Integrating Neighborhood Geographic Distribution and Social Structure Influence for Social Media User Geolocation

Geolocating social media users aims to discover the real geographical locations of users from their publicly available data,which can support online location-based applications such as disaster alerts and local content recommen-dations.Social relationship-based methods represent a classical approach for geolocating social media.However,geographically proximate relationships are sparse and challenging to discern within social networks,thereby affecting the accuracy of user geolocation.To address this challenge,we propose user geolocation methods that integrate neighborhood geographical distribution and social structure influence(NGSI)to improve geolocation accuracy.Firstly,we propose a method for evaluating the homophily of locations based on the k-order neighbor-hood geographic distribution(k-NGD)similarity among users.There are notable differences in the distribution of k-NGD similarity between location-proximate and non-location-proximate users.Exploiting this distinction,we filter out non-location-proximate social relationships to enhance location homophily in the social network.To better utilize the location-proximate relationships in social networks,we propose a graph neural network algorithm based on the social structure influence.The algorithm enables us to perform a weighted aggregation of the information of users’multi-hop neighborhood,thereby mitigating the over-smoothing problem of user features and improving user geolocation performance.Experimental results on real social media dataset demonstrate that the neighborhood geographical distribution similarity metric can effectively filter out non-location-proximate social relationships.Moreover,compared with 7 existing social relationship-based user positioning methods,our proposed method can achieve multi-granularity user geolocation and improve the accuracy by 4.84%to 13.28%.

Influencing factors and preventive measures of infectious complications after intestinal resection for Crohn’s disease

The incidence of Crohn’s disease(CD)has increased in recent years,with most patients requiring intestinal resection.Complications after intestinal resection for CD can lead to poor prognosis and recurrence,among which infectious complic-ations are the most common.This study aimed to investigate the common risk factors,including medications,preoperative nutritional status,surgery-related factors,microorganisms,lesion location and type,and so forth,causing infectious complications after intestinal resection for CD,and to propose corresponding preventive measures.The findings provided guidance for identifying suscept-ibility factors and the early intervention and prevention of infectious complic-ations after intestinal resection for CD in clinical practice.

The Influence of Chinese Boudoir Poem on American Modernist Poet Williams’The Widow’s Lament in Springtime

Chinese poetry has exerted a great influence on American modernist poets,especially on William Carlos Williams(1883-1963).William Carlos Williams’The Widow’s Lament in Springtime shares some connections with Chinese Boudoir poems in theme,image,and technique.This paper tends to discuss the influence of Chinese Boudoir poems on William Carlos Williams based on his creating of The Widow’s Lament in Springtime,which provides a new perspective for studying the communication of Chinese and American poetry.

Analysis of User's Weight in Microblog Network Based on User Influence and Active Degree

Based on user＇s in-degree distribution, traditional ranking algorithms of user＇s weight usually neglect the considerations of the differences among user＇s followers and the features of user＇s tweets. In order to analyze the factors which impact on user＇s weight, under the analysis of the data collected from SINA Microblog network, this paper discovers that user influence and active degrees are the dominant factors for this issue. The proposed algorithm evaluates user influence by user＇s follower number, the influence of user＇s followers and the reciprocity between users. User＇s active degree is modeled by user＇s participation and the quality of user＇s tweets. The models are tested by different data groups to confirm the parameters for the final calculation. Eventually, this paper compares the computational results with the user＇s ranking order given by the SINA official application. The performance of this algorithm presents a stronger stability on the fluctuant range of the value of user＇s weight.

Evaluation of Microblog Users’ Influence Based on PageRank and Users Behavior Analysis

This paper explores the uses’ influences on microblog. At first, according to the social network theory, we present an analysis of information transmitting network structure based on the relationship of following and followed phenomenon of microblog users. Informed by the microblog user behavior analysis, the paper also addresses a model for calculating weights of users’ influence. It proposes a U-R model, using which we can evaluate users’ influence based on PageRank algorithms and analyzes user behaviors. In the U-R model, the effect of user behaviors is explored and PageRank is applied to evaluate the importance and the influence of every user in a microblog network by repeatedly iterating their own U-R value. The users’ influences in a microblog network can be ranked by the U-R value. Finally, the validity of U-R model is proved with a real-life numerical example.

