An abbreviated version of the MIT Reality Commons Social Evolution dataset, spanning a reduced time period and with fewer variables. Dyadic variables include binary friendships at time of survey, and time-stamped phone call occurrences. Individual variables include the floor of the dormitory on which the student resides, and the grade type of each student including freshmen, sophomore, junior, senior, or graduate tutors.

data(Social_Evolution)

actors

calls

friendship

Format

3 dataframes: actors (84 rows, 4 columns), calls (439 rows, 4 columns), friendship (766 rows, 4 columns). See below for variables and formats.

ObjectDescriptionFormat
actors$labelActor identifier labelscharacter
actors$presentActor present in datasetboolean
actors$floorFloor of residence actor lives onnumeric (1-9)
actors$gradeTypeDegree levelnumeric (1-5)
calls$timeTime and date of callnumeric from POSIXct
calls$senderInitiator of phone callcharacter
calls$receiverRecipient of phone callcharacter
calls$incrementIndicates call number increment (all 1s)numeric (1)
friendship$timeTime and date of friend nominationnumeric from POSIXct
friendship$senderNominator of friendshipcharacter
friendship$receiverNominee of friendshipcharacter
friendship$replaceIndicates friendship value at $timenumeric

An object of class data.frame with 84 rows and 4 columns.

An object of class data.frame with 439 rows and 4 columns.

An object of class data.frame with 766 rows and 4 columns.

References

A. Madan, M. Cebrian, S. Moturu, K. Farrahi, A. Pentland (2012). Sensing the 'Health State' of a Community. Pervasive Computing. 11, 4, pp. 36-45. doi:10.1109/MPRV.2011.79 .