DocumentCode :
592151
Title :
Measuring the Importance of Users in a Social Network Based on Email Communication Patterns
Author :
Lubarski, P. ; Morzy, M.
Author_Institution :
Inst. of Comput. Sci., Poznan Univ. of Technol., Poznan, Poland
fYear :
2012
fDate :
26-29 Aug. 2012
Firstpage :
86
Lastpage :
90
Abstract :
Email communication patterns have been long used to derive the underlying social network structure. By looking at who is talking to who and how often, the researchers have disclosed interesting patterns, hinting on social roles and importance of actors in such networks. Email communication analysis has been previously applied to discovering cliques and fraudulent activities (e.g. the Enron email network), to observe information dissemination patterns, and to identify key players in email communication networks. In this paper we are using a large dataset of email communication within a constrained community (i.e. the employees of a single institution) to discover the importance of employees in the underlying network. Contrary to previous attempts, though, we are scrutinizing the delays in answering emails. We base our method on a simple notion of implicit importance: people are more likely to quickly respond to emails sent by people who are being perceived as important. In the paper we propose several methods for building the social network from the email communication data and we introduce various weighting schemes. We aggregate the resulting rankings and compute differences between rankings to observe the stability of our method. We also compare the resulting rankings with an a priori assessment of employees´ importance to verify our method. The results of the conducted experiments clearly show the validity and robustness of the proposed method.
Keywords :
business communication; electronic mail; pattern recognition; social networking (online); Enron email network; clique activity discovery; constrained community; email answering; email communication analysis; email communication data; email communication network; email communication pattern; employee importance; fraudulent activity discovery; implicit importance; information dissemination pattern; single institution employees; social network structure; social roles; user importance measurement; weighting scheme; Communication networks; Delay; Educational institutions; Electronic mail; Humans; Queueing analysis; Social network services; communication; communication social network; email; ranking; social network analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-2497-7
Type :
conf
DOI :
10.1109/ASONAM.2012.24
Filename :
6425780
Link To Document :
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