Sürdürülebilir Kalkınma Amaçları

• 1

Yazarlar

• Alatas, Bilal(1)
• Burhan, Yucel(1)
• Can, Umit(1)
• Das, Resul(1)

• MakaleAçık Erişim2017/r/munzur/4919
  Co-Author Link Prediction from Academic Databases

  Burhan, Yucel; Das, Resul

  Social networks: social communication platforms where individuals exhibit their attitudes and behaviors, gestures and mimics in symbolic actions in a virtual environment. Their swift development and wide usage proportion rises social networks' necessity and popularity. People communicate with each other and share some data like idea, thinking, photo, video and location. When this data is processed, very important information is obtained about the users. In this light, it is possible to make important estimates about the users. To analyze a network, the network model, properties of graph structure, criteria and metrics must be calculated first. In this study, similarity calculation between the subjects which authors studied has been done. In this application, five suitable models (Jaccard Index, Sorensen Index, Common Neighbor, L. H. Newman Index and Salton Index methods) are applied to the data set generated by randomly selected twenty writers. In order to evaluate the calculation results; the results of the similarity calculation between authors with known linkages are used as reference values. Comparisons of obtained similarity values with reference values result in new connections. These links reveal that authors can publish articles together.

  AtıfWoS1·OpenAlex5

  İncele
• MakaleAçık Erişim2017Scopus SJRQ2/r/munzur/3859
  Big social network data and sustainable economic development

  Can, Umit; Alatas, Bilal

  New information technologies have led to the rapid and effective growth of social networks. The amount of data produced by social networks has increased the value of the big data concept, which is one of the popular current phenomena. The immediate or unpredictable effects of a wide array of economic activities on large masses and the reactions to them can be measured by using social media platforms and big data methods. Thus, it would be extremely beneficial to analyze the harmful environmental and social impacts that are caused by unsustainable business applications. As social networks and big data are popular realms currently, their efficient use would be an important factor in sustainable economic development. Accurate analysis of people's consumption habits and economic tendencies would provide significant advantages to companies. Moreover, unknown consumption factors that affect the economic preferences of individuals can be discovered and economic efficiency can be increased. This study shows that the numerous solution opportunities that are provided by social networks and big data have become significant tools in dynamic policy creation by companies and states, in solving problems related to women's rights, the environment, and health.

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  AtıfScopus42·WoS34·OpenAlex50

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