Collective Intelligence: Team Analysis

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Chapter 1


Team building preparation begins with an understanding of how people are capa- ble of performing a task individually.Explaining personal working style to the other

members of a team is the first step in preparing to become a member of a team.

An individual may be capable of performing one or more skilled tasks with some

expertise level.Successful collaboration requires creation of a system for the team to

deal with conflicts.We are calling this factor as trust.We are managing this factor by

the technique named as Collective Intelligence. This system depends on the rating

given by a employee to another employee for a particular task assigned and expertise

level of an employee for one or more skills.We are measuring
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1.1.1 Team Formation Problem

We can define the problem as :

Set of experts is to be find for a given particular task so that team formed can per- form the particular task collectively and effectively be covering required skills.Here

we have to identify a relevent set of experts for a given task and which is not practi- cally straightforward.There are basically two factors which participate in competence

of a team in an enterprise based network-
I) Knowledge competence

II) Collaboration competence

Formal definition of problem:

Given an expertise social network G, a set of experts X and a generalized task Tr

, the problem of team formation for the generalized task Tr is to find a subset of

experts X

1) for every required skill sm , the requisite number of experts ReqT r (sm ) are as- signed to the team;

2) all of the required skills in the given task should be accomplished by the team;

3) the collective intelligence index (CII) of the team, defined as the linear com- bination of the expertise score and trust-based collaboration score of the team, is



(where X0 ⊆X)forTr such that:

1.2 Collective Inelligence

Collective intelligence is group of individuals doing things collectively that seem
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Chapter 2

The Hypothesis

2.1 Input

We gathered an interaction log from an enterprise in which each expert rates other

experts who worked on same project in past years.

interaction log can be defined as a tuple:

{Ik , Ei

, SE i , Ej

whereIk is ineraction log index

Ei and Ej are employees of an enterprise

SE i and SE j are skills of Ei and Ej respectively

vij and vj i are ratings given by Ei to Ej and by Ej to Ei respectively for a task Tr

and θ days ago.

Another input will be number of experts required for each skill. for each skill

sm ⊆ S we need ReqT r(sm)

, SE j , vij , vj i , Tr ,θ}

2.2 Approach

We will try to maximize the collective intelligence index(CII) on the basis of these

two factors :


→ Knowledge Competence :based on expertise and strength of connectivity

→ Collaboration Competence : based on mutual trust on each other.

Approach in few steps :

→ First we are trying to compute expertise score of an individual ξi

→ Strength of connectitivity scij

→ Modified Strength of connectitivity scij is calculated between expert Ei and

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