This document discusses the use of theories in social work education and practice. It notes that there are approximately 30 theories taught from other disciplines like psychology, sociology, economics, etc. but there is no consensus on a distinct "social work theory." Theories are grouped into broad categories but are taught discretely rather than as a coherent course. Some argue theories have limited value for the complex realities of social work practice while others believe theories should inform practice. The document examines different perspectives on clinical versus macro-level social work and criticisms that some theories have taken over practice rather than guided it.
Large scale social recommender systems at LinkedInMitul Tiwari
This document discusses the large-scale social recommender systems used at LinkedIn. It describes how LinkedIn uses recommender systems to suggest news articles, people you may know connections, related searches, and skill endorsements. It also discusses the challenges of scaling these recommender systems given LinkedIn's large user base and social graph. Key recommender systems covered include recommending news items to users, identifying potential connections through people you may know, and suggesting skill endorsements. The document also discusses how social graph analysis and modeling virality helps these recommender systems.
If you have some experience with global grants and a firm
grasp on the basics, this session is for you. Learn how to
take the next steps toward developing a quality global grant
project, including conducting needs assessments and
making sure your project aligns with the areas of focus goals.
If you have some experience with global grants and a firm
grasp on the basics, this session is for you. Learn how to
take the next steps toward developing a quality global grant
project, including conducting needs assessments and
making sure your project aligns with the areas of focus goals.
Understanding the context for urban form changes: a concept mapping exercise ...INTERACT
A better understanding of context facilitates interpretation of intervention success or failure. Perceptions of context may differ across stakeholders. We used concept mapping in case studies of three imminent urban form interventions (a public bike share program in Vancouver, British Columbia; a city-wide cycling network in Victoria, British Columbia; a bus rapid transit system in Saskatoon, Saskatchewan) to uncover stakeholders’ perceptions of factors that influence the success or failure of urban form interventions.
Fuller D, Winters M, Kestens Y, Rondier P. A tale of three cities: A concept mapping exercise to understand the context for urban form changes. Oral presentation at: International Society of Behavioral Nutrition and Physical Activity; June 10 2017; Victoria, BC.
Grant proposal writing can be an intimidating process but it may be necessary to secure funding for your organization’s programs and services. Connect.DC in partnership with the DC Office of Partnership and Grant Services (OPGS) and Mayor’s Office of Community Affairs, offered a workshop on grant proposal writing basics: tips; dos and don’ts; and completing District forms.
ITS 832CHAPTER 13Management of Complex Systems Tow.docxvrickens
ITS 832
CHAPTER 13
Management of Complex Systems:
Toward Agent-Based Gaming for Policy
Information Technology in a Global Economy
INTRODUCTION
• Simulating/Managing Social Complex Phenomena
• Leadership and Management in Complex Systems
• Serious Gaming
• Agent-Based Games for Testing Leadership and
Management
• Single and Multiplayer Settings
• Summary and conclusions
SIMULATING AND MANAGING SOCIAL
COMPLEX PHENOMENA
• Study of how people interact
• Scale prohibits experimentation with real populations
• Agent-Base modeling (ABM)
• Networked agents
• Each agent is an individual
• Interaction may modify agent behavior
• Managing complex phenomena introduces complexity
• Techniques to manage turbulent situations vary
• Technique success depends on responding to agent behavior
• Which may change based on interactions
LEADERSHIP AND MANAGEMENT IN
COMPLEX SYSTEMS
• Traditional leadership research
• Generally focuses on single period in time
• Doesn’t address dynamic relationships
• Timing of leadership principle application matters
• Primary leadership functions
• Instructional and regulatory
• Developmental
• Simulations offer promise to help model leadership in complex
systems
SERIOUS GAMING
• Applying gaming techniques to real life situations
• Flight simulators
• Effective for evaluating complex environments
• Player must interact with multiple actors and situations
• Currently used for side range of training applications
• Leadership use
• Deterministic – limited scope
• ABMs in serious gaming can help understand more complex
interactions
AGENT-BASED GAMES FOR TESTING
LEADERSHIP AND MANAGEMENT
• ABM games with autonomous AI population
• Test leadership style effectiveness
• Explore which styles work best in different situations
• Determine the best choice for a given scenario
• Current state of the art is more conceptual
• Advances needed in interfaces
• Need to allow users to interact with simulation
• Keep players engaged
BEHAVIOR IMPACTED BY MULTIPLE FACTORS
SINGLE AND MULTIPLAYER GAMES
• AI may react poorly to management input
• Simulating unexpected consequences of decisions
• Overactive AI may degrade realism
• Players can dynamically see how decisions affect others
• Early simulations allow for only single players
• Multiple real players adds more realistic interaction
• Players replace some AI
• Players interact with each other and AI
SUMMARY AND CONCLUSIONS
• ABM-based gaming can measure behaviors of players
• Supports experimentation in controlled environment
• Study leaderships and management in complex systems
• Focus
• Interaction with leadership
• Interaction with players as a result of leadership action
ITS 832
Chapter 15
Visual Decision Support for Policy Making:Advancing
Policy Analysis withVisualization
Information Technology in a Global Economy
Introduction
• Background
• Approach
• Case Studies
• Optimization
• Social Simulation ...
