Ifad Country Managers Net Work Shop

Patti Anklam 2009

IFAD Asia DivisionNet Work and Network

Analysis

Patti Anklam

July 24, 2009

A NetWorkShop

Patti Anklam 2009 2

Agenda

Time Goal

9:00 – 9:15 Introductions & Goals

9:15 – 10:00 Personal networks and their role in network development

10:00 – 10:15 Break10:15 – 11:00 Overview of Networks and Net Work

11:00 – 12:00 IFAD Asia Division Network Analysis

12:00 – 12:30 Action planning: Sustaining the Network

Patti Anklam 2009 3

Goals

� Share Net Work thinking – why networks are important

� Show the dynamics of network growth� Illustrate your personal networks and the role they

play in the work of IFAD� Present the “current state” IFAD Asia Division

network � Action planning – what steps can you take?

Patti Anklam 2009

About Networks

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Networking is about making and leveraging personal connections

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Net Work is about identifying, creating, and sustaining networks

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What is a network?

� “An interwoven or interrelated number of things…”

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History of the Network Perspective

� New York Times, April 3, 1933

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1967: Six Degrees of Separation

Stanley Milgram, Yale University

OmahaBoston

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The new science of networks

� Beginning in the 1990’s computer science made it possible to map and analyze large networks

� Beginning in 2002-2003, the network insights started to become accessible


BusinessWeek, February 27, 2006


What we learned from the science

� Networks can be drawn� Relationships (ties) among people (nodes) can be

analyzed:� Counted, summed, averaged� Grouped, segmented

� Patterns matter

11%2.581


Science gave proof to instinct: Networks Matter

� At work:� High performers have better networks� People with better networks stay in their jobs longer� Network-savvy managers are more likely to be

promoted� People with higher

social capital coordinate projectsmore effectively


Science gave proof to instinct: Networks Matter

� In life:� People with strong networks have a better chance of

full recovery from heart attacks� We are defined by the networks we are in

� Obesity studies� Smokers

New York Times,, May 22, 2008


How do we start to look at networks?

� Nodes� Ties (links)

� Connected� Directional

� Triangles� Open

� Closed


Different network views

� Personal networks� Does my personal network fulfill the different aspects of

myself (emotional, learning, mission, career)� Is my network diverse enough so that I can learn from and

access talents and resources that I may need?

� Organizational networks� Are the right people connected?� Are there gaps between organizational groups?� Who are the people who move knowledge through the

network? Are they being acknowledged for this?

Patti Anklam 2009

Personal Networks


Personal Networks

� Your family, friends, neighborhood communities� Business groups and organizations you belong to� The individuals you have ties to� The people your ties are connected to


Types of ties

� Strong ties: � Close, frequent� Reciprocal

� Weak ties� Infrequent interaction� No emotional connection

� Absent ties� No personal connection beyond “nodding”

Dunbar’s number: 150


Personal Network Mapping Exercise

Individual’s NameRelationship to You

Personal/Friendship

Professional / Informational

Joint ProjectCount


Exercise: Mapping Your Personal Network


Views of the personal network

� Leader� Sponsor

� Leader

� Core member� Active participant

� Peripheral member

Position

Composition

Role(s)


Go back to your list

� Location diversity:� How many of the people are in your local workgroup (IFAD

Rome)?� How many of the people are IFAD in other locations?� How many non-IFAD?

� Topic diversity:� How many of these people share your skills and expertise?� How many are in different fields from yours?

� Strength diversity:� How many strong vs weak ties?


The sum of your personal networks…

� Contributes to the overall success of IFAD� Asia Division� Overall

� How can you leverage your weak ties and bring them into the network?


Personal net work activities

� Create and sustaining relationships� Asking for help� Helping when asked� Creating ties and links – making introductions� What are the ways that you sustain your relationships?

� Purposeful maintenance� Looking for effective structure� Watching for diversity (beyond the current group)� Balance strong ties and weak ties

Patti Anklam 2009

Organizational Networks


Different network views

� Personal networks� Does my personal network fulfill the different aspects of

myself (emotional, learning, mission, career)� Is my network diverse enough so that I can learn from and

access talents and resources that I may need?

� Organizational networks� Is the network “sufficiently” connected?� Are the right people connected?� Are there gaps between organizational groups?� Who are the people who move knowledge through the

network? Are they being acknowledged for this?


Organizational networks

� Formal� Often centralized or hierarchical� Fixed relationships� Defined patterns of

information flow

� Informal� “How work gets done” (bypasses

structure)� Fluid relationships� Patterns of information flow are

defined by individuals’ ties


Network analysis helps map the differences

Formal Informal


Social Network Analysis

� Can map many dimensions of relationships:

•Work together •Trust each other

•Seek advice from •Support

•Friendship •Communication

� For IFAD, we looked at:

•Communication (interactions)

•Knowledge (of each others’ talent & experience)•Opportunity (that increased communication would offer)


Social Network Analysis Prompts Questions

� It lets us look at patterns:� Are certain people overly central?� Are some people loosely connect and therefore under-

utilized?� Are there divisive subgroups?� Is the network’s level of connection sufficient?� Are we acknowledging the work of the connectors?

