the locations having the highest solar exergy potential and the monthly, seasonal and annual total SRE maps are presented for Turkey. Finally, enviroeconomic analysis is performed and its results are presented. The available results are visualised via maps with colourbars.