Creating and Sustaining Successful Networks focused on providing best practices for building and maintaining effective networks. It discussed the importance of establishing a clear purpose and principles, understanding network structure, and utilizing appropriate tools and leadership approaches. Specific topics included defining success, incorporating new members, decentralizing networks, and leveraging both online and in-person interactions. The overall goal was to enhance participants' ability to develop healthy, impactful networks.
This document discusses the use of theories in social work education and practice. It notes that there are approximately 30 theories taught from other disciplines like psychology, sociology, economics, etc. but there is no consensus on a distinct "social work theory." Theories are grouped into broad categories but are taught discretely rather than as a coherent course. Some argue theories have limited value for the complex realities of social work practice while others believe theories should inform practice. The document examines different perspectives on clinical versus macro-level social work and criticisms that some theories have taken over practice rather than guided it.
Large scale social recommender systems at LinkedInMitul Tiwari
This document discusses the large-scale social recommender systems used at LinkedIn. It describes how LinkedIn uses recommender systems to suggest news articles, people you may know connections, related searches, and skill endorsements. It also discusses the challenges of scaling these recommender systems given LinkedIn's large user base and social graph. Key recommender systems covered include recommending news items to users, identifying potential connections through people you may know, and suggesting skill endorsements. The document also discusses how social graph analysis and modeling virality helps these recommender systems.
If you have some experience with global grants and a firm
grasp on the basics, this session is for you. Learn how to
take the next steps toward developing a quality global grant
project, including conducting needs assessments and
making sure your project aligns with the areas of focus goals.
If you have some experience with global grants and a firm
grasp on the basics, this session is for you. Learn how to
take the next steps toward developing a quality global grant
project, including conducting needs assessments and
making sure your project aligns with the areas of focus goals.
Understanding the context for urban form changes: a concept mapping exercise ...INTERACT
A better understanding of context facilitates interpretation of intervention success or failure. Perceptions of context may differ across stakeholders. We used concept mapping in case studies of three imminent urban form interventions (a public bike share program in Vancouver, British Columbia; a city-wide cycling network in Victoria, British Columbia; a bus rapid transit system in Saskatoon, Saskatchewan) to uncover stakeholders’ perceptions of factors that influence the success or failure of urban form interventions.
Fuller D, Winters M, Kestens Y, Rondier P. A tale of three cities: A concept mapping exercise to understand the context for urban form changes. Oral presentation at: International Society of Behavioral Nutrition and Physical Activity; June 10 2017; Victoria, BC.
Grant proposal writing can be an intimidating process but it may be necessary to secure funding for your organization’s programs and services. Connect.DC in partnership with the DC Office of Partnership and Grant Services (OPGS) and Mayor’s Office of Community Affairs, offered a workshop on grant proposal writing basics: tips; dos and don’ts; and completing District forms.
