Dynamics of email communications among university students throughout a semester

Uddin, Shahadat; Jacobson, Michael J.

doi:10.1016/j.compedu.2013.01.014

Cited by 16 publications

(10 citation statements)

References 30 publications

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“…However, it has been used in organizational mining. The purpose of using NA methods in organizational mining is finding relationships among entities (e.g., process resources) and discovering possible bottlenecks to improve performance of the process [95], identifying influential resources in the process [37], [71], [77], [84] and discovering organizational structure [5]. We apply network analysis methods to overcome the problem of spaghetti models and discovering sequencing, selection, and parallelism structures.…”

Section: Network Analysis Applications In Process Miningmentioning

confidence: 99%

“…Such a combination was not presented before. The metrics and methods of network analysis (or social network analysis) have been used to identify the critical and influential resources in organizational mining (one of three process mining approaches) [37], [71], [77], [84]. Furthermore, recently, Appice has applied community detection methods to discover organizational structure [5].…”

Section: Introductionmentioning

confidence: 99%

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Motivations for Obtaining and Redeeming Coupons from a Coupon App: Customer Value Perspective

Esmaeili¹,

Golpayegani²

2021

J. theor. appl. electron. commer. res.

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Process mining in the context of information systems, which consists of information flows, has been one of the major research areas in the past decade. One of the most common objectives of process mining is the automated business process discovery. There are many challenges in the business process discovery, such as spaghetti models, same-name activities, and discovering loop structures. The researchers have presented a variety of methods that focus on one or more challenges. Due to the importance of commercial systems and the diversity of flows in them, in this research, the process mining problem in the context of social commerce systems is studied. Moreover, the research objective is to present a new method for commercial process discovery that has not been considered before. The proposed method is based on network analysis methods, multi-layered networks (networks with heterogeneous relations), and attributed networks. The results obtained from the proposed method are more precise and more comfortable to understand than the previous ones.

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Section: Network Analysis Applications In Process Miningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Motivations for Obtaining and Redeeming Coupons from a Coupon App: Customer Value Perspective

Esmaeili¹,

Golpayegani²

2021

J. theor. appl. electron. commer. res.

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“…If more than 10 percent of relations are based on the popularity, True as another value will add to set . Degree centrality is applied for measuring popularity [81]. The popular person has defined in a way that his/her degree centrality is among the top 10 percent ones.…”

Section: Structural Conformance Checker (Sf2)mentioning

confidence: 99%

Conformance Checking of the Activity Network with the Social Relationships Structure in the Context of Social Commerce

Esmaeili

Golpayegani

2020

J. theor. appl. electron. commer. res.

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Control and management of e-markets are one of the essential needs in social commerce context. Social commerce systems include not only informational flows, financial and goods/services but also social relationships and interactions. The focus of this research is to find the meaningful relationship between social relations and the network of various commercial flows among human resources (i.e., activity network) in social commerce context. If the activity network conforms with social relations, then business processes and, in general, the e-market can be steered by social relations. The proposed research framework has been constructed from a combination of process mining concepts, multi-layered network modeling, network analyzing, and social theories. Such a combination in the conformance checking field is an original contribution of this study, not yet explored. Two simulated sample datasets in four different versions are applied for the evaluation. Furthermore, Friedman's statistical test is employed to proof of the research hypothesis and gain more confidence in the obtained results. The results indicate that, despite the structural mismatch of the social network with the activity network, social relations affect the formation of business interactions among human resources. This effect is also different for various flow types. Multi-layered network modeling demonstrates this difference.

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“…As a result, it has made it easier for humans to realize their connections and interactions with each other. Email communication was chosen as the most useful and preferred tool for computer-mediated communication for being particularly expressive in a greater detail [1]. Enterprise organizations widely use email platform for various communication purposes such as scheduling tasks, issuing notices, submitting reports, data transfer, and other works, with significantly improved work efficiency.…”

Section: Introductionmentioning

confidence: 99%

Modeling the information propagation in an email communication network using an agent-based approach

Jiang

Wang

Yang

et al. 2014

Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation

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Development of Internet technology has made the use of email to be one of the predominant means of communication in the information society. Information exchange among people via email service has produced lots of communication data, which have been widely used in research about information propagation on virtual social networks. The focus of this paper is on the "Enron Email Dataset". The ideas discussed gave thorough consideration to the diversity of organizational positions' attributes, the dynamic behaviors of users to select information contents and communication partners via email service. We then established a quantitative analysis on the multiple interactive relationships of the email communication network. Further, an agent-based model for modeling the information diffusion in an organization via email communication network was proposed, by relating the microscopic individual behaviors and the macroscopic system evolution. Based on the simulation experiments, we analyzed and compared the topological characteristics and evaluative patterns of our model with the Enron Email Dataset. The experimental results proved that our model was beneficial to uncover the implicit communication mechanisms of a real organization.

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Dynamics of email communications among university students throughout a semester

Cited by 16 publications

References 30 publications

Motivations for Obtaining and Redeeming Coupons from a Coupon App: Customer Value Perspective

Motivations for Obtaining and Redeeming Coupons from a Coupon App: Customer Value Perspective

Conformance Checking of the Activity Network with the Social Relationships Structure in the Context of Social Commerce

Modeling the information propagation in an email communication network using an agent-based approach

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