Cheng Long
Biographic Data
| ID | 7288602 |
|---|---|
| NAME | Cheng Long |
| GIVEN NAMES | Cheng |
| FAMILY NAME | Long |
| SIGNATURE | LONG C |
| AFFILIATIONS | Xi’an University of Posts and Telecommunications |
| ORCID | 0000-0001-6806-8405 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Mechanistic exploration of the shenlian formula in the suppression of atherosclerosis progression via network pharmacology and in vivo experimental validation
Covid-19 and Sinophobia: Detecting Warning Signs of Radicalization on Twitter and Reddit
Hate crimes and hateful rhetoric targeting individuals of Asian descent have increased since the outbreak of COVID-19. These troubling trends have heightened concerns about the role of the Internet in facilitating radicalization. This article explores the existence of three warning signs of radicalization-fixation, group identification, and energy bursts-using data from Twitter and Reddit. Data were collected before and after the outbreak of COVI…
Data Science for Fake News: Surveys and Perspectives
Divisive Faultlines and Knowledge Search in Technological Innovation Network: An Empirical Study of Global Biopharmaceutical Firms
Divisive faultlines caused by the uneven distribution of relationship strength play an essential role in knowledge search in the technological innovation network, which serves as an important requirement for the technological innovation network's macro level to expand to the meso-subgroup level and promote its healthy development. Given that the biopharmaceutical industry, as a high-tech industry, plays a vital role in promoting healthy developme…
Learning Network Representations With Different Order Structural Information
Network embeddings aim to learn representations of nodes in a network with both the first- and the high-order proximities preserved. The first-order proximity corresponds to network reconstruction, while the high-order proximity is in tune with network inference. Since the tradeoff between the two proximities varies on scenarios, we propose an adjustable network embedding (ANE) algorithm for adjusting the weight between the first- and the high-or…
No prominent works on this page.
Learning Network Representations With Different Order Structural Information
Network embeddings aim to learn representations of nodes in a network with both the first- and the high-order proximities preserved. The first-order proximity corresponds to network reconstruction, while the high-order proximity is in tune with network inference. Since the tradeoff between the two proximities varies on scenarios, we propose an adjustable network embedding (ANE) algorithm for adjusting the weight between the first- and the high-or…
Data Science for Fake News: Surveys and Perspectives
Divisive Faultlines and Knowledge Search in Technological Innovation Network: An Empirical Study of Global Biopharmaceutical Firms
Divisive faultlines caused by the uneven distribution of relationship strength play an essential role in knowledge search in the technological innovation network, which serves as an important requirement for the technological innovation network's macro level to expand to the meso-subgroup level and promote its healthy development. Given that the biopharmaceutical industry, as a high-tech industry, plays a vital role in promoting healthy developme…
Covid-19 and Sinophobia: Detecting Warning Signs of Radicalization on Twitter and Reddit
Hate crimes and hateful rhetoric targeting individuals of Asian descent have increased since the outbreak of COVID-19. These troubling trends have heightened concerns about the role of the Internet in facilitating radicalization. This article explores the existence of three warning signs of radicalization-fixation, group identification, and energy bursts-using data from Twitter and Reddit. Data were collected before and after the outbreak of COVI…
Mechanistic exploration of the shenlian formula in the suppression of atherosclerosis progression via network pharmacology and in vivo experimental validation
Computer Science (4 works) · Business (2 works) · Engineering (2 works) · Internet privacy (2 works) · Medicine (2 works) · Misinformation and Its Impacts (2 works) · World Wide Web (2 works) · 2019-20 coronavirus outbreak (1 works) · Advanced Graph Neural Networks (1 works) · Advertising (1 works)