ITS 832CHAPTER 13Management of Complex Systems Tow.docxvrickens
ITS 832
CHAPTER 13
Management of Complex Systems:
Toward Agent-Based Gaming for Policy
Information Technology in a Global Economy
INTRODUCTION
• Simulating/Managing Social Complex Phenomena
• Leadership and Management in Complex Systems
• Serious Gaming
• Agent-Based Games for Testing Leadership and
Management
• Single and Multiplayer Settings
• Summary and conclusions
SIMULATING AND MANAGING SOCIAL
COMPLEX PHENOMENA
• Study of how people interact
• Scale prohibits experimentation with real populations
• Agent-Base modeling (ABM)
• Networked agents
• Each agent is an individual
• Interaction may modify agent behavior
• Managing complex phenomena introduces complexity
• Techniques to manage turbulent situations vary
• Technique success depends on responding to agent behavior
• Which may change based on interactions
LEADERSHIP AND MANAGEMENT IN
COMPLEX SYSTEMS
• Traditional leadership research
• Generally focuses on single period in time
• Doesn’t address dynamic relationships
• Timing of leadership principle application matters
• Primary leadership functions
• Instructional and regulatory
• Developmental
• Simulations offer promise to help model leadership in complex
systems
SERIOUS GAMING
• Applying gaming techniques to real life situations
• Flight simulators
• Effective for evaluating complex environments
• Player must interact with multiple actors and situations
• Currently used for side range of training applications
• Leadership use
• Deterministic – limited scope
• ABMs in serious gaming can help understand more complex
interactions
AGENT-BASED GAMES FOR TESTING
LEADERSHIP AND MANAGEMENT
• ABM games with autonomous AI population
• Test leadership style effectiveness
• Explore which styles work best in different situations
• Determine the best choice for a given scenario
• Current state of the art is more conceptual
• Advances needed in interfaces
• Need to allow users to interact with simulation
• Keep players engaged
BEHAVIOR IMPACTED BY MULTIPLE FACTORS
SINGLE AND MULTIPLAYER GAMES
• AI may react poorly to management input
• Simulating unexpected consequences of decisions
• Overactive AI may degrade realism
• Players can dynamically see how decisions affect others
• Early simulations allow for only single players
• Multiple real players adds more realistic interaction
• Players replace some AI
• Players interact with each other and AI
SUMMARY AND CONCLUSIONS
• ABM-based gaming can measure behaviors of players
• Supports experimentation in controlled environment
• Study leaderships and management in complex systems
• Focus
• Interaction with leadership
• Interaction with players as a result of leadership action
ITS 832
Chapter 15
Visual Decision Support for Policy Making:Advancing
Policy Analysis withVisualization
Information Technology in a Global Economy
Introduction
• Background
• Approach
• Case Studies
• Optimization
• Social Simulation ...
Creating and Sustaining Successful Networks focused on providing best practices for building and maintaining effective networks. It discussed the importance of establishing a clear purpose and principles, understanding network structure, and utilizing appropriate tools and leadership approaches. Specific topics included defining success, incorporating new members, decentralizing networks, and leveraging both online and in-person interactions. The overall goal was to enhance participants' ability to develop healthy, impactful networks.
Network Masterclass - Sustaining your Network Becky Malby
The document summarizes a webinar on sustaining networks that will be presented by Liz Maddocks-Brown, Prof. Becky Malby, and Rob Cockburn. The webinar will cover how to make the best use of network membership, generate shared knowledge and impact, and sustain networks into the future. It provides biographies of the three presenters and outlines the learning objectives and topics that will be covered in the webinar.
Linkages between donor and partner organizations are important for effective information sharing, but establishing and maintaining them requires substantial time, effort and resources. The document outlines a four step planning cycle to develop effective linkage strategies: 1) define linkage strategies and objectives with partners, 2) identify potential mechanisms, 3) develop action plans, and 4) periodically monitor and assess progress. Key factors for successful linkage planning include awareness, consensus, commitment, adequate funding, and involvement of stakeholders at all levels.
