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Link Analysis 337<br />

There are many approaches to defining the target set of customers. The company<br />

could effectively use neighborhood demographics, household surveys,<br />

estimates of computer ownership by zip code, and similar data. Although this<br />

data improves the definition of a market segment, it is still far from identifying<br />

individual customers with particular needs. A team, including one of the<br />

authors, suggested that the ability to find residential fax machine usage would<br />

improve this marketing effort, since fax machines are often (but not always)<br />

used for business purposes. Knowing who uses a fax machine would help target<br />

the work-at-home package to a very well-defined market segment, and<br />

this segment should have a better response rate than a segment defined by less<br />

precise segmentation techniques based on statistical properties.<br />

Customers with fax machines offer other opportunities as well. Customers<br />

that are sending and receiving faxes should have at least two lines—if they<br />

only have one, there is an opportunity to sell them a second line. To provide<br />

better customer service, the customers who use faxes on a line with call waiting<br />

should know how to turn off call waiting to avoid annoying interruptions<br />

on fax transmissions. There are other possibilities as well: perhaps owners of<br />

fax machines would prefer receiving their monthly bills by fax instead of by<br />

mail, saving both postage and printing costs. In short, being able to identify<br />

who is sending or receiving faxes from home is valuable information that provides<br />

opportunities for increasing revenues, reducing costs, and increasing<br />

customer satisfaction.<br />

The Data as a Graph<br />

The raw data used for this analysis was composed of selected fields from the<br />

call detail data fed into the billing system to generate monthly bills. Each<br />

record contains 80 bytes of data, with information such as:<br />

■■<br />

■■<br />

■■<br />

■■<br />

■■<br />

■■<br />

■■<br />

The 10-digit telephone number that originated the call, three digits for<br />

the area code, three digits for the exchange, and four digits for the line<br />

The 10-digit telephone number of the line where the call terminated<br />

The 10-digit telephone number of the line being billed for the call<br />

The date and time of the call<br />

The duration of the call<br />

The day of the week when the call was placed<br />

Whether the call was placed at a pay phone<br />

In the graph in Figure 10.8, the data has been narrowed to just three fields:<br />

duration, originating number, and terminating number. The telephone numbers<br />

are the nodes of the graph, and the calls themselves are the edges, weighted by<br />

the duration of the calls. A sample of telephone calls is shown in Table 10.1.

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