Construction Approaches of Enterprise Innovation Network from the Perspective of Social Network

As an important means for enterprises to promote technological progress,product development and service level,innovation has an absolute role in enhancing enterprises'innovation strength and market strength.In the context of frequent and rapid product replacement and shortened technological innovation cycle in modern society,through the embedding of social networks,forming platforms for higher education institutions,governments,capital markets,research institutions and intermediary links to promote the integration of innovation and capital development and make the most of every resource has become an important way.From the perspective of social network,the methods and necessary approaches for the establishment of enterprise innovation network are studied in this article.

Research on the Enterprise Management and Employee Incentive Mechanism under the Environment of Enterprise Social Networks

In this paper, we conduct research on the enterprise management and the related employee incentive mechanism under the environment of enterprise social networks. As the sharp change in the environment, the enterprise how to win the competitive advantage for a long time which caused many strategic management thinking, to promote the new development of the theory of the strategic management. Our designed mechanism will enhance the management activities and promote the general value of the employees which has significant meanings.

Habits on Social Networks at Workplace: A Survey of Motivations and Behaviour

This article explores the use of social networks by workers in Abidjan, Côte d’Ivoire, with particular emphasis on a descriptive or quantitative analysis aimed at understanding motivations and methods of use. More than five hundred and fifty questionnaires were distributed, highlighting workers’ preferred digital channels and platforms. The results indicate that the majority use social media through their mobile phones, with WhatsApp being the most popular app, followed by Facebook and LinkedIn. The study reveals that workers use social media for entertainment purposes and to develop professional and social relationships, with 55% unable to live without social media at work for recreational activities. In addition, 35% spend on average 1 to 2 hours on social networks, mainly between 12 p.m. and 2 p.m. It also appears that 46% believe that social networks moderately improve their productivity. These findings can guide marketing strategies, training, technology development and government policies related to the use of social media in the workplace.

Evolution and Governance of the Structure of Marine Economic Networks in China’s Coastal Areas: Based on Sea-related A-share Listed Companies

Data on discrete,isolated attributes of the marine economy are often used in traditional marine economic research.However,as the focus of urban research shifts from internal static attributes to external dynamic linkages,the importance of marine economic net-work research is beginning to emerge.The construction of the marine economic network in China’s coastal areas is necessary to change the flow of land and sea resources and optimize regional marine economic development.Employing data from headquarters and branches of sea-related A-share listed enterprises to construct the marine economic network in China,we use social network analysis(SNA)to discuss the characteristics of its evolution as of 2010,2015,and 2020 and its governance.The following results were obtained.1)In terms of topological characteristics,the scale of the marine economic network in China’s coastal areas has accelerated and expan-ded,and the connections have become increasingly close;thus,this development has complex network characteristics.2)In terms of spatial structure,the intensity of the connection fluctuates and does not form stable development support;the group structure gradually becomes clear,but the overall pattern is fragmented;there are spatial differences in marine economic agglomeration radiation;the radi-ation effect of the eastern marine economic circle is obvious;and the polarization effect of northern and southern marine economic circles is significant.On this basis,we construct a framework for the governance of a marine economic network with the market,the government,and industry as the three governing bodies.By clarifying the driving factors and building objectives of marine economic network construction,this study aims to foster the high-quality development of China’s marine economy.

Evolutionary prisoner’s dilemma on Newman-Watts social networks with an asymmetric payoff distribution mechanism

In this paper, we introduce an asymmetric payoff distribution mechanism into the evolutionary prisoner＇s dilemma game （PDG） on Newman Watts social networks, and study its effects on the evolution of cooperation. The asymmetric payoff distribution mechanism can be adjusted by the parameter α： if α〉 0, the rich will exploit the poor to get richer; if α 〈 0, the rich are forced to offer part of their income to the poor. Numerical results show that the cooperator frequency monotonously increases with c~ and is remarkably promoted when c~ 〉 0. The effects of updating order and self-interaction are also investigated. The co-action of random updating and self-interaction can induce the highest cooperation level. Moreover, we employ the Gini coefficient to investigate the effect of asymmetric payoff distribution on the the system＇s wealth distribution. This work may be helpful for understanding cooperative behaviour and wealth inequality in society.

