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IEEE Transactions on Computational Social Systems is a peer-reviewed journal published by IEEE, covering Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, Advanced Graph Neural Networks. Over its lifetime it has published 2,935 papers, which have received 45,217 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Computational Social Systems, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Computational Social Systems style. No sign-up. |
| Abbreviation (ISO-4) | TCSS |
| Publishes research in | Complex Network Analysis Techniques Opinion Dynamics and Social Influence Advanced Graph Neural Networks Sentiment Analysis and Opinion Mining Misinformation and Its Impacts |
| ISSN | 2329-924X |
| Citation impact (2-yr) | 3.16 |
| h-index | 89 |
| i10-index | 1,108 |
| Top institutions publishing here | Chinese Academy of Sciences |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
During the ongoing outbreak of coronavirus disease (COVID-19), people use social media to acquire and exchange various types of information at a historic and unprecedented scale. Only the situational information are valuable for the public and authorities to response to the epidemic. Therefore, it is important to identify such situational information and to understand how…
Decentralized autonomy is a long-standing research topic in information sciences and social sciences. The self-organization phenomenon in natural ecosystems, the Cyber Movement Organizations (CMOs) on the Internet, and the Distributed Artificial Intelligence (DAI), and so on, can all be regarded as its early manifestations. In recent years, the rapid development of blockchain technology has spawned…
Social media (and the world at large) have been awash with news of the COVID-19 pandemic. With the passage of time, news and awareness about COVID-19 spread like the pandemic itself, with an explosion of messages, updates, videos, and posts. Mass hysteria manifest as another concern in addition to the health risk that COVID-19 presented.…
To improve the accuracy of diagnosis and the effectiveness of treatment, a framework of parallel healthcare systems (PHSs) based on the artificial systems + computational experiments + parallel execution (ACP) approach is proposed in this paper. PHS uses artificial healthcare systems to model and represent patients’ conditions, diagnosis, and treatment process, then applies computational experiments…
In this paper, we first discuss the definition of modularity (Q) used as a metric for community quality and then we review the modularity maximization approaches which were used for community detection in the last decade. Then, we discuss two opposite yet coexisting problems of modularity optimization; in some cases, it tends to favor small…
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