Abstract:
Today's world is a place where innovation is the norm and technology transforms
everything. Today's society like everything else is transformed by technology in a
way previously Unthought -of Old methods of communicating in social circles have
been redefined over the web as web based social networks.
Although work has been done on many areas of social networking on the web, as yet
no research has attempted to find out what actually influences people to socialize over
the internet on these vastly popular new genres of web sites.
Using data collected from 357 randomly selected participants from Sri Lankan
regional network on Face book, this research attempts to find what factors influence
the use of these social networking sites, whilst trying to define and model the
relationships so that site builders and society alike can benefit from the results. For
the purposes of this research we define use of social network as peer to peer
interaction on these websites.
Some of the factors uncovered during the initial pilot studies and literature review are
time spent by users on Face book average level of trust in the network, the
completeness of a users profile, the level of ethics as expected by the user, the
number of friends of the user, the user's emotional bond with Face book, prior offline
contacts of the user, new online contacts that user acquires through Face book, the
user's perception of critical mass of friends and the usefulness of information tools.
The results of the research have shown that these factors in isolation of one another
influences the usage of Face book. Furthermore the results of the research indicate
these factors can be reduced to just five factors that influence use of social networks
when their collective effect is considered rather taking each factor in isolation. These
five factors in order of importance are completeness of a person's profile, the user's
perception of critical mass of friends, the number of friends in a person's network, the
time spent by the user on Face book and the prior offline contacts of the user.
As a result of this research, a model has been developed that takes into consideration
the above five factors. This model can be used forecast use of Face book based on the
five factors identified above.