A Google Map Based Social Network (GMBSN) for Exploring Information about a Specific Territory

Social Networking is a harbinger to a more recent era in the area of computing where allocated and central resources are used in an exclusive manner. Millions of people around the globe with access to the internet are part of one or more social networks. They have permanent online accounts on Facebook and Twitter etc. where they create profiles, share photos, videos, useful links, their thoughts and spend hours catching up with what their friends are doing in their lives. The problem arise when somebody needs specific information about any city inside a country e.g. Where he/she can live? What he/she can eat? Where is the best place for outing? What are the special events relevant to that region? And may be any other help? In this paper we suggest a social network called Google map based social network (GMBSN), where users can choose their desired city of interest from the list. The selected city will be highlighted on Google map. After choosing any city from the map, the user will be able to select any category from the list and start finding and sharing information about the desired city of any country.

Self-Medication of Senegalese Women through Social Networks

Self-medication is a form of self-care which has evolved considerably with the development of digital technology. It particularly challenges public health actors given the risks to which it may be exposed if it is not properly supervised. The aim of this work was to study the knowledge, attitudes and practices of Senegalese women on self-medication through social networks. A transversal descriptive study was conducted from June 10 to 30, 2019. It concerned all Senegalese women registered in at least one of the following women’s Facebook groups: Femme chic, Femme leader, Ladies club or Entre yaays. A study information sheet was posted on the wall of these different groups, and enabled consenting women to find a questionnaire deployed online directly through a link. Consenting women were able to complete the data collection tool directly online. The proportions were compared by setting the alpha risk at 5%. A total of 508 women were surveyed. The results thus showed a high prevalence (68.9%) of self-medication. A proportion of 46.3% of those self-medicated used Facebook or the Internet as a source of information to find the drugs to use. The advice received from these groups related to hygiene and dietary measures (96.1%), consultation with health personnel (54.6%), consultation with a traditional healer (50.4%) and taking medication (41.8%). The health problems most treated with these self-medications were headaches ((84.6%) and painful periods (45.1%). Simple analgesics (84.6%) and vitamins (66.9%) were the most recommended drugs, but it was also found antibiotics (40.0%), centrally acting analgesics (20.0%), anti-diabetics (6.9%) and antihypertensive (5.4%). Oral tablets (92.3%) remained the most widely used dosage forms, but eye drops (5.4%) and injectables (5.4%) were also found. Although searching for information on Facebook/internet, women obtained the drugs from pharmacies (72.4%) or the family medicine box (19%). Regarding self-medication on Facebook, its easy accessibility (67.8%) was the main motivation for which women chose it, as well as saving time (33.9%). Advice on health through the Facebook network is important for Senegalese women but taking medication on advice from these forums remains low. A better presence for health actors in social networks is becoming urgent in order to promote responsible self-medication.

Finding Statistically Significant Communities in Networks with Weighted Label Propagation

Various networks exist in the world today including biological, social, information, and communication networks with the Internet as the largest network of all. One salient structural feature of these networks is the formation of groups or communities of vertices that tend to be more connected to each other within the same group than to those outside. Therefore, the detection of these communities is a topic of great interest and importance in many applications and different algorithms including label propagation have been developed for such purpose. Speaker-listener label propagation algorithm (SLPA) enjoys almost linear time complexity, so desirable in dealing with large networks. As an extension of SLPA, this study presented a novel weighted label propagation algorithm (WLPA), which was tested on four real world social networks with known community structures including the famous Zachary's karate club network. Wilcoxon tests on the communities found in the karate club network by WLPA demonstrated an improved statistical significance over SLPA. Withthehelp of Wilcoxon tests again, we were able to determine the best possible formation of two communities in this network relative to the ground truth partition, which could be used as a new benchmark for assessing community detection algorithms. Finally WLPA predicted better communities than SLPA in two of the three additional real social networks, when compared to the ground truth.

基于SNA的生态环境科技成果转化三方合作的影响机制

探寻政府推广生态环境科技成果转化的最优策略、倒逼企业和激励科研单位积极参与生态环境科技成果转化成为解决生态环境治理困境的迫切需要.首先基于生态环境科技成果转化政府、企业和科研机构三方有效合作的内在逻辑分析,从政府、企业和科研机构三大层面构建生态环境科技成果转化有效合作的影响因素指标体系,并开发其影响因素调查问卷;其次通过社会网络模型量化分析影响生态环境科技成果转化三方有效合作作用机理,识别其关键影响因素;最后结合实证分析结果,基于生态环境科技成果转化运行现存的转化动力不足、转化渠道不畅、转化效率低等问题,从政府、企业和科研机构三方参与行为提出优化路径的建议.

