The cocial construction of mobile telephony: an application of the social influence model to perceptions and uses of mobile phones within personal communication networks

2003 ◽  
Vol 70 (4) ◽  
pp. 317-334 ◽  
Author(s):  
Scott W. Campbell ◽  
Tracy C. Russo
Keyword(s):  
Social Influence ◽  
Communication Networks ◽  
Mobile Phones ◽  
Personal Communication ◽  
Mobile Telephony ◽  
Influence Model ◽  
Personal Communication Networks ◽  
The Social

Comparative Study on Spreading Codes

2017 ◽  
Vol MCSP2017 (01) ◽  
pp. 14-16
Author(s):  
Omprava Agasti ◽  
Sujatarani Raut ◽  
Shibashis Pradhan
Keyword(s):  
Communication Networks ◽  
Spread Spectrum ◽  
Cross Correlation ◽  
Additive White Gaussian Noise ◽  
Personal Communication ◽  
Spreading Codes ◽  
Personal Communication Networks ◽  
Transmission Data ◽  
Commercial Applications ◽  
Spread Spectrum Systems

In this paper, we studied on spreading code for wireless communication, their performance analysis, applications and its implementation. Spread-spectrum systems have found important commercial applications in CDMA cellular networks and wireless personal communication networks. Implementation is complex, mainly because spreading the baseband (by a factor that can be several orders of magnitude) forces the electronics to act and react accordingly, which, in turn, makes the spreading and dispreading operation necessary. In spread spectrum the transmission signal bandwidth is much higher than the information bandwidth. The signal occupies a bandwidth much larger than what is necessary to send the information in spread spectrum technology. CDMA uses unique spreading codes to spread the baseband data before transmission data. The performance of a CDMA system gets controlled by two types of interference, namely ISI and MAI which are the function of auto and cross correlation values of the spreading codes respectively. The existing codes using Additive White Gaussian Noise channel under multi-user has been compared with the Bit Error Rate(BER) performance.

INFLUENCE OF PERSONAL COMMUNICATION NETWORKS ON INNOVATION ADOPTION — USING MULTI-AGENT SIMULATIONS TO PROJECT THE LAUNCH OF AN INNOVATIVE MEDICAL DEVICE

2013 ◽  
Vol 10 (05) ◽  
pp. 1340021 ◽  
Author(s):  
CHRISTIAN BARROT ◽  
JAN KUHLMANN ◽  
ANDREA POPA
Keyword(s):  
Medical Device ◽  
Interpersonal Communication ◽  
Communication Networks ◽  
Personal Communication ◽  
Market Penetration ◽  
Modeling Framework ◽  
Communication Processes ◽  
The Social ◽  
The Us ◽  
Multi Agent

Adoption processes are often heavily influenced by interpersonal communication. Marketing managers are increasingly trying to use these relationships to foster the market penetration of their products. In an empirical study of the US market for an innovative medical device, we survey the social network of (mostly chief) anesthetists from 151 hospitals. We confirm the influences from personal communication on individual adoption decisions through hazard regressions. We then use a multi-agent modeling framework trying to identify what seeding strategies would have been optimal to achieve a fast market penetration, i.e. which and how many anesthetists should be selected to initiate personal communication processes.

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