如果你也在 怎样代写复杂系统Complex Systems这个学科遇到相关的难题，请随时右上角联系我们的24/7代写客服。复杂系统Complex Systems由许多组件组成的系统，这些组件可能相互影响。复杂系统的例子有地球的全球气候、生物体、人脑、基础设施，如电网、交通或通信系统、复杂的软件和电子系统、社会和经济组织（如城市）、生态系统、生物细胞，以及最终的整个宇宙。
复杂系统Complex Systems是指由于其各部分之间或某一系统与其环境之间的依赖、竞争、关系或其他类型的相互作用，其行为在本质上难以建模。复杂 “的系统具有从这些关系中产生的独特属性，如非线性、涌现、自发秩序、适应和反馈回路等等。由于这类系统出现在各种各样的领域，它们之间的共性已经成为其独立的研究领域的主题。在许多情况下，将这样的系统表示为一个网络是很有用的，其中节点代表组件，链接代表它们的相互作用。
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物理代写|复杂系统作业代写Complex Systems代考|User Profile Proposal
The analysis of the data extracted from Twitter for this research focuses on organization profiles: banking, telephony, shopping, and supermarkets, selecting the current accounts. The interest of the information extracted from each page focuses on the display of the profile of the type of Twitter, considering the following characteristics:
- Leadership, meaning that we want to visualize which tweet is the one that is being talked about more recurrently and to whom it belongs. For this, it is necessary to have the messages issued and with information such as the amount of “retweet” and “I like” that the tweets that refer to the different profiles have.
- Experience: This approach seeks to inform how participative or expert is the user who has made the tweet, either because it has a large number of messages posted, a large number of people who are interested in their profile, the number of profiles of interest or the amount of “I like” that performs to different tweets. For this, the information that is required is related to the user’s profile, where the relevant data for this analysis corresponds to the date of creation of the said account, the number of tweets, number of followers, amount of followers, and quantity of likes owned by the user.
- Origin, which uses the information related to the user’s location, which is entered by himself when creating his account. This restricts to obtaining an effective analysis, since the location is presented in different formats or even in an incorrect way, as well as because it is not mandatory information, we find users without defining their location.
As a summary, Fig. 1 shows a diagram with the mentioned requirements and the characteristics required in the analysis of the user profile of a social network, such as Twitter.
For analyzing the data, the collection of different tweets from the Web pages of the selected companies is taken into account (Martínez-Cámara et al. 2011; Sebastiani and Esuli 2006). Data associated with the characteristics is extracted for each profile. Subsequent implementation is done using the practical tool, Qlik Sense Desktop [that uses the associative data indexing (QIX) engine (Badr et al. 2018)] with the purpose of generating personalized and interactive visualizations, dashboard, of data, which in turn seeks to answer the following research questions:
- How does the Twitter user behave in different brands?
- How do opinions on the network affect the company’s Twitter profile?
物理代写|复杂系统作业代写Complex Systems代考|Software Architecture
For implementing and obtaining analysis results of user’s profile, it is of crucial importance of the existence of a properly defined software architecture, which allows to extract and analyze data from Twitter (Ikeda et al. 2013; Jansen et al. 2009; Nigam
Lafferty and McCallum 1999; Sebastiani 2002). Figure 2 shows the proposal arranged in four layers based on data extracted by Twitter to analyze user profile.
Figure 2 shows a proposal of a software architecture and tools composed of four layers of processes described below, and each of them requires specific toolsassociated with different tasks and processes, such as: QVSource, Pentaho, and Qlik Sense Desktop.
物理代写|复杂系统作业代写COMPLEX SYSTEMS代考|Data Analysis of Tweet Profile
There architecture obtained (Fig. 2) allows implementation for data analysis extracted from social tools (Twitter), related to the value of the customer experience, through
the “user profile” model (Fig. 1), for which the Qlik Sense Desktop program is used as a data visualization tool. This type of solution has a great advantage that is it is low cost and, in addition, it has the particularity that can be used, by any person that has the need to solve this model for the development and optimization of their organization, without the need to count necessarily with experts in the area of business intelligence.
The proposed solution complies with the fundamental stages of a business intelligence model, since it provides a model of information analysis and different visualizations that allow to deliver answers to the concerns raised by companies to make the best decisions based on relevant information.
Obtaining information provided by users through social networks is of high value and utmost importance for organizations, since it is through them that people expose claims, opinions, experiences, or needs that are relevant to them and that constitute a valuable information for all types of entities that wish to remain connected with the market.