一种基于改进D-S证据理论的信任关系强度评估方法研究

随着Web 2.0技术的迅速发展,社会网络开始在我们的生活中扮演着重要的角色,越来越多的人在网络中发表言论、互相交流、共享信息.然而,在社会网络中,信任关系是用户间进行交互的基础,不同用户之间的信任关系强度不同,相同用户在不同领域内的信任关系强度也存在差异,信任关系的不确定性是信任评估的最大挑战.针对以上问题提出了一种基于改进D-S证据理论的灵活直观的评估方法,该方法综合考虑用户被关注度、用户信誉度、用户活跃度和用户相似度4个方面,将这4个方面作为4个属性证据,同时根据模糊理论中的隶属度原理获取基本信任分配,然后基于以上4个属性证据构建多源属性证据信任关系强度融合模型,在领域内对其信任关系强度进行评估,最后采用Epinions中真实的数据集进行实验.实验结果验证了该方法的可行性和优势,为复杂的社会网络环境中信任关系强度评估的研究提供了有价值的新思路.

基于SOR理论的社交网络互动对旅游行为的影响

提高社交网络互动效率激发游客产品购买行为一直是旅游企业关注的问题。本文通过S-O-R框架,借鉴价值理论与沉浸理论探究虚拟品牌社区互动对旅游行为的影响。结果表明:易用性、双向沟通、旅游目的地联结性等因素是旅游者感知互动的重要组成,但感知互动不能直接对旅游产品购买行为产生显著影响,而是通过沉浸与感知价值的中介作用产生旅游购买行为。因此,本文提出积极响应成员交流、通过线上活动增加旅游目的地联结性、通过话题分组减少信息过载、鼓励旅游者分享旅游故事等建议,以改善社交网络旅游者体验,提升旅游企业社交网络运营能力。

我国世界一流大学建设高校间科研合作网络研究——基于CNKI和WoS数据的对比

[目的/意义]对比研究我国42所世界一流大学建设高校(以下简称高校)国内和国际发文科研合作网络,有助于推动高校间知识和技术快速传播,发挥协同创新优势,为推动世界一流大学建设的内涵式发展贡献微薄之力。[方法/过程]以42所高校在CNKI和WoS发文数为数据源,分别构建合作频次矩阵、Salton指数矩阵。运用社会网络分析方法、多元统计分析方法,借助统计分析与可视化软件,分别从网络密度、点度中心性、中间中心性和网络聚类等方面对合作网络进行全面的对比揭示与分析。[结果/结论]发现42所高校在国内、国际的合作强度都相对较低,但国际合作强度明显高于国内;高校科研产出与科研合作程度都存在较强的正相关关系;通过聚类分析发现强地域性、强学科性是高校进行科研合作的主要影响因素,但高校在国际合作上强地域性因素逐渐弱化,协同创新合作趋势日益加强;最后提出高校间进行科研合作的针对性建议。

SNS用户的社交网络游戏行为研究综述

本文通过对SNS用户玩社交网络游戏行为相关研究成果的系统分析,发现被用于社交网络游戏行为研究的理论主要有使用与满足理论、技术接受模型和心流体验理论等;社交网络游戏行为的动机主要为休闲娱乐、社交互动和自我展示;而社交网络游戏使用和持续使用的影响因素包括认知性因素、情感(体验)性因素、态度性因素、人格因素、社会性因素和技术性因素。

社会网在SDN企业成长中的应用研究

为了化解SDN企业成长中的资源危机,提出了以SDN企业外围社会网获取内部稀缺资源的思想,并以员工的外部社会网为研究点,给出了其帮助SDN企业成长的具体应用方法。最后参照SDN企业的成长机理,进一步分析证明了员工的外部社会网对SDN企业成长的作用机理。结论表明,社会网有助于化解SDN企业成长中的资源危机,特别是外部社会网,在中间枢纽点的联系下,使用方法得当,就能成为SDN企业成长中的强有力的辅助力量。

基于SPSS和RBF的工程总承包竞争力综合评价模型

分析了我国工程总承包企业在开展多元化经营战略中竞争力的构成要素,并利用SPSS软件辅助构建包括技术水平及创新能力、资金运营能力、综合管理能力、企业形象建设、市场竞争能力及组织能力等方面的工程总承包企业竞争力的评价指标体系.在此基础上建立了基于RBF网络的工程总承包企业的竞争力评价模型.最后,通过实例模拟验证所建模型的有效性.

