Analysis of Enterprise Social Media Intelligence Acquisition Based on Data Crawler Technology

2021 ◽  
Vol 11 (2) ◽  
pp. 3-23
Author(s):  
Lehe Yu ◽  
Zhengxiu Gui
Keyword(s):  
Social Media ◽  
Social Network ◽  
Spatial Clustering ◽  
Web Content ◽  
Enterprise Social Media ◽  
Intelligence System ◽  
Effective Implementation ◽  
Tree Construction ◽  
Dom Tree ◽  
Text Content

Abstract There are generally hundreds of millions of nodes in social media, and they are connected to a huge social network through attention and fan relationships. The news is spread through this huge social network. This paper studies the acquisition technology of social media topic data and enterprise data. The topic positioning technology based on Sina meta search and topic related keywords is introduced, and the crawling efficiency of topic crawlers is analyzed. Aiming at the factors of diverse and variable webpage structure on the Internet, this paper proposes a new Web information extraction algorithm by studying the general laws existing in the webpage structure, combining DOM (Document Object Model) tree and DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm. Several links in the algorithm are introduced in detail, including Web page processing, DOM tree construction, segmented text content acquisition, and web content extraction based on the DBSCAN algorithm. The simulation results show that the intelligence culture, intelligence system, technology platform and intelligence organization ecological collaboration strategy under the extraction of DOM tree and DBSCAN information can improve the level of intelligence participation of all employees. There is a significant positive correlation between the level of participation and the level of the intelligence environment of all employees. According to the research results, the DOM tree and DBSCAN information proposed in this paper can extract the enterprise’s employee intelligence and the effective implementation of relevant collaborative strategies, which can provide guidance for the effective implementation of the employee intelligence.

Impact of task characteristics on employee agility: the moderating effect of enterprise social media visibility

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mengyi Zhu ◽  
Yuan Sun ◽  
Anand Jeyaraj ◽  
Jie Hao
Keyword(s):  
Social Media ◽  
Social Network ◽  
Task Complexity ◽  
Task Interdependence ◽  
Task Characteristics ◽  
Network Ties ◽  
Content Type ◽  
Enterprise Social Media ◽  
Social Network Ties ◽  
And Task

PurposeThis study aims to explore whether and how task characteristics affect employee agility in the context of enterprise social media (ESM).Design/methodology/approachAdopting the social network ties perspective, this study examines how task characteristics (i.e. task complexity, task interdependence and task non-routineness) affect employee agility by promoting their social network ties (i.e. instrumental ties and expressive ties) and how ESM visibility moderates their relationships. Data gathered from 341 ESM users in workplaces were analyzed using Smart-PLS 3.2.FindingsFirst, task complexity, task interdependence and task non-routineness have positive effects on instrumental and expressive ties, which in turn influences agility; Second, instrumental ties have a stronger effect on employee agility relative to expressive ties; Finally, ESM visibility positively moderates the effects of task complexity and task non-routineness on social network ties.Practical implicationsThe findings provide guidance for organizational managers on how to use task characteristics and ESM to improve employee agility, as well as insights for social media designers to optimize ESM functions to improve agility.Originality/valueThis study provides empirical evidence to explain the roles of task characteristics and social network ties in influencing employee agility, thus clarifying the inconsistent findings in extant research. The moderating effects of ESM visibility on the relationships between task characteristics and social network ties are also examined, thus providing further insights on the positive role of ESM in organizations.

scholarly journals How do enterprise social media affordances affect social network ties and job performance?

2019 ◽  
Vol 33 (1) ◽  
pp. 361-388 ◽  
Author(s):  
Xiayu Chen ◽  
Shaobo Wei ◽  
Robert M. Davison ◽  
Ronald E. Rice
Keyword(s):  
Social Media ◽  
Social Network ◽  
Job Performance ◽  
Organizational Performance ◽  
Network Ties ◽  
Theoretical Understanding ◽  
Content Type ◽  
Enterprise Social Media ◽  
Social Network Ties ◽  
The Impact