The webinar is being presented by Professor Becky Malby and Liz Maddocks-Brown. Prof. Malby has experience in systems innovation, organizational change, and leadership development in both the public and private sectors in the UK and internationally. Liz Maddocks-Brown has over 30 years of experience in the public sector, especially leading organizational change initiatives in the NHS. The webinar will focus on what it takes to be an effective network leader, exploring topics like the roles and responsibilities of network leadership, facilitating peer relationships, and sustaining networks over time. Participants will be encouraged to ask questions in the chat box.
This document presents research on the structural implications of destination value system networks. The researchers analyzed over 4.6 million geotagged photos from Flickr to create networks of visitor activities within Florida destinations. They found statistically significant relationships between various measures of network structure (e.g. density, centralization) and total value creation within a destination. While network dynamics were found to play an important role, some unexpected results emerged that require further research to understand cooperation and competition effects. The analysis provides a foundation for developing models of destination value systems and smarter destination management approaches.
This document provides information about global grant projects requirements. It discusses that global grant projects must have long-term, sustainable impact in one of Rotary's areas of focus, invest at least $30,000 in a community with TRF matching between $15,000-$200,000. Clubs must qualify annually by attending training and completing paperwork to access these grants. Eligible projects include vocational training, humanitarian aid, and scholarships. Thorough community needs assessments are important to develop effective projects.
Gnomes-that-code can transition to winners-that-code.
This presentation introduces the concept of development options.
An appropriately designed network continuously synthesizes development options that provide the potential to take action that may result in a favorable gain.
When an attractive gain may be realized, options are exercised.
Multiple options can be active simultaneously to provide multiple opportunities to win within the network’s current capabilities and within the project’s current constraints
Concepts that can help gnomes that code improve their capability to synthesize and exercise attractive development options include:
Requisite variety
Pair Development
Disintermediation
Recursion
This document provides an overview of Module 13 on Project Stakeholder Management. The module contains 4 lessons that cover key concepts, planning stakeholder engagement, managing engagement, and monitoring engagement. Each lesson defines the process, describes inputs and outputs, and lists tools that can be used. The overall goal is to identify stakeholders, understand their needs, develop engagement strategies, communicate with stakeholders, and ensure strategies remain effective as the project evolves.
LinC Project: Parlimentary Select Committee to Mental Health Social ServicesChris Jansen
This presentation firstly focussed on an "outside view" such as the LinC Project objectives, deliverables and outcomes before moving to an "inside view" as a summary of emerging learning from the LinC Project Case Study including the benefits of collaborative funding, governance, delivery and evaluation
http://www.leadershiplab.co.nz/current-projects/linc-leadership-in-communities-project-2015-2016/
http://www.lincproject.org.nz/projects
Invovling Beneficiaries in Grant-Making (ACF 2013)indigotrust
This document discusses research on involving beneficiaries in grant-making. It outlines:
1) Benefits of involvement include strengthening legitimacy, enhancing effectiveness, and facilitating learning. However, challenges include representation and resource requirements.
2) Research at BIG Lottery Fund found involvement improved needs assessment and decision-making, but representation and support for beneficiaries were challenges.
3) A study by IVAR found beneficiary involvement in grant discussions with foundations fostered understanding and two-way dialogue between funders and grantees.
4) Cripplegate Foundation seeks beneficiary input to better understand local needs and shape priorities, though involvement requires significant resources. A spectrum of involvement approaches may be appropriate depending on context.
A Community of Quality: Using Social Network Analysis to Study University-Wid...Stephanie Richter
The document describes a study conducted at Northern Illinois University (NIU) to analyze the social network of faculty and staff working with online teaching quality standards using social network analysis (SNA). Researchers administered a survey to map connections between participants and identify central/influential members. The initial network showed low density and high fragmentation. Researchers plan to conduct follow up surveys to evaluate how the network changes over time after providing opportunities for community growth. The goal of SNA is to help increase collaboration and sense of ownership around quality matters standards across departments at NIU.
