Using network science to understand the link between subjects and professions

Haneef, Farah; Abbasi, Rabeeh Ayaz; Sindhu, Muddassar Azam; Khattak, Akmal Saeed; Noor, Muhammad Nouman; Aljohani, Naif Radi; Daud, Ali; Arafat, Sachi

doi:10.1016/j.chb.2019.106228

Cited by 8 publications

(3 citation statements)

References 32 publications

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“…In the construction of the co-subject network, by contrast, a co-subject relationship was established if two subject categories co-occur in the same article. Subject categories in WoS have been used to measure the degree of interdisciplinarity in multiple areas of research (Haneef et al, 2020; Hu & Zhang, 2017; Karlovčec & Mladenić, 2015). Subject areas linked to each journal and their co-occurrence in articles make the basis of analysis for the co-subject network.…”

Section: Methodsmentioning

confidence: 99%

Less Fragmented but Highly Centralized: A Bibliometric Analysis of Research in Computational Social Science

Wang

Song

2022

Social Science Computer Review

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Since its inception, computational social science (CSS) has been characterized as an interdisciplinary field. Nevertheless, unlike a mature interdisciplinary field that duly integrates knowledge beyond disciplinary boundaries, CSS has arguably been fragmented into multiple lines of inquiry. Although such fragmentation has been a constant concern, limited empirical evidence exists to substantiate any degree of integration in research on CSS. To systematically map the landscape of research on CSS, we examined the dynamic topology of the bibliometric network of CSS during the past 20 years. By comparing the structure of the coupling network and the co-subject network with three prototypical network models that we simulated—the centralized model, the fragmented model, and the cohesive model—our analysis revealed that the citation networks of research on CSS are highly centralized but less fragmented than often assumed. Beyond that, a driving factor shaping the coupling network’s cohesive structure is the citation to high-impact articles. Those and other findings contribute to current understandings of the process of integration in the evolution of disciplines.

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Section: Methodsmentioning

confidence: 99%

Less Fragmented but Highly Centralized: A Bibliometric Analysis of Research in Computational Social Science

Wang

Song

2022

Social Science Computer Review

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“…Network science has many applications like in: community detection [22][23], influence propagation [24][25], event detection [26]- [29], user characterization [30], [31], education [32][3], linguistics [33], sentiment analysis [34], [35], analyzing money laundering [36], software engineering [37], altmetrics [38]- [40], archeology [41], disaster management [42], tourism [43], socio-economics [4], and advertising [44].…”

Section: Related Workmentioning

confidence: 99%

Analyzing Public Discussions About #SaudiWomenCanDrive Using Network Science

et al. 2022

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“…Bahasa Inggris merupakan mata pelajaran dasar yang berkaitan dengan sebagian besar profesi (Haneef et al, 2019). Bahasa Inggris dapat ditemukan pada pendidikan formal, namun peserta didik sering mengalami kesulitan dalam berkomunikasi dengan Bahasa Inggris karena pendidikan formal tidak mengajarkan speaking secara memadai (Cynthia & Cahyana, 2014).…”

Section: Pendahuluanunclassified

Pengaruh Self-Efficacy Dan Kemampuan Bahasa Inggris Terhadap Aspirasi Karir Bidang Akuntansi

Umatin

Andayani

2022

JPAI

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Bidang akuntansi merupakan salah satu bidang pekerjaan yang menarik. Hal ini karena bidang akuntansi merupakan bidang yang berorientasi pada detail. Pada umumnya, pekerjaan akuntan terkenal dengan keterampilannya dalam hal menulis laporan keuangan. Namun, mengingat kebutuhan dunia kerja yang semakin kompleks, keterampilan interpersonal dan komunikasi menjadi penting untuk dikembangkan dalam menghadapi persaingan di dunia kerja. Hal ini membuat lulusan akuntansi harus mempunyai keterampilan yang unggul untuk dapat bersaing dengan lulusan lainnya. Proses pemilihan atau pengambilan keputusan karir seseorang di bidang akuntansi melibatkan banyak hal. Oleh karena itu, penelitian ini bertujuan mengkaji pengaruh Self-efficacy dan kemampuan Bahasa Inggris terhadap aspirasi karir bidang akuntansi mahasiswa Universitas Negeri Malang. Sampel penelitian ini adalah 167 mahasiswa tingkat akhir Jurusan Akuntansi Universitas Negeri Malang dengan metode Proportional stratified random sampling. Selanjutnya, data diolah menggunakan analisis regresi linear berganda. Hasil penelitian ini menunjukkan Self-efficacy dan kemampuan Bahasa Inggris berpengaruh positif signifikan terhadap aspirasi karir bidang akuntansi mahasiswa Universitas Negeri Malang. Kata Kunci: Self-efficacy; Kemampuan Bahasa Inggris; Aspirasi Karir; Akuntansi

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Using network science to understand the link between subjects and professions

Cited by 8 publications

References 32 publications

Less Fragmented but Highly Centralized: A Bibliometric Analysis of Research in Computational Social Science

Less Fragmented but Highly Centralized: A Bibliometric Analysis of Research in Computational Social Science

Analyzing Public Discussions About #SaudiWomenCanDrive Using Network Science

Pengaruh Self-Efficacy Dan Kemampuan Bahasa Inggris Terhadap Aspirasi Karir Bidang Akuntansi

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