Shifting behaviour of users: Towards understanding the fundamental law of Social Networks
| dc.contributor.author | Gupta, Y. | |
| dc.contributor.author | Saini, J.S. | |
| dc.contributor.author | Sridhar, N. | |
| dc.contributor.author | Iyengar, S.R.S. | |
| dc.date.accessioned | 2026-02-06T06:39:12Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | Social Networking Sites (SNSs) are powerful marketing and communication tools. There are hundreds of SNSs that have entered and exited the market over time. The coexistence of multiple SNSs is a rarely observed phenomenon. Most coexisting SNSs either serve different purposes for its users or have cultural differences among them. The introduction of a new SNS with a better set of features can lead to the demise of an existing SNS, as observed in the transition from Orkut to Facebook. The paper proposes a model for analyzing the transition of users from one SNS to another, when a new SNS is introduced in the system. The game theoretic model proposed considers two major factors in determining the success of a new SNS. The first being time that an old SNS gets to stabilise. We study whether the time that a SNS like Facebook received to monopolize its reach had a distinguishable effect. The second factor is the set of features showcased by the new SNS. The results of the model are also experimentally verified with data collected by means of a survey. © 2016 IEEE. | |
| dc.identifier.citation | 2016 8th International Conference on Communication Systems and Networks, COMSNETS 2016, 2016, Vol., , p. - | |
| dc.identifier.uri | https://doi.org/10.1109/COMSNETS.2016.7439982 | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/32138 | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.subject | Cascading Pattern | |
| dc.subject | Diffusive Shift | |
| dc.subject | Game Theoretic Model | |
| dc.subject | Social Networking Sites | |
| dc.title | Shifting behaviour of users: Towards understanding the fundamental law of Social Networks |
