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Successful Promotion on the Web
Published in Tom Hutchison, Paul Allen, Web Marketing for the Music Business, 2013
It is important to inform people that by providing an email address, they will be receiving periodic updates—in the form of an email—about the artist. In this era of spamming, it is important to provide recipients of the email newsletter with the opportunity to unsubscribe to the email list. Spamming is the activity of sending out unsolicited commercial emails. It is the online equivalent of telemarketing. Fans who provide their email addresses should be told that by providing this information, they will be receiving correspondence—the specifics of which should be spelled out. You should never sell or offer your email lists to third parties. The addresses should be kept confidential and care should be taken when sending out bulk emails that the addresses of other recipients are not visible and available to any of the recipients. In the absence of specialized software for managing email lists, you can always send the email correspondence to yourself and blind copy (BCC) the message to those on the list. By using this commonly found email function, the addresses of the other recipients are not visible in the message heading.
Modeling and Change Detection for Count-Weighted Multilayer Networks
Published in Technometrics, 2020
Hang Dong, Nan Chen, Kaibo Wang
In real-world applications, the interactions are sometimes directional and include other quantitative information. For example, there are senders and recipients for phone calls, text messages, and E-mails indicating the contact direction from sender to recipient; the activities in online social networks such as “mention” and “following” are also directional. When these interactions are aggregated at some specific time scale, we get a directed weighted network with the edge weights representing the frequency or intensity of the interactions. For example, Figure 1 shows a two-layer network of E-mails among 13 employees of Enron Corporation. The first layer represents the ordinarily sent E-mails, and the second layer represents the carbon copy/blind carbon copy (cc/bcc) E-mails. Each edge represents the E-mails from the sender to the receiver using cc/bcc, with the weight (expressed through edge width in the figure) representing the frequency of such E-mails. It is obvious that the interaction patterns of these two layers are similar but have layer-specific features as well. It is clear from this figure that the directed weighted version of a social network contains richer information than the undirected binary representation (Gao et al. 2017), and could help us better understand the underlying behavior of a network. Therefore, multilayer network models are required to capture the layer-specific information as well as the correlations among different layers for this kind of interaction data.