TITLE:
Connecting Productivity with Social Capital via Daily Mobile Phone Logs
AUTHORS:
B. Padmaja, V. V. Rama Prasad, K. V. N. Sunitha
KEYWORDS:
Reality Mining, Social Network Analysis (SNA), Social Capital
JOURNAL NAME:
Social Networking,
Vol.5 No.2,
April
21,
2016
ABSTRACT: Human behavior and their social interactions can be quantified and modeled with the use of smart
phones and any wearable badges which senses and captures real-life interactions. In traditional
social sciences, such information was gathered by conducting surveys. However in digital era,
smart phones are regarded as a popular tool which automatically senses much human information
to quantify our lives. Reality mining gives a clear picture of a human being and its social relations.
Social Network Analysis (SNA) is a powerful research tool which provides a comprehensive analysis
on ego-alters communications with their individual productivity within a community. In this
paper, various popular measures of social network analysis have used to study a closed community
through their mobile call logs for a period of time. We experimented various social network
measures both on daily basis and also over a period of time. The pattern shows that the relationships
and interaction between ego-alter ties have more productive benefits. Using Pearsoncorrelation
analysis, we observed that significant (positive) correlation exists between various
network properties and their productivity. Results showed that degree (size) has the strongest
positive correlation with average productivity, followed by effective size, efficiency, constraint,
hierarchy, and k-core of an individual. Density and betweenness centrality have a weak, negative
correlation with productivity. Hence social capital has a significant influence on human productivity.