Who sets the news agenda on “Chinese Twitter”? The relationships between the media and opinion leaders on Weibo

Within the theoretical framework of agenda setting, this dissertation used granger causality analysis to examine the relationships between news agendas of the media outlets and opinion leaders on one Chinese social network platform—Weibo. It also utilized network analysis to compare agenda-setting effects between the media outlets and opinion leaders in crisis and non-crisis news. The study not only applied agenda setting to Chinese social media, but it also approached the agenda-setting effects of social media from a completely different perspective, recognizing and differentiating the segmented agendas on social media platforms. It examined more nuanced agenda-setting effects among the most influential groups on social media platforms, determining and comparing the news agendas of these groups. The results showed agenda-setting effects exist only between the opinion leaders and commercial media outlets rather than the official media in China. Although journalists and celebrities tended to be the most influential ones on Twitter, business elites were the most influential opinion leader on Weibo. Furthermore, the agenda-setting process among these opinion leaders changed in crisis and non-crisis news.Journalis

Herb Target Prediction Based on Representation Learning of Symptom related Heterogeneous Network.

Traditional Chinese Medicine (TCM) has received increasing attention as a complementary approach or alternative to modern medicine. However, experimental methods for identifying novel targets of TCM herbs heavily relied on the current available herb-compound-target relationships. In this work, we present an Herb-Target Interaction Network (HTINet) approach, a novel network integration pipeline for herb-target prediction mainly relying on the symptom related associations. HTINet focuses on capturing the low-dimensional feature vectors for both herbs and proteins by network embedding, which incorporate the topological properties of nodes across multi-layered heterogeneous network, and then performs supervised learning based on these low-dimensional feature representations. HTINet obtains performance improvement over a well-established random walk based herb-target prediction method. Furthermore, we have manually validated several predicted herb-target interactions from independent literatures. These results indicate that HTINet can be used to integrate heterogeneous information to predict novel herb-target interactions

Old tales, untold : Lu Xun against world literature

World literature has smiled on Lu Xun 魯迅. He stands, if not as the foremost, then as a major representative of modern Chinese literature in anthologies. Though anthologies are not the ultimate arbiters of literary worldliness, they are influential discursive sites because of their accessibility and classroom utility. To wit, he is a common figure on university syllabi in world literature surveys. Professionally, scholarship on Lu Xun’s work reaches far beyond disciplinary Chinese studies. His works have been translated and retranslated many times in less than a century. All this is perhaps fitting considering his extraordinary services rendered to world literature as a reader and translator. Following David Damrosch’s (2003) provisional definition of world literature as circulation beyond a national origin (281), Lu Xun enabled dozens of works to circulate in Chinese, and in turn his works circulate beyond the Sinosphere. But not all of them. If, following Franco Moretti (2013), we were to look at world literature as a market, a work’s circulation has to do with the demands of readers as much as with its innate qualities (69-70). These demands reflect geopolitical realities, to be sure, but can also constitute an apologetics for them

Network

Network is a device for organising and conceptualising non-linear complexity. Networks defy narrative, chronology and thus also genealogy because they entail a multiplicity of traces. Networks problematize boundaries and centrality but intensify our ability to think in terms of flows and simultaneity. As a concept, network has been highly conducive to theorizing phenomena and processes such as globalization, digital media (Internet), speed, symbiosis and complexity. This in turn enables us to rethink what constitutes the foundations of intelligence, knowledge and even life itself. One particularly useful application of network as a concept is the notion of the gift, which is often seen as the archetypical figure for understanding the nature of economics and social relationships

Identification of key bioactive anti-migraine constituents of Asari radix et rhizoma using network pharmacology and nitroglycerin-induced migraine rat model

Purpose: To elucidate the bioactive constituents of Asari radix et rhizoma (ARR) in treating migraine based on network pharmacology and nitroglycerin-induced migraine rat model. Methods: The potential bioactive constituents of ARR were identified with the aid of literature retrieval and virtual screening, and the migraine-related hub genes were identified using protein-protein interaction and topology analyses. Then, the interaction between the potential bioactive constituents and hub genes was determined with molecular docking and topology, leading to the prediction of the anti-migraine constituents of ARR. Moreover, a rat model of nitroglycerin-induced migraine was used to confirm the prediction by measuring the frequency of head-scratching and head-shaking behavior (FHHB) in the rats. In addition, levels of nitric oxide (NO) and calcitonin gene-related peptide (CGRP) in blood, norepinephrine (NE) and 5-hydroxytryptamine (5-HT) in brain were measured using appropriate commercial kits. Results: Network pharmacology revealed that naringenin-7-O-β-D-glucopyranoside and higenamine might be the key anti-migraine bioactive constituents of ARR. On addition of naringenin-7-O-β-D- glucopyranoside or higenamine to ARR, there was marked enhancement of the mitigating effect of ARR on nitroglycerin-induced abnormalities in levels of NO, CGRP, 5-HT and NE, as well as FHHB in rats (p < 0.05 or 0.01). Conclusion: These findings indicate that naringenin-7-O-β-D-glucopyranoside and higenamine might be the key bioactive and anti-migraine constituents of ARR. However, in addition to naringenin-7-O-β-D- glucopyranoside and higenamine, there were many other anti-migraine constituents in ARR. Therefore, there is need for further investigations on the actual contributions of these two constituents of ARR in treating migraine