Impact of user influence on information multi-step communication in a micro-blog

User influence is generally considered as one of the most critical factors that affect information cascading spreading. Based on this common assumption, this paper proposes a theoretical model to examine user influence on the information multi-step communication in a micro-biog. The multi-steps of information communication are divided into first-step and non-first-step, and user influence is classified into five dimensions. Actual data from the Sina micro-blog is collected to construct the model by means of an approach based on structural equations that uses the Partial Least Squares （PLS） technique. Our experimental results indicate that the dimensions of the number of fans and their authority significantly impact the information of first-step conxrnunication. Leader rank has a positive impact on both first-step and non-first-step communication. Moreover, global centrality and weight of friends are positively related to the information non-first-step communication, but authority is found to have much less relation to it.

An index model for measuring microblog users' influence

Purpose: The paper aims to build an index model for measuring microblog users' influence by taking microbloggers of Sina Weibo as a research sample.Design/methodology/approach: Our user influence index model emphasizes link analysis and user activities in the microblogging network. We conduct experiments to investigate the performance of our model by using data crawled from Sina Weibo.Findings: User influence is correlated to the attention that a user has received from his/her audience,the user's activities and his/her tweets' influence. Experimental results show that our model can reflect microbloggers' influence in a more reasonable way.Research limitations: More factors need to be considered to identify different influential users at different time periods.Practical implications: The results of the study provide us with insights both into the way to measure microblog users' influence and to rank users based on their influence.Originality/value: By combining link analysis and user activities,this index model can reduce the impact of dummy follower accounts on user influence,reflecting a user's real influence in the microblog system.

Identification of Influential Users in Online Social Network: A Brief Overview

Information networks where users join a network, publish their own content, and create links to other users are called Online Social Networks (OSNs). Nowadays, OSNs have become one of the major platforms to promote both new and viral applications as well as disseminate information. Social network analysis is the study of these information networks that leads to uncovering patterns of interaction among the entities. In this regard, finding influential users in OSNs is very important as they play a key role in the success above phenomena. Various approaches exist to detect influential users in OSNs, starting from simply counting the immediate neighbors to more complex machine-learning and message-passing techniques. In this paper, we review the recent existing research works that focused on identifying influential users in OSNs.

Influence of Additives on the Solvothermal Synthesis in the Formation of Zn-MOF_5

The influences of additives of NH_3,HCl,KOH and CH_3OH on the solvothermal synthesis of the Zn-based metal-organic frameworks(Zn-MOF_5s)were investigated.Powder X-ray diffraction(PXRD),thermal gravimetric analysis(TGA),Fourier translation infrared spectroscope(FT-IR),N_2adsorption/desorption at 77 K and CO_2sorption measurements were used to characterize the as-prepared Zn-MOF_5s.The experimental results showthat additives of NH_3,CH_3OH,HCl and KOH in the synthesis of the Zn-MOF_5s do not change the underlying topology,but they are extremely sensitive to the pore textural properties,thus changing the CO_2adsorption capacity.Additives would lower the pore width and the surface area,and then lower the CO_2adsorption capacity of Zn-MOF_5s.

Bell’s Theorem and Instantaneous Influences at a Distance

An explicit model-example is presented to simulate Einstein-Podolsky-Rosen (EPR) experiments without invoking instantaneous influences at a distance. The model-example, together with the interpretation of past experiments by Kwiat and coworkers, uncovers logical inconsistencies in the application of Bell’s theorem to actual EPR experiments. The inconsistencies originate from topological-combinatorial assumptions that are both necessary and sufficient to derive all Bell-type inequalities including those of Wigner-d’Espagnat and Clauser-Horne-Shimony-Holt. The model-example circumvents these inconsistencies.