Are you thinking about starting a new community project? We'll guide you through the steps of conducting a community assessment, and teach you how to use the results to design a project aligned with the goals of our areas of focus so it is eligible for global grant funding.
This document provides guidance on how to conduct a community assessment, which is required for global grant projects beginning July 1st. It discusses the benefits of assessments, such as increasing understanding of community needs and assets. Various assessment tools are described, including community meetings, surveys, interviews, focus groups, asset inventories, and community mapping. Tips are provided for effectively utilizing each tool. The document concludes by discussing how to select project ideas that are aligned with assessment findings and area of focus goals.
4C13 J.15 Larson "Twitter based discourse community"rhetoricked
This document summarizes Brian Larson's research examining Twitter discourse communities among composition scholars. It outlines the motivation for studying whether certain Twitter practices constitute genres. It then discusses challenges in sampling the large Twitter population and proposes using hashtags and follower networks as a starting point. The document presents network analysis concepts and provides an example analysis of tweets from the 2012 CCCCs conference. It stresses the need for qualitative research to understand how users experience online communities and outlines next steps such as studying smaller hashtag datasets and collaborating with other researchers.
Metrics is a hot topic within all fundraising fields. Measurement models have been established for monitoring the work of frontline fundraisers in order to assess the variety of activities performed as well as the schedule, pace, and outcomes of those activities. With this information in hand, choices can be made about which fundraising activities are most effective in achieving the desired donor behavior, most obviously giving.
Glass House Community Led Design (Maja Luna Jorgensen) UK Network of Age-Frie...UK_UAC
The Glass-House provides community-led design services to facilitate collaborative placemaking between local communities and development professionals. This includes advising, training, and providing hands-on support for participatory design projects. They work to empower local residents and improve places through an inclusive process where residents' local expertise is incorporated into design. The document outlines case studies of projects in Granville, London and Kirdford, UK where the Glass-House helped residents provide input that improved design quality and increased local investment in outcomes.
Best Practices for Implementing a District Communication StrategyClubRunner
ClubRunner shares best practices for implementing a District Communication Strategy. This presentation covers:
- How to set your strategy
- The key elements of a good database
- How CASL applies to district communications
- Communication approaches to take
- Website best practices
Evergreen wanted to know how they could better manage corporate sponsor/donor (partner) relationships, and increase partner engagement. Using in-depth research, V.I.P Evergreen, a 5 stage, 21 program campaign was created.
Created by Stephanie Heintzman
how to put participatory urban planning into practiceBakhosMelhem1
This document provides an overview of 5 citizen engagement tools that can be used for participatory urban planning:
1. Exploratory Walk - A field observation method using small groups to identify positive and negative aspects of a neighborhood.
2. Complete Streets Game - A board game used to build consensus on street redesign options through magnetic pieces representing roadway segments.
3. Tactical Urbanism - The use of temporary and low-cost demonstrations and interventions to evaluate creative scenarios from other tools.
4. People Count - A field observation tool for counting people in an area to understand usage and evaluate impacts of interventions.
5. Twelve Quality Criteria - An individual field observation method for scoring public
Growing numbers of social change agents are building networks to increase impact. Using real-life case examples, this webinar offers an introduction to basic network concepts and approaches with an emphasis on how practitioners can strengthen their network through systematic monitoring and evaluation. Highlights from a recent framing paper and casebook developed by Network Impact and the Center for Evaluation Innovation include examples of leading evaluation frameworks and practical methods/tools.
Big Data Ecosystem at LinkedIn. Keynote talk at Big Data Innovators Gathering...Mitul Tiwari
LinkedIn has a large professional network with 360M members. They build data-driven products using members' rich profile data. To do this, they ingest online data into offline systems using Apache Kafka. The data is then processed using Hadoop, Spark, Samza and Cubert to compute features and train models. Results are moved back online using Voldemort and Kafka. For example, People You May Know recommendations are generated by triangle closing in Hadoop and Cubert to count common connections faster. Site speed is monitored in real-time using Samza to join logs from different services.