� So as to improve:� Business problems caused by lack of flow of knowledge� Effectiveness of interactions among people in the

organization


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Methodology

� Have a business goal� Understand the context

� Collect data� Surveys� Interviews� Web & email statistics

� Analysis� Visual� Mathematical

� Interpretation� Action •Colors indicate geographic regions

•#25 is the network leader•#14 is due to retire next year


SNA Reveals: Network Structure

Heterarchy: TeamsHub and Spoke: Starting Context

Core/Periphery: Healthy End State

Random Connections: Discoverable

Hierarchy: Command and Control

Stovepipes


SNA Reveals: Network maturity

Scattered Clusters

Multi-hub Small WorldSource: Valdis Krebs

Core/Periphery

Hub & Spoke


SNA Reveals: Patterns for different types of work

Functional Need Effective Network Pattern

Complex knowledge transfer (teams)Strong tiesPeople aware of each other’s knowledge

Simple knowledge transferWeak ties are sufficient

Simple coordinationHub and spoke network

Transformation, change managementStrong ties from the hub to central connectors in sub-networks

Complex coordinationDense, de-centralized network

InnovationExtensive weak ties to diverse groups

Public good, field & policy networksStrong and multiple ties to diverse groups

Patti Anklam 2009

ENRAP Knowledge NetworkOrganizational Network Analysis

November 2008


Topics

� Responses (50 of 73 people surveyed)� Demographics of respondents

� Perspectives on knowledge sharing� Means of communication� Value of the ENRAP network

� Network relationship questions� By country, group, and interactions

� Personal network statistics


Responses by Role

Group Surveyed Responded Percentage

Country Teams 18 14 77.77%

CPMs 12 9 75.00%

ENRAP PCU 2 2 100.00%

IFAD HQ 5 4 80.00%

IFAD Project staff 35 20 58.82%

Totals 72 50 69.4%


Responses by Country

Country/Group # Surveyed #Responded Percent

Afghanistan 1 1 100%Bangladesh 4 3 75%Cambodia and Indonesia 6 5 83%China 6 4 67%Fiji and Pacific Islands 4 3 75%IDRC 2 2 100%IFAD 4 3 75%India 9 6 67%Iran 2 2 100%Lao PDR 3 2 67%Mongolia and Maldives 3 1 33%Nepal and Bhutan 6 6 100%Pakistan and Kyrgztan 6 3 50%Philippines and Sri Lanka 12 6 50%Vietnam 4 3 75%


Respondent demographics: Primary Languages

� 20% of respondents list English as a primary language

� 97% of respondents indicate English as a language competency

Languages with 2 or more native speakers:

Other Languages Represented

Cebuano, Czech, Dzongkha, Farsi, Azari, Fijan, Fiji Hindi, Finnish, Hriam Tong (A Tribal Dialect), Indonesian, Japanese, Khmer, Manipuri, Mao( Mother Tongue), Mongolian, Oriya, Pashtu, Punjabi, Russian, Singhalese, Sinhala, Slovak, Spanish, Swedish, Tagalog, Thai, Turkish, Urdu

Patti Anklam 2009

Perspectives on knowledge sharing


How people communicate

Use6 = Daily5 = Weekly4 = Monthly3 = few times/year2 = Yearly or less1 =Never


How people value the IFAD Asia Division network

Range7 = Strongly agree6 = Agree5 = Somewhat agree4 = Neutral3 = Somewhat disagree2 = Disagree1 = Strongly disagree


How people value the ENRAP networkBy country and by role

Range7 = Strongly agree6 = Agree5 = Somewhat agree4 = Neutral3 = Somewhat disagree2 = Disagree1 = Strongly disagree


Views of the Network Maps and Metrics


Looking at maps

� Reminder of goal of this SNA:� Establish a baseline of existing relationships among IFAD

program staff across country boundaries� So as to be able to measure progress in a year’s time

� Maps are drawn from incomplete data� The data is a snapshot in time� We show relationships between people even if only one of

those people actually answered the survey

� The additional opportunity is to look for insights about how to further enhance the knowledge network


Metrics Terminology – Baseline Measures

� Baseline Group Measures� Density – Robustness of network (group measure)

� Number of connections that exist in the group out of 100% possible in that network

� General level of linkage. More points connected means quicker and more accurate information flow

� Distance (Cohesion) – Ease with which people can connect� Distance is the shortest path between two people.

Lee--->Ted = 2 NOT 3

Lee

Bob

Ted

Ann

Sue

Al


Metrics Terminology – Individual Measures

� Centrality (Individual measures)� In-degree

� Actual number of direct connections that individuals have with others in the group or average among a group (in-degree)

� Betweenness� Individuals who have more ties to others may be in more

advantaged positions; they may have access to more of the information or knowledge in the network


Network Relationship Questions

� Interactions: How frequently people interact across this network� Used to get a sense of how knowledge is flowing across

the network� Also shows “who doesn’t know whom”

� Knowledge:” How well do people understand the skills and knowledge of others� Helps to show whether more work is needed to make

introductions, make people aware of each other

� Opportunity: How much increased communication with specific individuals can enhance effectiveness


Demographics

� Maps use color coding to denote countries (with some country areas combined)

� We use the software to remove or show specific roles, identified as:� Country Program Managers (CPMs)� Country Teams� IFAD Project staff (in the field)� IFAD Asia-Pacific Division Staff� IDRC Staff


Results Selection

� From potentially thousands of possible combinations, we chose to show those that:� Highlight the density of interactions across the network as a

whole� Demonstrate the cross-country interaction� Highlight the people who are key brokers and connectors


Awareness of others(Full Network)