采用SNA的建筑企业组织角色权力评价及实证分析

采用社会网络分析法(SNA),以组织角色的业务流程工作流为基础,计算角色的出度量、入度量、中介中心度、接近中心度及总制约等网络权力指标.对所有单个指标的关系矩阵进行综合合成,构造组织角色的总关系矩阵.通过总关系矩阵的中心度量化,确定评价角色的评价结果和排序.以某建筑企业的成本管理等核心业务流程为实证,评价其组织角色的权力分配,提出组织优化的措施与路径.研究结果表明:组织角色权力的社会网络模型客观地反映建筑企业集分权的状况;大部分角色的组织层级与其总关系矩阵的中心性呈现正向关系部分,无规律的现象正好反映组织角色职权分配还存在不合理之处,这些角色是组织和权力优化的重要对象.

G60科创走廊高质量发展的空间关联结构及影响因素

综合多要素探讨城市空间关联结构对于推进区域高质量一体化发展意义重大.利用修正引力模型和社会网络分析法对G60科创走廊沿线城市高质量发展的空间关联结构及其影响因素进行了分析.结果表明:1)区域整体高质量发展水平不断提升且非均衡性不断减弱,沿线城市高质量发展多维度得分差异明显,在空间分布上,高质量发展水平上海最高且向苏浙皖方向逐渐递减,苏州、杭州是区域高质量发展的次核心城市.2)高质量发展空间关联强度呈现稳定的“东高西低”特征,高值关联有向西北纵深发展的趋势;网络关联数、网络密度波动上升;网络关联度、网络等级度、网络效率先呈现“N”型发展趋势,而后表现出阶梯式的上升过程.3)点出度、中介中心度高值区由多点集聚演变至单极格局;点入度始终呈现以杭州、嘉兴、湖州为高值中心的“核心—边缘”结构,接近中心度空间分异最稳定且城市差异最小,高值区不断向西拓展.4)城市邻接、信息关联、创新合作是影响城市高质量空间关联的重要因素,产业结构相似性、交通基础设施差异的影响不显著.研究结论可为推进G60科创走廊一体化高质量发展提供参考.

OSN下客户领袖声音分类及其识别方法研究

文章以客户的价值取向动机为基础,对客户领袖声音类型进行分类,通过建立多特征两层识别分类模型,在侦听代理软件观测客户声音特征属性数据的基础上,运用D-S证据推理方法识别客户领袖声音类型;并通过算例数据验证,证明该方法是企业聆听客户声音,支持营销决策的重要手段。

企业社会责任与SA8000标准体系

企业社会责任应是企业在谋求股东利润最大化之外所负有的维护和增进社会利益的义务,是对股东利益最大化这一传统原则的修正和补充;SA8000是规范企业劳工社会责任标准的一种崭新的尝试,它比“企业的人性化”确立更为前进了一步,起到了量化的作用。从企业社会责任和SA8000两方面进行了细致的分析,意在我国企业劳工社会责任的规范化运作机制找到一条相应的途径。

ESN中基于贪婪派系扩张的重叠社区发现

传统局部扩张方法在对企业社会化网络(ESN)中的重叠社区结构进行识别时,存在计算冗余与社区挖掘不彻底的问题。为此,提出一种基于贪婪派系扩张的重叠社区发现算法GFE。在原始ESN中寻找极大派系,根据派系间的关联程度计算其链接强度,将原始网络图转换成最大派系图。在最大化适应度函数的条件下,贪婪扩张最大派系图中的种子派系,以进行社区发现。在此基础上,比较社区差异度,合并近似重复的社区,从而优化重叠社区的层次结构。实验结果表明,GFE算法能有效发现ESN中的重叠社区结构,且运行效率高于CPM、LFM等算法。