Modeling Impression discounting in large-scale recommender systemsMitul Tiwari
Recommender systems have become very important for many online activities, such as watching movies, shopping for products, and connecting with friends on social networks. User behavioral analysis and user feedback (both explicit and implicit) modeling are crucial for the improvement of any online recommender system. Widely adopted recommender systems at LinkedIn such as “People You May Know” and “Suggested Skills Endorsement” are evolving by analyzing user behaviors on impressed recommendation items.
In this paper, we address modeling impression discounting of
recommended items, that is, how to model users’ no-action feedback on impressed recommended items. The main contributions of this paper include (1) large-scale analysis of impression data from LinkedIn and KDD Cup; (2) novel anti-noise regression techniques, and its application to learn four different impression discounting functions including linear decay, inverse decay, exponential decay, and quadratic decay; (3) applying these impression discounting functions to LinkedIn’s “People You May Know” and “Suggested Skills Endorsements” recommender systems.
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Concepts that can help gnomes that code improve their capability to synthesize and exercise attractive development options include:
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This document provides an overview of Module 13 on Project Stakeholder Management. The module contains 4 lessons that cover key concepts, planning stakeholder engagement, managing engagement, and monitoring engagement. Each lesson defines the process, describes inputs and outputs, and lists tools that can be used. The overall goal is to identify stakeholders, understand their needs, develop engagement strategies, communicate with stakeholders, and ensure strategies remain effective as the project evolves.
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Metaphor: A system for related searches recommendationsMitul Tiwari
Search plays an important role in online social networks as it provides an essential mechanism for discovering members and content on the network. Related search recommendation is one of several mechanisms used for improving members’ search experience in finding relevant results to their queries. This paper describes the design, implementation, and deployment of Metaphor, the related search recommendation system on LinkedIn, a professional social networking site with over 175 million members worldwide. Metaphor builds on a number of signals and filters that capture several dimensions of relatedness across member search activity.
The system, which has been in live operation for over a year, has gone through multiple iterations and evaluation cycles. This paper makes three contributions. First, we provide a discussion of a large-scale related search recommendation system. Second, we describe a mechanism for effectively combining several signals in building a unified dataset for related search recommendations. Third, we introduce a query length model for capturing bias in recommendation
click behavior. We also discuss some of the practical concerns in deploying related search recommendations.
Search plays an important role in online social networks as it provides an essential mechanism for discovering members and content on the network. Related search recommendation is one of several mechanisms used for improving members’ search experience in finding relevant results to their queries. This paper describes the design, implementation, and deployment of Metaphor, the related search recommendation system on LinkedIn, a professional social networking site with over 175 million members worldwide. Metaphor builds on a number of signals and filters that capture several dimensions of relatedness across member search activity.
The system, which has been in live operation for over a year, has gone through multiple iterations and evaluation cycles. This paper makes three contributions. First, we provide a discussion of a large-scale related search recommendation system. Second, we describe a mechanism for effectively combining several signals in building a unified dataset for related search recommendations. Third, we introduce a query length model for capturing bias in recommendation
click behavior. We also discuss some of the practical concerns in deploying related search recommendations.
Large-scale Social Recommendation Systems: Challenges and OpportunityMitul Tiwari
Keynote talk at 4th International Workshop on Social Recommender Systems (SRS 2013)
In conjunction with 22nd International World Wide Web Conference (WWW 2013). More details: http://cslinux0.comp.hkbu.edu.hk/~fwang/srs2013/
Building Data Driven Products at LinkedinMitul Tiwari
This document discusses building data products at LinkedIn using Hadoop. It describes how LinkedIn builds recommendations products like "People You May Know" by processing member connection data with Hadoop tools. The workflow involves using Kafka to transfer data to HDFS, Pig and MapReduce to process the data, Azkaban to manage Hadoop jobs, and Voldemort to store results and serve recommendations to members. Triangle closing algorithms in Pig are used to find common connections between members and predict potential new connections. The results are pushed to production systems to power features like "People You May Know" recommendations.