To perform this information analysis, the social network taken as an example is Twitter, since it is one of the most used networks, with a large number of active users. For this reason, the choice of this network to develop the user profile model was considered as the most appropriate and ideal, mainly due to its particular characteristic of having text messages limited to 280 characters (Priya et al. 2019), and thanks to the fact that the information provided by Twitter is of public access, as are also the applications that allow you to connect to the API of this social network to obtain the desired information.
复杂系统代写
物理代写|复杂系统作业代写COMPLEX SYSTEMS代考|USER PROFILE PROPOSAL
本研究对从 Twitter 提取的数据的分析侧重于组织概况：银行、电话、购物和超市，选择经常账户。从每个页面中提取的信息的兴趣集中在 Twitter 类型的个人资料的显示上，考虑到以下特征：
- 领导力，这意味着我们想要可视化哪条推文是经常被谈论的推文以及它属于谁。为此，有必要发布消息以及引用不同配置文件的推文所具有的“转发”和“我喜欢”的数量等信息。
- 经验：这种方法旨在告知发布推文的用户的参与度或专家程度，或者是因为它发布了大量消息、大量对其个人资料感兴趣的人、感兴趣的个人资料数量或对不同推文执行的“我喜欢”的数量。为此，所需的信息与用户的个人资料有关，其中用于此分析的相关数据对应于所述帐户的创建日期、推文数量、关注者数量、关注者数量和喜欢的数量归用户所有。
- Origin，它使用与用户位置相关的信息，这些信息是由他自己在创建帐户时输入的。这限制了获得有效的分析，因为位置以不同的格式甚至以不正确的方式呈现，并且因为它不是强制性信息，我们在没有定义他们的位置的情况下找到用户。
总而言之，图 1 显示了一个图表，其中包含在分析社交网络（如 Twitter）的用户配置文件中所需的要求和特征。
为了分析数据，从所选公司的网页中收集的不同推文被考虑在内íá米一种r吨一世n和和−C一种米一种r一种和吨一种一世.2011;小号和b一种s吨一世一种n一世一种nd和s你一世一世2006. 为每个配置文件提取与特征相关联的数据。使用实用工具 Qlik Sense Desktop 完成后续实施吨H一种吨你s和s吨H和一种ss这C一世一种吨一世v和d一种吨一种一世nd和X一世nG(问一世X)和nG一世n和(乙一种dr和吨一种一世.2018)以生成个性化和交互式可视化、仪表板、数据为目的，这反过来又试图回答以下研究问题：
- Twitter 用户在不同品牌中的表现如何？
- 网络上的意见如何影响公司的 Twitter 个人资料？
物理代写|复杂系统作业代写COMPLEX SYSTEMS代考|SOFTWARE ARCHITECTURE
为了实现和获取用户档案的分析结果，存在一个正确定义的软件架构至关重要，该架构允许从 Twitter 中提取和分析数据（Ikeda et al. 2013; Jansen et al. 2009; Nigam
拉弗蒂和麦卡勒姆 1999；塞巴斯蒂安尼 2002）。图 2 显示了基于 Twitter 提取的用于分析用户资料的数据的四层建议。
图 2 显示了由以下描述的四层流程组成的软件架构和工具的提议，每层都需要与不同任务和流程相关联的特定工具，例如：QVSource、Pentaho 和 Qlik Sense Desktop。
物理代写|复杂系统作业代写COMPLEX SYSTEMS代考|DATA ANALYSIS OF TWEET PROFILE
有架构获得F一世G.2允许实施从社交工具中提取的数据分析吨在一世吨吨和r，与客户体验的价值相关，通过
“用户档案”模型F一世G.1，其中 Qlik Sense Desktop 程序用作数据可视化工具。这种类型的解决方案具有很大的优势，即成本低，此外，它还具有特殊性，任何需要解决此模型以开发和优化其组织的人都可以使用它，而无需需要与商业智能领域的专家一起计算。
提议的解决方案符合商业智能模型的基本阶段，因为它提供了一个信息分析模型和不同的可视化，允许为公司提出的问题提供答案，从而根据相关信息做出最佳决策。
通过社交网络获取用户提供的信息对组织来说具有很高的价值和最重要的意义，因为人们正是通过社交网络公开与他们相关的主张、意见、经验或需求，这些信息对所有类型的实体都构成了有价值的信息希望与市场保持联系的人。
为了进行这种信息分析，作为一个例子的社交网络是 Twitter，因为它是最常用的网络之一，拥有大量的活跃用户。出于这个原因，选择这个网络来开发用户档案模型被认为是最合适和最理想的，主要是因为它的特殊特性是将短信限制在 280 个字符磷r一世是一种和吨一种一世.2019，并且由于 Twitter 提供的信息是公共访问的，允许您连接到该社交网络的 API 以获取所需信息的应用程序也是如此。
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