“I know this person and have had some interaction w ith them.” Density: 29%Distance: 1.6

Agha Imran Hamid

Amjad Ali Toor Anirudh Tewari

Ankita Handoo

Ann Lily Marie O Uvero

Antonio B Menor

Anura Herath

Apoorva Mishra

Ariko Toda

Atsuko Toda

Bashu Aryal

Carla De Gregorio

Chase Palmeri

Cui Shuli

Dalantainyam Dagvaa

Dhan Bahadur Shrestha

Djadi Purnomo Dongqing Zhao

Douangmala Chanthalangsy

Ganesh Thapa

Govinda Kafley

Hashibul Alam

Hassan Maaz Shareef

Isabel Tejo

Jebun Nahar

Julita A Ragandang

Jyotsana Sitling

Kamran Akbar

Kati Manner

Kenneth Pala

Keshab Acharya

Mahdiyeh Pourshad

Maria Donnat

Mariam Rikhana

Martina Spisiakova

Mary Jean T. Pacheco

Mattia Prayer Galleti

Moses Chalai

Nguyen Van Thanh

Ngyuen Thanh Tung

Nigel Brett

Ouk Vuthirith Patrick Chen

Patrick Jayamanne

Peni Sakitora

Pravanjan Mahopatra

Qaim Shah

Rahim Ullah

Ronald Hartman

Sana JattaSangay

Sarath Fernando

Shalini Kala

Sheik Md Mohsin

Siale Bain-Vete

Song Sophal

Soulichanh Phonekeo

Soulivanh

Sunil Fernanado

Susan Perez

Thomas Elhaut

Thomas Rath

Ung Moni

Vien Tran Thi

Vikash Kumar

Vinay Kumar

Vincent Darlong

Y. TianY. Wang

Yinhong Sun

Yolando Arban

Zhigang Zheng


The key people in the network(Respondents Only)

Node sizes indicate relative “betweenness”

“I interact with this person at least once every o ther week.”

Agha Imran Hamid

Ankita Handoo

Anura HerathApoorva Mishra

Atsuko Toda

Bashu Aryal

Carla De Gregorio

Chase Palmeri

Cui Shuli

Dalantainyam Dagvaa

Dhan Bahadur ShresthaDjadi Purnomo


Ganesh Thapa

Govinda Kafley

Isabel Tejo

Jebun Nahar

Kati MannerKeshab Acharya

Mahdiyeh Pourshad

Maria Donnat

Mariam Rikhana

Martina Spisiakova



Moses Chalai

Ngyuen Thanh Tung

Nigel Brett

Ouk Vuthirith

Patrick Jayamanne

Pravanjan MahopatraQaim Shah

Rahim Ullah

Ronald Hartman

Sangay

Shalini Kala

Sheik Md Mohsin

Siale Bain-Vete

Soulivanh

Susan Perez

Thomas Rath

Ung Moni

Vien Tran Thi

Vikash Kumar

Vinay Kumar

Vincent Darlong

Y. Wang

Yinhong Sun

Yolando Arban

Zhigang Zheng

Density: 9.8Distance: 2.6


The key people in the network(Respondents Only, Minus CPMs, IDRC and IFAD AP Division Staff)

Node sizes indicate relative “influence”

Red lines : At least once a month (Density 3%)Grey lines : Some interaction, but less than once a month (30% )

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Frequency of interaction: CPMs

“I interact with this person MORE THAN ONCE A WEEK .” Density: 47.7%Distance: 1.05

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Did not respond to the survey


Red lines : At least once a month (9%)Grey lines : Less than once a month (Density = 44%)

Frequency of Interaction: IFAD Country Teams(From Full Network; Diamonds indicate non-respondents)

Agha Imran Hamid

Anirudh Tewari

Ankita Handoo

Anura Herath

Bashu Aryal

Hashibul Alam

Mahdiyeh Pourshad

Mariam Rikhana

Ngyuen Thanh Tung

Patrick Chen

Qaim Shah

Siale Bain-Vete

Soulivanh

Susan Perez

Ung Moni

Vincent Darlong

Yinhong Sun

Yolando Arban


Interaction detail: IFAD Country Teams(From Full Network; Diamonds indicate non-respondents)

“I interact with this person AT LEAST ONCE A MONTH. ”

Agha Imran Hamid

Anirudh TewariAnkita Handoo

Anura Herath

Bashu Aryal

Hashibul Alam

Mahdiyeh Pourshad

Mariam Rikhana

Ngyuen Thanh Tung

Patrick Chen

Qaim Shah

Siale Bain-Vete

SoulivanhSusan Perez

Ung Moni

Vincent Darlong

Yinhong Sun

Yolando Arban


Interaction Frequency: IFAD Project Staff(From Full Network)

Red lines : At least once a month (Density = 2%)Grey lines : Less than once a month (Density 20%)

Amjad Ali Toor


Antonio B Menor

Cui Shuli

Dalantainyam Dagvaa


Djadi Purnomo

Dongqing Zhao


Govinda Kafley

Hassan Maaz Shareef

Isabel Tejo

Jebun Nahar

Julita A Ragandang

Jyotsana Sitling

Kamran Akbar

Kenneth Pala

Keshab Acharya


Moses Chalai

Nguyen Van Thanh

Ouk Vuthirith

Patrick Jayamanne

Peni Sakitora

Pravanjan Mahopatra

Rahim Ullah

Sangay

Sarath Fernando

Sheik Md Mohsin

Song Sophal

Soulichanh Phonekeo

Sunil Fernanado

Vien Tran Thi

Vikash Kumar

Vinay Kumar

Zhigang Zheng


Interaction detail: IFAD Project Staff(From Full Network)