This document discusses social network analysis at LinkedIn. It provides an overview of LinkedIn's analytics products, including People You May Know, Profile Stats, and InMaps. It then describes in more detail how LinkedIn builds features like Connection Strength and Related Searches using tools like Hadoop MapReduce, Kafka, Azkaban, and Voldemort. The document outlines LinkedIn's data processing cycle and workflow management for serving analytics data to users.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
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Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
Discover the benefits of outsourcing SEO to Indiadavidjhones387
"Discover the benefits of outsourcing SEO to India! From cost-effective services and expert professionals to round-the-clock work advantages, learn how your business can achieve digital success with Indian SEO solutions.
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdfFlorence Consulting
Quattordicesimo Meetup di Milano, tenutosi a Milano il 23 Maggio 2024 dalle ore 17:00 alle ore 18:30 in presenza e da remoto.
Abbiamo parlato di come Axpo Italia S.p.A. ha ridotto il technical debt migrando le proprie APIs da Mule 3.9 a Mule 4.4 passando anche da on-premises a CloudHub 1.0.
Gen Z and the marketplaces - let's translate their needsLaura Szabó
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
4. 4
Introduction
• Social Networks : important for
• Sharing and Discovery
• Communication
• Networking
• Online Social Networks are partially observed
• Link Prediction and Recommending entities are important
9. 9
Structural Diversity in PYMK Recommendations
• Members in recommendation set mapped to a graph G
• Vertices represent members in the recommendation set
• Edges are the connections between those members on LinkedIn social
graph
• 3 measures of structural diversity
• Number of connected components
• Number of triangles
• Average local node degree
10. 10
Structural Diversity in Recommendations
• A connected component
• any pair of vertices are connected by a path or an isolated vertex
• Number of connected components
• a measure of structural diversity [Ugander et al. 2012]
• Smaller number of components => less structural diversity
• Effect on Invitation rate or conversion rate
• ratio of the number of invitations sent and size of recommended set
11. 11
Structural Diversity in Recommendations
• Invitation rate increases as the number of components decreases
12. 12
Structural Diversity in Recommendations
• Members in recommendation set mapped to a graph G
• A triangle in graph G
• Set of three vertices in Graph G s.t. each vertex is connected to other two
• More number of triangles => dense graph
• More number of triangles => less structural diversity
• Effect on Invitation rate or conversion rate
13. 13
Structural Diversity in Recommendations
• Invitation rate increases as the number of triangles increases
14. 14
Structural Diversity in Recommendations
• Members in recommendation set mapped to a graph G
• Local node degree
• Number of edges incident on the node
• Avg local node degree
• Average of the local node degree over all nodes
• Higher avg local node degree => denser graph
• Higher avg local node degree => less structural diversity
• Effect on Invitation rate or conversion rate
16. 16
Structural Diversity in Recommendations
• Less diverse the result set, the higher the invitation rates
• Explanation: A member knows one person in a
recommendation set of connected members then knows other
members in the set
18. 18
Structural Diversity and User Engagement
• A member is engaged if visits the site multiple times a week
• How does engagement depend on the structure of a
member’s immediate connection network?
• Connections of a member is mapped to a graph
• Vertices represent members in the connections set
• Edges are the connections between those members on LinkedIn social
graph
19. 19
Structural Diversity and User Engagement
• K-core decomposition of a graph
• Repeatedly remove nodes with less than K neighbors
• Eliminate influence from unimportant nodes
• K-components
• Connected components in K-core decomposition of the graph
22. 22
Concluding remarks
• Lower structural diversity among recommendation set results
in a higher invitation rate
• Different form Facebook data study [Ugander et al. 2012]
• Use case is slightly different
• Effect of structural diversity on recommender system highly depends on
the use
• Don’t generalize structural diversity effects on one recommender system
to all
• Higher structural diversity among member’s connection
network results in higher engagement
• Similar to Facebook data study
Hi, I am Mitul Tiwari. Today I am going to present our paper on “Structural Diversity in Social Recommender Systems”
This is joint work with Lisa Huang and Sam Shah
I work in Search, Network, and Analytics group at LinkedIn, and focus on social recommender systems and graph mining problems such as link prediction, etc.