Purpose The purpose of this paper is to investigate how four enterprise social media (ESM) affordances (visibility, association, editability and persistence) affect social network ties (instrumental and expressive), which, in turn, influence the in-role and innovative job performance of employees. Design/methodology/approach A survey of 251 ESM users in the workplace in China was conducted. Findings All four affordances are positively associated with instrumental ties, yet only the association and editability affordances are positively related to expressive ties. Although instrumental and expressive ties are positively related to in-role and innovative job performance, instrumental ties exert stronger effects on in-role job performance, whereas expressive ties show stronger effects on innovative job performance. Research limitations/implications First, additional relevant affordances should be included in an expanded model. Second, future research could examine how patterns of affordances use (unrelated, or hierarchically or sequentially related) affect organizational network ties. Third, there are likely (many) other exogenous factors affecting the model’s relationships. Fourth, the data collected are self-reported. Practical implications This study advances the theoretical understanding of the role of ESM affordances in the workplace, especially through their influences on network ties. The findings can guide organizations on how to emphasize ESM affordances to foster instrumental and expressive ties to improve the job performance of employees. Originality/value First, it provides novel views on affordance theory in ESM contexts by empirically testing four central affordances, thereby further providing preliminary evidence for prior theoretical propositions by confirming that social media affordances might be associated with or influence relational ties. Second, the study integrates an affordance lens and a social network perspective to investigate employees’ perceived performance behavior. Including social network ties can offer a more detailed understanding of the underlying processes of how ESM affordances can and do affect job performance. Third, it supports the validity of distinguishing instrumental and expressive ties in ESM contexts, thus offering a possible explanation for the inconsistencies in prior research on the impact of social networks on employee outcomes. Finally, it also shows how two kinds of organizational performance (in-role and innovative) are somewhat differentially influenced by affordances and network ties.

Identifying target audience on enterprise social network

2019 ◽  
Vol 119 (1) ◽  
pp. 111-128 ◽  
Author(s):  
Jianhong Luo ◽  
Xuwei Pan ◽  
Shixiong Wang ◽  
Yujing Huang
Keyword(s):  
Social Media ◽  
Social Network ◽  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Information Service ◽  
Target Audience ◽  
Business Practices ◽  
Content Type ◽  
Enterprise Social Media ◽  
Enterprise Social Network

Purpose Delivering messages and information to potentially interested users is one of the distinguishing applications of online enterprise social network (ESN). The purpose of this paper is to provide insights to better understand the repost preferences of users and provide personalized information service in enterprise social media marketing. Design/methodology/approach It is accomplished by constructing a target audience identification framework. Repost preference latent Dirichlet allocation (RPLDA) topic model topic model is proposed to understand the mass user online repost preferences toward different contents. A topic-oriented preference metric is proposed to measure the preference degree of individual users. And the function of reposting forecasting is formulated to identify target audience. Findings The empirical research shows the following: a total of 20 percent of the repost users in ESN represent the key active users who are particularly interested in the latent topic of messages in ESN and fits Pareto distribution; and the target audience identification framework can successfully identify different target key users for messages with different latent topics. Practical implications The findings should motivate marketing managers to improve enterprise brand by identifying key target audience in ESN and marketing in a way that truthfully reflects personalized preferences. Originality/value This study runs counter to most current business practices, which tend to use simple popularity to seek important users. Adaptively and dynamically identifying target audience appears to have considerable potential, especially in the rapidly growing area of enterprise social media information service.

scholarly journals Swearwords reinterpreted

Pragmatics ◽  
2020 ◽  
Vol 30 (3) ◽  
pp. 381-404
Author(s):  
Bin Li ◽  
Yan Dou ◽  
Yingting Cui ◽  
Yuqi Sheng
Keyword(s):  
Social Media ◽  
Social Network ◽  
The Internet ◽  
Speech Community ◽  
Web Content ◽  
Linguistic Features ◽  
Social Network Site ◽  
Network Site ◽  
Chinese Social Media ◽  
Internet And Social Media

Abstract Swearwords are common on the Internet nowadays. In addition to traditional forms and functions, new features and uses have been created as disguises and hedges, or even as deviants from insults. Focusing on the ‘new swearwords’ prevalent in Chinese social media, we identified the most commonly used novel swearwords developed and favoured by the young Chinese netizens, and analysed their linguistic features and uses on a Chinese social network site. We discovered that certain swearwords have undergone linguistic transformation to take up new grammatical and pragmatic functions. The invention and prevalence of these new swearwords raise interesting points on the roles played by the Internet and social media in bringing netizens together and in enabling them to create web content in their speech community.