“I interact with this person AT LEAST ONCE A MONTH. ”

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Look for gaps, opportunities across groups(Respondents Only)

Country Teams

IDRC CPMs IFAD HQ Project

n= 18 2 12 5 35

Country Teams 4% 60% 10% 22% 4%IDRC 37% 100% 0% 50% 7%CPMs 4% 6% 63% 63% 4%

IFAD HQ 11% 67% 89% 100% 0%Project 4% 21% 5% 10% 2%

Density = % of ties that exist out of total possibleDiagonal = within-group ties

“I interact with this person at least ONCE EVERY O THER WEEK”


Look for gaps, opportunities across countries(Full Network)

“I interact with this person at least ONCE A MONT H”

Pak/Kryg India Phil/Sri Mon/Mal Vietnam Nep/Bhu Iran China Cam/Ind Lao PDR Bangl Afgh Fiji/Pac

n= 3 6 6 1 3 6 2 4 5 2 1 3

Pak/Kryg 33% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%

India 4% 46% 1% 4% 6% 2% 11% 4% 2% 0% 3% 11% 8%

Phil/Sri 0% 1% 19% 0% 2% 1% 4% 1% 0% 0% 0% 17% 2%

Mong/Mal 0% 0% 0% 17% 0% 0% 0% 0% 0% 0% 0% 0% 0%

Vietnam 0% 6% 0% 8% 42% 0% 13% 4% 4% 17% 6% 25% 6%

Nep/Bhu 3% 6% 8% 11% 4% 60% 17% 3% 3% 0% 4% 33% 13%

Iran 17% 6% 13% 17% 13% 8% 50% 8% 8% 0% 13% 50% 13%

China 3% 4% 3% 6% 8% 6% 17% 43% 3% 0% 8% 17% 8%

Camb/Ind 0% 0% 0% 0% 0% 0% 0% 0% 40% 0% 0% 0% 4%

Lao PDR 0% 0% 8% 0% 17% 0% 0% 0% 11% 67% 0% 0% 0%

Bangl 4% 3% 2% 8% 6% 4% 13% 4% 4% 0% 58% 25% 6%

Afgh 17% 11% 8% 33% 25% 17% 50% 17% 17% 0% 25% -- 25%

Fiji/Pac Is 0% 0% 0% 0% 0% 8% 0% 8% 0% 0% 0% 0% 58%


Knowing each other(Full Network)

“I understand this person’s knowledge and skills.”Response is Agree (5) or Strongly Agree (6)

Density: 14%Distance: 1.98

20% density when responses are “somewhat agree, agree, and strongly agree”

Agha Imran Hamid

Amjad Ali Toor

Anirudh Tewari

Ankita Handoo


Antonio B Menor

Anura Herath

Apoorva Mishra

Ariko Toda

Atsuko Toda

Bashu Aryal

Carla De Gregorio

Chase Palmeri

Cui Shuli

Dalantainyam Dagvaa


Djadi Purnomo

Dongqing Zhao


Ganesh Thapa

Govinda Kafley

Hashibul Alam

Hassan Maaz Shareef

Isabel Tejo

Jebun Nahar

Julita A Ragandang

Jyotsana Sitling

Kamran Akbar

Kati Manner

Kenneth Pala

Keshab Acharya

Mahdiyeh Pourshad

Maria Donnat

Mariam Rikhana

Martina Spisiakova



Moses Chalai

Nguyen Van Thanh

Ngyuen Thanh Tung

Nigel Brett

Ouk Vuthirith

Patrick Chen

Patrick Jayamanne

Peni Sakitora

Pravanjan Mahopatra

Qaim Shah

Rahim Ullah

Ronald Hartman

Sana Jatta

Sangay

Sarath Fernando

Shalini Kala

Sheik Md Mohsin

Siale Bain-Vete

Song Sophal

Soulichanh Phonekeo

Soulivanh

Sunil Fernanado

Susan Perez

Thomas Elhaut

Thomas Rath

Ung Moni

Vien Tran Thi

Vikash Kumar

Vinay Kumar

Vincent Darlong

Y. Tian

Y. Wang

Yinhong Sun

Yolando Arban

Zhigang Zheng


The “don’t know” aspect(Full Network)

“I understand this person’s knowledge and skills.”

Response is Strongly Disagree

Density: 78%

Agha Imran Hamid

Amjad Ali Toor

Anirudh Tewari

Ankita Handoo

Ann Lily Marie O UveroAntonio B Menor

Anura Herath

Apoorva Mishra

Ariko Toda

Atsuko Toda

Bashu Aryal

Carla De Gregorio

Chase Palmeri

Cui Shuli

Dalantainyam Dagvaa


Djadi Purnomo

Dongqing Zhao


Ganesh Thapa

Govinda Kafley

Hashibul Alam

Hassan Maaz Shareef

Isabel Tejo

Jebun Nahar

Julita A Ragandang

Jyotsana Sitling

Kamran Akbar

Kati Manner

Kenneth Pala

Keshab AcharyaMahdiyeh Pourshad

Maria Donnat

Mariam Rikhana

Martina Spisiakova



Moses Chalai

Nguyen Van Thanh

Ngyuen Thanh Tung

Nigel Brett

Ouk Vuthirith

Patrick Chen

Patrick Jayamanne

Peni Sakitora


Rahim Ullah

Ronald Hartman

Sana Jatta

Sangay

Sarath Fernando

Shalini Kala

Sheik Md Mohsin

Siale Bain-Vete

Song Sophal

Soulichanh Phonekeo

Soulivanh

Sunil Fernanado

Susan Perez

Thomas Elhaut

Thomas Rath

Ung Moni

Vien Tran Thi

Vikash Kumar

Vinay Kumar

Vincent Darlong

Y. Tian

Y. Wang

Yinhong Sun

Yolando Arban

Zhigang Zheng


Look for gaps, opportunities across groups(Full Network)

