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Yongqiang Sun, Dina Liu and Nan Wang

1 Introduction With the rapid development of Web 2.0 technologies, social network services (SNSs) have become increasingly popular in the past few years. SNS refers to a web-based platform that allows individuals to “construct a public or semi-public profile within a bounded system; articulate a list of other users with whom they share a connection; and view and traverse their list of connections and those made by others within the system” ( Boyd & Ellison, 2007 , p. 211). As a convenient way to develop and maintain interpersonal relationships without the

Open access

Dar-Zen Chen and Chien-Hsiang Chou

prosperity and decline of dominators does not cease. Understanding such an evolving history and what has changed can lead to a clearer comprehension of innovation development and the possession of a major competitive advantage. Sensing the need for tracing technology evolvement, a novel method for detecting the evolving trends is proposed in this study. Time series analysis and social network analysis (SNA) are combined with patentometrics to uncover the hidden structure of transition, which can be gained from observing the dynamics of dominators and communities. The

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Yiming Zhao, Baitong Chen, Jin Zhang, Ying Ding, Jin Mao and Lihong Zhou

well as to receive emotional support ( Greene, Choudhry, Kilabuk, & Shrank, 2011 ). The sources of raw data for similar investigations vary, from blogs and Facebook, to mobile diabetes applications. Currently, there are generally two research approaches to study diabetes-related terms on social network websites. One is to generate a list of terms based on the analysis of diabetics’ discourses posted on social network websites. For instance, Akay, Dragomir, and Erlandsson (2013) analyze social network websites numerically to gauge diabetics’ experiences in using

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Amassoma Ditimi, Keji Sunday and Onyedikachi O. Emma-Ebere

) “Structural Determinants of Inflation in Nigeria (1981-1990),” An Unpublished M.Sc. Thesis, Department of Economics, Ahmadu Bello University, Zaria, 2000. Iyabode Masha, New Perspectives on Inflation in Nigeria in Central Bank of Nigeria, CBN Economic and Financial Review, 38 (2), (June, 2000). Koyuncu F. T. (2014); “Causality Network between Budget Deficit, Money Supply and Inflation: An Application to Turkey”; International Journal of Business and Social Science Vol. 5, No. 10(1); Center for Promoting Ideas, USA. Lahiri, A.K. “Money and Inflation in

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Lu An, Xingyue Yi, Yuxin Han and Gang Li

will forward a microblog entry. The attributes of the forwarding behavior consist of forwarding quantity, forwarding time, and forwarding intention according to the research purpose ( Palovics, Daroczy, & Benczur, 2013 ). Researchers predict microblog forwarding behavior through a variety of algorithms and models, including the factor graph model ( Yang, Guo, Cai, Tang, Li, Zhang, & Su, 2010 ), social network analysis and content analysis ( Kim, Hou, Han, & Himelboim, 2016 ), the classification method ( Hong, Dan, & Davison, 2011 ), the probabilistic collaborative

Open access

Rabeb Kammoun

and ownership structures. Transportation Research Part A. 36(8), 743–762. DOI: 10.1016/S0965-8564(01)00035-0. [16] Cullinane, K. P. B. & Song, D. W. (2003). A stochastic frontier model of the productive efficiency of korean container terminals. Journal of Economics and Business. 35 (3), 433-462. DOI: 10.1080/00036840210139355. [17] Cullinane, K. P. B., Song, D.W., Ping, J. & Wang, T.F. (2004). An Application of DEA Windows Analysis to Container Port Production Efficiency. Review of Network Economics. 3 (2), 184-206. DOI: 10.2202/1446-9022.1050. [18

Open access

Gunnar Sivertsen

internationalization of the social sciences in China. In Europe, I have experienced the same increasing interest as co-initiator and member of the European Network for Research Evaluation in the SSH (ENRESSH). This network is funded by the European Commission as a COST action (European Cooperation in Science and Technology) and has 127 participants from 37 countries. The aims of the network are to promote a better understanding of how the SSH generate knowledge and contribute to society and to develop appropriate research evaluation methods for these areas of research. Since the

Open access

Yi Shen

-developing field, robust data repository systems and rigorous database functionalities are vastly needed. Previous research of a decade ago has studied the processes that led to the creation, analysis, and publishing of ecological sensing data (e.g. Wallis et al., 2008 ). With the goals of developing “digital curation infrastructure” and identifying requirements for “data digital libraries”, these studies investigated habitat ecologists’ and other environmental scientists’ data practices associated with embedded sensor networks ( Borgman et al., 2006 ; Borgman et al., 2007a

Open access

Juyoung An, Sieun Jeon, Teryn Jones and Min Song

in impacting intellectual influences laid out in acknowledgments. Lastly, we used PubMed Central to download full-text records in the XML form, (1,565,733 full-text records) and extracted the acknowledgment sections. The rest of the paper is organized as follows: in Section 2 , we discuss some related works and some of their limitations; in Section 3 , we discuss our three methods of analysis: DRM, network, and word2vector; we move on to Section 4 where we discuss the results of the three methods mentioned in Section 3 ; and conclude with the discussion and