Here is the outline of my talk. First, I will describe the motivation and the goal behind our work.
Next I am going to talk about effects of structural diversity in people recommendation systems such as “People You May Know” at LinkedIn
Then I will talk about how structural diversity affects user engagement
And finally I will conclude with some remarks drawn from this work
Social networks have become important for sharing and discovery of content, communication with others, and networking.
Any online social network is partially observed as two people might know each other but may not be connected with each other
Link prediction and recommending other members to connect with is important to grow your network and social reach
LinkedIn is the largest professional network with more than 238 million members.
Members can connect with each other and maintain their professional network on linkedin.
LinkedIn exposes it’s link prediction and people recommendation system through a feature called People You May Know or PYMK in short
In PYMK we analyze billions of edges to recommend possible connections to you.
PYMK is a large scale recommendation system that helps you connect with others.
In this work we aim to study how structural diversity of connections between recommended set of members in PYMK affects overall invitation or conversion rate
Also, we aim to study the structural diversity of connections network affects user engagement on the site
Next I am going to talk more about how structural diversity of connections between recommended members in PYMK affects the overall invitation or connection rate
To study structural diversity of connections among the recommended set of members in PYMK, we first map the recommended set of members to a graph G
where vertices represents members in the recommendation set, and edges are the connections between those members on LinkedIn social graph
We define 3 measures of structural diversity in terms of the number of connected components, the number of triangles, and Average local node degree.
I will go into each of these three notions of structural diversity next
Todo: a simple graph
A connected component is defined as a maximal subgraph of the original graph such that any pair of vertices are connected by a path or the subgraph is just an isolated vertex
The number of connected components can be used a measure of structural diversity
where smaller number of components mean less structural diversity
This measure was also used by Ugander et al. in their study where they compared the effect of structural diversity in user recruitment
We aim to measure effect on invitation rate or conversion rate, which is defined as the ratio of the number of invitations to connect sent and the size of recommended set in People You May Know (PYMK)
This figure plots invitation rate vs the number of components for different sizes of recommendation set
Data set: PYMK recommendation sets of different sizes: 2, 3, 4, 5 and 6 in this graph
For each of this figure, we see that invitation rate increases with decrease in the number of components in the graph
That is, invitation rate increases as the recommendation set becomes less structurally diverse
Next we measure structural diversity in terms of the number of triangles in the graph G, which is obtained by mapping the recommended set of members to a graph G
A set of three vertices in a graph form a triangle if any of the vertex is connected with the other two
More number of triangles in a graph means denser graph and the graph is less structurally diverse
We aim to measure the effect on invitation rate as the number of triangles changes in the graph G
This figure plots invitation rate with respect to the number of triangles in the graph obtained from the recommendation set
A we see the invitation rate increases as the number of triangles increase
That is, invitation rate increases as the graph becomes less structurally diverse
Next we measure structural diversity in terms of average local node degree in Graph G, which is obtained by mapping members in recommendation set to a Graph as before
Local node degress is defined as the number of edges incident on the node
Avg local node degree is the average of the local node degree over all nodes in Graph G
Higher avg local node degree implies denser graph, that means, less structural diversity
We use the same PYMK data set and measure invitation rate wrt to average local node degree
and we observe that invitation rate increases as avg local node degree increases
that is, invitation rate increase as the graph becomes less structurally diverse
In summary, less structurally diverse the recommendation set is the higher the invitation rate
Possible explanation: if a member knows one person in a recommendation set, and if the recommendation set of members are strongly connected with each other then, the member knows other members in the set
Next I am going to talk about structural diversity and its effect on user engagement
We say a member is engaged if the member visits the site multiple times a week
We would like to measure how engagement varies with structural diversity of member’s immediate connection network
First, we map connections of a member to a graph, where
vertices represent members in the connections set
Edges are the connection between those member on the social graph
We define K-core decomposition of graph as repeatedly removing nodes with less than K neighbors
This eliminates influence from unimportant nodes
K-components: connected components in K-core decomposition of the graph