Density = % of ties that exist out of total possibleDiagonal = within group ties

“I understand this person’s knowledge and skills.”

Response is Agree (5) or Strongly Agree (6)

Country Teams

Project IDRC CPMs IFAD HQ

n= 18 34 2 12 5

Country Teams 16% 6% 58% 21% 36%Project 6% 4% 36% 17% 26%IDRC 58% 32% 100% 50% 88%CPMs 11% 7% 8% 41% 44%IFAD HQ 49% 10% 75% 73% 75%


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36

47

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29

5

48

60

15

55

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CPMs

“I interact with this person MORE THAN ONCE A WEEK .”

Density: 47.7%Distance: 1.05

Did not respond to the survey

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67

36

47

1

29

5

48

60

15

55

10

“I STRONGLY AGREE that I know this person’s knowledge and skills.”


Agha Imran Hamid

Anirudh Tewari

Ankita Handoo

Anura Herath

Apoorva Mishra

Atsuko Toda

Bashu Aryal

Carla De Gregorio

Chase Palmeri

Cui Shuli

Dalantainyam Dagvaa


Djadi Purnomo


Ganesh Thapa

Govinda Kafley

Isabel Tejo

Jebun NaharKati Manner

Keshab Acharya

Mahdiyeh Pourshad

Maria Donnat

Mariam Rikhana

Martina Spisiakova



Moses Chalai

Ngyuen Thanh Tung

Nigel Brett

Ouk Vuthirith

Patrick Jayamanne

Pravanjan Mahopatra

Qaim Shah

Rahim Ullah

Ronald Hartman

Sangay

Shalini Kala

Sheik Md Mohsin

Siale Bain-Vete

Soulivanh

Susan Perez

Thomas Rath

Ung Moni

Vien Tran Thi

Vikash Kumar

Vinay Kumar

Vincent Darlong

Y. Wang

Yinhong Sun

Yolando Arban

Zhigang Zheng

Improving Results(Responded Only)

“I am likely to improve results if I could communic ate more with this person.”

Response is Likely (4) or Very Likely (5)

Name Count

Thomas Elhaut 30

Shalini Kala 28

Maria Donnat 26

Apoorva Mishra 24

Martina Spiasiakova 23

Ronald Hartman 23

Yolando Arban 20

Carla De Gregorio 19


The Personal Network Data

� 37 people responded to the request to list up to 15 people “whom they rely on to accomplish their work”� The intent was to gain insight into how diverse networks

are in terms of working with people outside of one’s local office.

� Respondents listed an average of 12.5 people� Results:

� An additional 276 people and an additional 343 ties


In the extended network

� On average, 35% of these personal networks consist of people in the same group

� 68% of these people are in the same country� 30.6% of people are outside of the IFAD/IDRC/ENRAP

network� People added by 3 or more respondents:

� Riza Rosal, � Shankar Kutty, � Shahell Rafique, � Martina Huonder, � Imelda Posadas, � He Qibin, � Jeszal Topacio,