集体经营性建设用地入市农户满意度影响因素研究——基于Logistic-ISM模型的分析

农户满意程度可以反映政策改革成效,探究农户集体经营性建设用地入市满意度影响因素,有助于评价政策实施效果,同时对提升农村发展和农民幸福感也有一定的现实意义.采用问卷调查和访谈的方式,选取重庆市大足区作为研究区域,基于Logistic模型确定农户满意度的影响因素,结合ISM模型分析各影响因素之间的层次关系,对农民的政策实施满意度影响因素进行实证分析.研究结果显示:(1)针对入市实施效果,绝大部分农户持满意态度,不满意的地方集中在收益分配不及时和环境污染方面;(2)家中是否有村干部、生态环境变化情况、是否参与表决、分配公平性、入市实际收益、程序透明性、入市风险存在情况、对入市土地所有者的认知对入市农户满意度有显著影响.其中对入市土地所有者的认知、入市风险存在情况、入市实际收益为表层直接因素,中层间接因素有生态环境变化情况、是否参与表决、分配公平性以及程序透明性,家中是否有村干部为深层根源因素.应进一步完善土地产权制度,明晰入市到期后土地权属问题;健全监督管理机制,建立集体经营性建设用地入市单位的产业目录和准入标准制度;完善收益分配机制,制定集体土地入市指导性分配意见;将村集体负责人纳入政府基层领导队伍体系,提高程序透明性.

油井管在CO_(2)/H_(2)S体系中的腐蚀行为研究进展

CO_(2)和H_(2)S引起的腐蚀问题备受关注。CO_(2)/H_(2)S体系是导致石油管材发生腐蚀、断裂、穿孔等失效的主要原因,高温、高压、高含Cl-的“三高”井下环境以及高含硫气藏的开发环境,进一步加剧了管材的腐蚀,严重威胁井筒的安全。本文论述了CO_(2)和H_(2)S的腐蚀机理,概括了pH值、温度、H_(2)S分压、Cl^(-)浓度等因素对油井管腐蚀规律的影响,重点分析了CO_(2)/H_(2)S的分压比对管材CO_(2)/H_(2)S腐蚀的作用机制。结果表明,CO_(2)/H_(2)S的分压比对CO_(2)/H_(2)S体系下的腐蚀起着重要作用,不同的CO_(2)/H_(2)S分压比能够改变腐蚀过程,且对CO_(2)/H_(2)S的竞争协同机制存在一定的影响,高CO_(2)/H_(2)S分压比还会引起局部腐蚀。最后,对CO_(2)/H_(2)S体系下管材的腐蚀研究进行了展望。

Physician-dependent diagnosis delay in Crohn's disease:A pseudoproposition or not?

The challenge of diagnosis delay in inflammatory bowel disease(IBD)has emerged as a significant concern for both patients and healthcare professionals.The widely accepted notion that there is an extended time frame from the onset of symptoms to the definitive diagnosis is often attributed to the heterogeneity of IBD and the non-specificity of clinical manifestations.Specific to patients with Crohn’s disease,the issue of delayed diagnosis appears to be more pronounced across different regions globally.The intricate interplay of real-world factors has led to debates regarding the primary contributors to these diagnostic delays.Drawing a comparison solely between patients and physicians and implicating the latter as the predominant influence factor may fall into a simplistic either-or logical trap that may obscure the truth.This letter,grounded in published evidence,explores areas for improvement in a forthcoming paper within the field,hoping to pinpoint the culprit behind the diagnosis delay issue for IBD patients rather than simply attributing it to so-called“physician-dependent factors”.Our objective is to motivate healthcare providers and policymakers in relevant fields to reflect on strategies for addressing this problem to reduce diagnostic delays and enhance patient outcomes.

