Cohesive team selection based on a social network model

A method comprising:

• determining for each person in an organization, class membership probabilities for a plurality of classes and group membership probabilities for a plurality of groups, wherein the class membership probabilities are based on each person's number of incoming communications and outgoing communications, and wherein group membership probabilities are based on each person's ratio of incoming and outgoing communications to members of each of the plurality of groups to each person's total number of incoming and outgoing communications;
• determining, via a processor, an expected value of relationship strength between each pair of people in the organization based on respective group membership probabilities and respective class membership probabilities;
• and
• based on the expected value of relationship strength between each pair of people in the organization, forming a cohesive team of people from the organization selected for a communication task.

A method comprising:

• receiving for each person in an organization, a first value, of the comprising a first number of outgoing communications and a second value, of the comprising a second number of incoming communications;
• determining for each person in the organization, class membership probabilities for a plurality of classes and group membership probabilities for a plurality of groups, wherein the class membership probabilities are based on each person's number of incoming communications and outgoing communications, and wherein group membership probabilities are based on each person's distribution of interactions;
• determining, via processor, an expected an value of relationship strength between each pair of people in the organization based on respective group membership probabilities and respective class membership probabilities;
• and based on the expected value of relationship strength between each pair of people in the organization, forming a cohesive team of people from the organization selected for a communication task.

A method comprising:

• receiving, communication statistics associated incoming and outgoing communications for each person in an organization;
• determining for each person in an organization, class membership probabilities for a plurality of classes and group membership probabilities for a plurality of groups, wherein the class membership probabilities are based on each person's number of incoming communications and outgoing communications, and wherein group membership probabilities are based on each person's ratio of incoming and outgoing communications to members of each of the plurality of groups to each person's total number of incoming and outgoing communications;
• determining, via a processor, an expected value of relationship strength between each pair of people in the organization based on respective group membership probabilities and respective class membership probabilities;
• and
• based on the expected value of relationship strength between each pair of people in the organization, forming a cohesive team of people from the organization selected for a communication task.