Full network view

A. Alam

A. V. Parajuli

Abdou

Abdou Bousselham

Abdou Mohammed

Abhijeet Mukherjee

Adrian Marbaniang

50

Ajantha Kumarasiri - Finance Ministry, ERD

Akmal Hussain

Alamoti F - MORDI Kiribati

Aleki Sisifa

Alex delos Santos, NMCIREMP

Aloysius Fernandez

53

Anara Jumabayeva

Andrew Speedy

26

59

58

63

AP Regmi

19

42

Ashok Seth

Assistant Secretary Dolly

67

Bal Claver

Bandara, Manager Civil works

44

Batbayar, ministry of finance

Bebeth Padre

Benedicto Bayaua

Benny Irwan

Betero Fuatia

Binai Lama

BK Dallakoti

Bounlouane

Bounta

Brett Shapiro

Budget Director

Cameron P. Odsey

Capt. Waqar, PD NWFP BADP

36

Celedonia Saldevar

Chan Darong

Charles Picpican

21

Chattawa

CPMs

13

D.Angar, ministry of finance

D.Galsanbuyan, ministry of MOFA

DADO's of Project Districts

41

Daniel IngthDaniela Marra

Danny Dalilis

DAR officemates/colleagues

DAR-IFAD Project staff

Darmasiri Finance Manager

Dasho Sherub Gyaltshen

Dev Nathan

Dewo Putranto

DFO'S of Project Districts

45

Dhrubajyoti Nath

Dhrupad Choudhary

Dir. Herminia B. San Juan, DAR

Director, FAPsO Finance

31DLSO'S of Project Districts

14

Dorothy Bellogini

38

Dr. Choudhury, ICIMOD

Dr. P.C.Oraon

Duan Qibin

Duong Quynh Le

Edna Cabaoig

Edward Mallorie

Eko

Emelie Daquipil

Eric Weiss

Evelyn Valeriano

Fakavae Taomia

Fakavae Toamia - MORDI Regional

Fedrick Abyratna - UNDP

Feng Yaobin

Field Presence Officers

Floyd Robinson - MORDI Fiji

Franklin Bonifacio

22

46

Gyanendra Kaysatha

Ha Van Hoa

Hari Upadhyaya

2

40

He Qibin

He Xiaojun

Herve Conan

Hoang Van Son

Hok Kimthourn

Houmphanh

Hrishikesh Singh

Huynh Van Tao

Imelda Posadas

57

J.Jargalsaihan, ministry of finance

James McManners

3

Jeszel Topacio

Jimmy McManner

Joe Gillen

Joint Secretary Mahesh Dahal MLD

Joint Secretary Mukunda Raj Prakash NPC

joji flores

Jose Dado

Judith D'Souza

56

Junaid Iqbal, Additional Secretary, EAD

11

K Khanal

51

Kariyawasam, District Manager

Karla

Karma Tenzin

Katherine Mitchell

47

KC Poudel

28

Keo Vibol

43

Keshav Kanel

Keshav Nepal

Kezang Dorji

Khanthaly

Kinisemere Waqa - MORDI Fiji

Kris Monzales

Kumarasiri/ External Resource Department

Kunzang

Kuwan Sinh

Lalith Haturusinghe - Ministry of Agric.

Lattanakhone

Laurent Elder

Laxman Gautam

LDO'S of project Districts

Le Thi Dien

Letho Dukpa

Li Hongping

Liam Chicca

Liu Fang

Lord Reasmey

Loreen Ngwele - MORDI Regional

Luna David

Luu Quang Khanh

Lyonpo Pema Gyamtsho

Lyonpo Pema Gyantsho

37

Majula Amerasinhe - ADB

Maliha Hussein

Manitasi Leger - MORDI Tonga

Manohar Sharma

Mao Narith

1

Maria Ng

Maria Zaccardelli

Maria, PI, IFAD

35

Marita Manley

Martina

Martina Huonder

23

72

29

Megam Ritchi

Meng Sakphouseth

Michael Rayner

Mohamed Boussalhem

Mohammad Ali, FAOMohammad Farrah, FAOMohammad Hussain Bhatti, FAO, CDP

mohammed bousselham

30

Mr. Bahman Mansuri

Mr. Hossain Ajdari

Mr. Javad jahangirzadeh

Mr. Nicola FaviaMr. Siruse Entekhabi

Mr. Sunil AbrahamMrs. BanihashMrs. Dr. Alirezanejad

Mrs. Fariba Aghakhani

Mrs. Laleh Daraii

Mrs. Mitra najafiMrs. Zari Eskandari

Mrs/Mr. Satche

Mua Tausie

Muthumala, DFistrict Manager

N.Batsuuri, State Secretary, MoFA

NEDA/DBM/DOF/Bureau of Treasury

nestor estoesta

Nguyen Anh Quan

Nguyen Thi Hong Yen

Nguyen Thu Hoai

Nguyen Truc Son

68 705

Nihal Attapattu - CIDA

Nim Dorji

Nong Thi My Hanh

NR Baral

9

P Samarasinghe

P.Bayanmonh, ministry food and agriculturePatricia Picconi

12

64

Pawan Kumar

71

Peter Sittu

Phan Thanh Bien

Phan Thanh Nhan

Phan Van Nhan

Phengkit

Phet Sayo

Phuong Tien Tan

Piyasena , Ministry Secretary

32

Premalal Kuruppuarachchi - FAO

Priyanthi Fernando

Project Budget Officer/AccountantProject Directors

Project Staff

punam t.surin

Pushpakumara, District Manager

54

Raghav Gaiha

52

Rahimullah

Ramil Rodriguez

Randunu , Monitoring Officer

Ranjan pathak

Rashda Syed

Riza Rosal

RK Pradhan

robert anthony

Roi Avena

48

Roxanne Samii

60

6

Sanjay bhagat

Sanjeev Kumar Shrestha

Saomany

65

Scott Leiper

Secretary Ganga Datta Awasthi MLD

Section Officer Subash Shivakoti MLD

Senarath Banadara District Manager

Shafiullah Shaheel Rafique

20

shampa roy Shankar Kutty

Shanta Muni Tamrakar

4

49Silvia Guizzardi

Sim Moeun

Siosiua Halavatau

Sisilia Fangua - MORDI Tonga

Soane Patolo - MORDI TOnga

Somchith

Son Thi Anh Hong

7 34

39

SP Joshi

SP Upadhyaya

Sri Damayanti

Sriram Subramanian

Staff of other IFAD-assisted projects in the Phils.

Staff/Point person of other cooperating agencies

Stefania Cappai

Su Juan

Subir Pradhan

Sunil Abraham

66

Suon Sokheng

Supanca

Surya P. Acharya

61

Susi

Svetlana Balkhova

Sylvia Guizzardi

sylvie martin

Tahir Orakzai, PD, SFDP

Tekai Ataraki - MORDI Kiribati

Teng Lao

Teretia Tororo - MORDI Kiribati

Terrence Abysekara - World Bank

Thelma Paris

15

Thongsone

TN Acharya

Tom Anyonge

Tong Minh Vien

Tran Hoan Kim

Tran Thi Vien

Tshering TenzinTshewang Gyaltshen

Tung

Ugen Norbu

Ugen Tshewang

Under Secretary Dhurba Dahal MLD

Under Secretary Kedar Neupane MLD

Under Secretary Reshmi Pandey MLD

Under Secretary Shyam Nidhi Tiwari MOF

Under Secretary Zenaida maglaya

8

Valentina Camaleonte

69

Vijaylakshmi Brara

18

33

27

Vivi S.