The Impact and Intervention of Handheld Tai Chi Water-Resistance Fitness Ball on Middle-Aged and Elderly Patients with Parkinson’s Disease

Through the use of a survey and statistical methods, this study explores the effects and interventions of handheld Tai Chi water resistance fitness balls on the elderly with Parkinson’s disease. Firstly, a questionnaire on exercise compliance for patients with Parkinson’s disease was developed, and its reliability and validity were tested. Then, a survey was conducted to investigate the current status of exercise compliance among Parkinson’s disease patients, including general information, scoring status, and single and multiple factor analyses of influencing factors [1]. The results of the study show that through qualitative research, the dimensions and item pools of the questionnaire were initially constructed, and the reliability analysis of the questionnaire was conducted through Delphi expert consultation, with favorable results in terms of its reliability and validity [2]. Regarding the current status of exercise compliance among Parkinson’s disease patients, the study found that the level of exercise compliance needs improvement, and there are significant differences in exercise compliance levels among patients under different circumstances. Finally, the research results were discussed and conclusions were drawn. The innovation of this study lies in the development of a questionnaire on exercise compliance for patients with Parkinson’s disease and the preliminary qualitative research and Delphi expert consultation conducted on it, providing new ideas and methods for the study of exercise compliance. However, the study also has limitations as it did not examine the effects of other interventions on Parkinson’s disease, so further research should be conducted [3].

UGC-Driven Social Influence Study in Online Micro- Blogging Sites

In Web 2.0 era,the content on a web page is increasingly generated by end users,rather than limited number of administrators.Hence,large number of User Generated Content(UGC) has driven the explosion of content in the web.Thanks to UGC,the pattern of web usage has evolved from download dominated way to a hybrid one with both information download and upload.Large number of UGC has unveiled great capacity of information that is unavailable for researchers before,such as individual preferences,social connections,and etc.In this paper,we propose a novel model which studies the UGC in micro-blogging web sites,the largest and fastest information diffusion media online,and evaluate the social influence for an arbitrary individual.Experimental results show that our model outperforms state-of-the-art techniques in social influence evaluation in both the running time and accuracy.

The Influence of Miao Nationality’s Culture in Yuan Xiang Region on the Later Poetry Creation of Qu Yuan

Miao culture is one of the minority cultures in China.It also has a certain impact on the development of Chinese literature and poetry.Chu ci is a new poetic style created by Qu Yuan,an ancient poet in China.It is the first collection of romantic poetry in the history of Chinese literature.Qu Yuan’s poetry creation is related to his life experience.Qu Yuan was exiled to Yuan Xiang region,and he had been in contact with the Miao ancestors in Yuan Xiang area during the exile.Therefore,the Miao land culture in Yuan Xiang area has a profound influence on Qu Yuan’s later poetry creation.This paper,taking Qu Yuan’s later poetry as an example,analyzes the influence of Miao culture on Chu ci in Yuan Xiang area,introduces Qu Yuan’s life and how to contact Miao culture,and probes into the influence of Miao nationality’s religious thought,customs,language and culture,oral folk song and pan song on the later poetry creation of Qu Yuan.

REALIZATION OF THE RMB'S CONVERTIBILITY UNDER THE CURRENT ACCOUNT AND ITS INFLUENCE

It was approved by the State Council in I984 to establish economicand technological development zones in 14 coastal port cities tofunction as windows for those cities to attract foreign investment,introduce advanced technology and management methods andexpand the export-oriented economy.Since 1992,18 other developmentzones have been approved by the Council,increasing the number ofsuch zones to 32.

China’s Influence in South and Southeast Asia

The Belt and Road Initiative is set to launch a new era of trade and partner- ship between China and ASEAN coun- tries, which will be extended further to Africa and Europe. China has an increas- ing influence in South and Southeast Asia with its support for infrastructure construction projects in local areas.