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

ANALISIS PERINGKAT TOP BRAND OJEK ONLINE MENGGUNAKAN JEJARING SOSIAL PERCAKAPAN TWITTER

2019 ◽  
Vol 24 (2) ◽  
pp. 88-104
Author(s):  
Ilham Aminudin ◽  
Dyah Anggraini
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Path Length ◽  
Average Path Length ◽  
Average Degree ◽  
Clustering Coefficient ◽  
R Programming

Banyak bisnis mulai muncul dengan melibatkan pengembangan teknologi internet. Salah satunya adalah bisnis di aplikasi berbasis penyedia layanan di bidang moda transportasi berbasis online yang ternyata dapat memberikan solusi dan menjawab berbagai kekhawatiran publik tentang layanan transportasi umum. Kemacetan lalu lintas di kota-kota besar dan ketegangan publik dengan keamanan transportasi umum diselesaikan dengan adanya aplikasi transportasi online seperti Grab dan Gojek yang memberikan kemudahan dan kenyamanan bagi penggunanya Penelitian ini dilakukan untuk menganalisa keaktifan percakapan brand jasa transportasi online di jejaring sosial Twitter berdasarkan properti jaringan. Penelitian dilakukan dengan dengan mengambil data dari percakapan pengguna di social media Twitter dengan cara crawling menggunakan Bahasa pemrograman R programming dan software R Studio dan pembuatan model jaringan dengan software Gephy. Setelah itu data dianalisis menggunakan metode social network analysis yang terdiri berdasarkan properti jaringan yaitu size, density, modularity, diameter, average degree, average path length, dan clustering coefficient dan nantinya hasil analisis akan dibandingkan dari setiap properti jaringan kedua brand jasa transportasi Online dan ditentukan strategi dalam meningkatkan dan mempertahankan keaktifan serta tingkat kehadiran brand jasa transportasi online, Grab dan Gojek.

New Democracy in Digital Era through Social Media and News Online

Humaniora ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 13
Author(s):  
Abitassha Az Zahra ◽  
Eko Priyo Purnomo ◽  
Aulia Nur Kasiwi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Communication Networks ◽  
Social Communication ◽  
Development Policy ◽  
Online News ◽  
Digital Era ◽  
The Social ◽  
New Democracy

The research aimed to explain the pattern of social communication on the issue of rejection of the PLTU Batang development policy. It used data on Twitter accounts involved in the rejection of the PLTU Batang development policy. In analyzing existing data, qualitative methods and social analysis networks were used. To see social networks in the rejection of the PLTU Batang development policy, the research used the NodeXL application to find out the patterns of social communication networks in #TolakPLTUBatang. From the results, it can be seen that in the dissemination of social networking information, the @praditya_wibby account is the most central account in the social network and has a strong influence on the social network. The @praditya_wibby account has a role in moving the community through Twitter to make a critical social movement. This means that in the current digital era, democracy enters a new form through the movement of public opinion delivery through social media. Besides, by encouraging the role of online news, the distribution of information becomes faster to form new perceptions of an issue. This is evident from the correlation network where the @praditya_wibby account has correlations with several compass online media accounts, tirto.id, okezonenews, vice, antaranews, BBCIndonesia, and CNN Indonesia.

Measuring Relevant Information in Health Social Network Conversations and Clinical Diagnosis Cases (Preprint)

2018 ◽  
Author(s):  
Albert Moreira ◽  
Raul Alonso-Calvo ◽  
Alberto Muñoz ◽  
Jose Crespo
Keyword(s):  
Social Media ◽  
Social Network ◽  
Relevant Information ◽  
Online Discussions ◽  
Biomedical Knowledge ◽  
Expert Opinions ◽  
Health Related ◽  
Health Social Network ◽  
Discussion System ◽  
Clinical Cases

BACKGROUND Internet and Social media is an enormous source of information. Health Social Networks and online collaborative environments enable users to create shared content that afterwards can be discussed. While social media discussions for health related matters constitute a potential source of knowledge, characterizing the relevance of participations from different users is a challenging task. OBJECTIVE The aim of this paper is to present a methodology designed for quantifying relevant information provided by different participants in clinical online discussions. METHODS A set of key indicators for different aspects of clinical conversations and specific clinical contributions within a discussion have been defined. These indicators make use of biomedical knowledge extraction based on standard terminologies and ontologies. These indicators allow measuring the relevance of information of each participant of the clinical conversation. RESULTS Proposed indicators have been applied to two discussions extracted from PatientsLikeMe, as well as to two real clinical cases from the Sanar collaborative discussion system. Results obtained from indicators in the tested cases have been compared with clinical expert opinions to check indicators validity. CONCLUSIONS The methodology has been successfully used for describing participant interactions in real clinical cases belonging to a collaborative clinical case discussion tool and from a conversation from a Health Social Network.

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