Wang Bo

Wang Geng

Waqar Abbasi, Dy. Secretary, EAD

Willem Bettink

Wolfgang, WFP

Wu Xingzhong

5510

Yan Pieter

Yang Saing Koma

17

62

Youqiong Wang

Yun Ryong Chan

Zhang wen

16

Zou Ciyong


Summary

� The ENRAP network is currently connected by:� IFAD AP division staff and ENRAP

� CPMs� A few people who have three or more ties across country boundaries

� Connections within the countries are healthy. Exceptions may be simple to explain

� If you want to decrease the involvement of the central staff (and eventually IDRC), then you will want to look for ways to increase the cross-boundary connections

� The density of connectivity is at the level of “at least once a month”is good. The question is whether this is the level of interaction that you would like to see, or if you would like it to be better

� Network analyses are open to interpretation, and are intended toshow patterns that prompt good questions and spark joint learning and action

Patti Anklam 2009

Going forward from here


The network view provides access to managing a network’s context

� You can design a network� Selecting appropriate elements of purpose and style

� You can examine it� Looking at its structure, value flow, or relationships

� You can create or respond to change� By understanding the network’s context and its properties


The leader’s net work

1. Network intentionally2. Practice network stewardship3. Embrace technology 4. Create the capacity for net work5. Use the network lens6. Intervene carefully


1. Network Intentionally

� Create connections� Randomly� Mindfully� Between individuals and across groups

� Increase the flow of knowledge� Technology, events

� Discover connections� Correct impedances

� Overly central people or bottlenecks

� Increase diversity

A

C

B

A

C

B

A

C

B


2. Practice network stewardship

� You can design a network� To support client groups and organizational initiatives� To manage a KM program

� You can examine it� Looking at its structure, value flow, or relationships

� You can create or respond to change� By understanding the network’s context and its properties

The network view provides access to managing a network’s context


3. Embrace technology

� Leverage technology to discover networks� Encourage the use of technology

� “Network productivity trumps personal productivity*”

*Stowe Boyd, “Flow: A New Consciousness For A Web Of Traffic”, http://www.stoweboyd.com/message/files/flow.pdf


4. Create capacity

� Reward good network behaviors� Encourage outreach� Bring the outside in� Establish and transmit norms

for networking� Enhance skills in using

collaborative networkingtechnologies and social tools


5. Use the “network lens”

� If it’s a network, you can draw it.� Pick up your pencil

� Think about the relationships that exist� In your personal network� Among individuals� Across roles and entities

� Target leverage points� Look for what’s missing


6. Intervene carefully

� You can’t manage a network, you can only manage its context

� Slight alterations in the structure can create significant change over time

� Look for “safe-fail”experiments

Patti Anklam 2009

Backup Slides: More onNet Work


� Purpose� Structure� Style� Value

The network view provides access to understanding a network’s properties


Network Properties: Purpose

82

Aid and support people, environmentCreate economic

gain for stakeholders

Generate and collaborate in

creating and using ideas

Practice-focused learning and personal development

Nurture emotional and affiliative relationships


Purpose drives the design factors

� What networks are you in?� What would these look like if

you drew them?� What do the leadership

models look like for these?� What roles do you play in

each of them?� What value do you receive

from them?� What value does the network

itself produce?


SNA Reveals: Patterns of Individual Roles

Peripheral specialistsInformation broker

Central connector

Influencer


Network Properties: Style

� What are members like?� How does it “feel” to be in the network?� How does it engage its members?� How is it led?


Locus: Place, Space, and Pace

� Physical place� Campaign events bring the networks into a physical place

� Virtual space� Internet interactions, collaboration spaces, email

conversations, etc.

� Pace� Frequency of interactions in the network


Culture

� Core values, shared values� Trust and reciprocity� Transparency� Shared symbols, rituals, language� Appropriate to the current culture and norms

87


Types of interaction

� Transactional� Exchange of explicit information� Driven by action, tasks, commitments

� Knowledge-based� Structured in a learning network� Implicit sharing

� Personal� Developing stronger ties by sharing information about

yourself


Style orientations

Collaboration Connection

Network Individual

Top-down Emergent

Closed Open

Outcome Discovery

Transaction Knowledge

Tangible Intangible


Network Properties: Value

� What value is associated with the network’s purpose?

� WII-FM (“What’s in it for me?”)

� Connections?

� Knowledge?� Competencies?� Resources?

� Something else?� How does value flow within the network?


Summary

� You can characterize networks by looking at purpose, structure, style, and value properties

� Creating and sustaining successful networks means paying attention to all of these attributes

Patti Anklam 2009

SNA Maps & Charts Not Used in Main NetWorkShop Slides


The Nature of Connections

� What means do you use to connect with each of the people you list in your close network?

� What are the reasons that you connect with these people?


Which Means for Which Types of Interaction?

Using “Multiple Means” for “Multiple Reasons” elicited 125 responses; it is not shown in the table above.


Frequency of interactions(Respondents Only)

“I interact with this person at least once every o ther week.” Density: 9.8%Distance: 2.6

Agha Imran Hamid

Ankita Handoo

Anura Herath Apoorva Mishra

Atsuko Toda

Bashu Aryal

Carla De Gregorio

Chase PalmeriCui Shuli

Dalantainyam Dagvaa


Djadi Purnomo


Ganesh Thapa

Govinda Kafley

Isabel Tejo

Jebun Nahar

Kati Manner Keshab Acharya

Mahdiyeh Pourshad

Maria Donnat

Mariam Rikhana Martina Spisiakova



Moses Chalai

Ngyuen Thanh Tung

Nigel Brett

Ouk Vuthirith

Patrick JayamannePravanjan Mahopatra

Qaim Shah

Rahim Ullah

Ronald Hartman

Sangay

Shalini Kala

Sheik Md Mohsin

Siale Bain-Vete

Soulivanh

Susan Perez

Thomas Rath

Ung Moni

Vien Tran Thi

Vikash Kumar

Vinay Kumar

Vincent Darlong

Y. Wang

Yinhong Sun

Yolando ArbanZhigang Zheng


The key people in the network(Full Network)


“I interact with this person at least once every o ther week.”

Agha Imran Hamid

Ankita Handoo


Atsuko Toda

Bashu Aryal

Carla De Gregorio

Chase Palmeri

Cui Shuli

Dalantainyam Dagvaa

Dhan Bahadur ShresthaDjadi Purnomo


Ganesh Thapa

Govinda Kafley

Isabel Tejo

Jebun Nahar

Kati MannerKeshab Acharya

Mahdiyeh Pourshad

Maria Donnat

Mariam Rikhana

Martina Spisiakova



Moses Chalai

Ngyuen Thanh Tung

Nigel Brett

Ouk Vuthirith

Patrick Jayamanne


Rahim Ullah

Ronald Hartman

Sangay

Shalini Kala

Sheik Md Mohsin

Siale Bain-Vete

Soulivanh

Susan Perez

Thomas Rath

Ung Moni

Vien Tran Thi

Vikash Kumar

Vinay Kumar

Vincent Darlong

Y. Wang

Yinhong Sun

Yolando Arban

Zhigang Zheng


Frequency of interactions(Full Network)

“I interact with this person at least once a month .” Density: 6%Distance: 2.6

Agha Imran Hamid

Amjad Ali Toor

Anirudh Tewari

Ankita Handoo


Antonio B Menor


Ariko TodaAtsuko Toda

Bashu Aryal

Carla De Gregorio

Chase Palmeri

Cui Shuli

Dalantainyam DagvaaDhan Bahadur Shrestha

Djadi Purnomo

Dongqing Zhao


Ganesh Thapa

Govinda Kafley

Hashibul Alam

Hassan Maaz Shareef

Isabel Tejo

Jebun Nahar

Julita A Ragandang

Jyotsana Sitling

Kamran Akbar

Kati Manner

Kenneth PalaKeshab Acharya

Mahdiyeh Pourshad

Maria Donnat

Mariam Rikhana

Martina Spisiakova

Mary Jean T. PachecoMattia Prayer Galleti

Moses Chalai

Nguyen Van Thanh

Ngyuen Thanh Tung

Nigel Brett

Ouk Vuthirith

Patrick Chen

Patrick Jayamanne

Peni Sakitora

Pravanjan Mahopatra

Qaim Shah

Rahim Ullah

Ronald Hartman

Sana Jatta

Sangay

Sarath Fernando

Shalini Kala

Sheik Md Mohsin

Siale Bain-Vete

Song Sophal

Soulichanh Phonekeo

Soulivanh

Sunil Fernanado

Susan Perez

Thomas Elhaut

Thomas Rath

Ung Moni

Vien Tran Thi

Vikash Kumar

Vinay Kumar

Vincent Darlong

Y. Tian

Y. Wang

Yinhong Sun

Yolando Arban

Zhigang Zheng


The key people in the network(Minus CPMs, IDRC and IFAD AP Division Staff)


Red lines : At least once a monthGrey lines : Some interaction, but less than once a month

Diamond shapes indicate non-respondents

Agha Imran Hamid

Amjad Ali Toor

Anirudh Tewari

Ankita Handoo


Antonio B Menor

Anura Herath

Bashu Aryal

Cui Shuli

Dalantainyam Dagvaa


Djadi Purnomo

Dongqing Zhao


Govinda Kafley

Hashibul Alam

Hassan Maaz Shareef

Isabel Tejo

Jebun Nahar

Julita A Ragandang

Jyotsana Sitling

Kamran Akbar

Kenneth Pala

Keshab Acharya

Mahdiyeh Pourshad

Mariam Rikhana


Moses Chalai

Nguyen Van Thanh

Ngyuen Thanh Tung

Ouk Vuthirith

Patrick Chen

Patrick Jayamanne

Peni Sakitora

Pravanjan Mahopatra

Qaim Shah

Rahim Ullah

Sangay

Sarath Fernando

Sheik Md Mohsin

Siale Bain-Vete

Song Sophal

Soulichanh Phonekeo

Soulivanh

Sunil Fernanado

Susan Perez

Ung Moni

Vien Tran Thi

Vikash Kumar

Vinay Kumar

Vincent Darlong

Yinhong Sun

Yolando ArbanZhigang Zheng