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Questions tagged [social-network-analysis]

Social network data consists of a collection of "nodes" (which can be any sort of entity - e.g. people, corporations) and "links" (which can be any sort of relationship - e.g. friend, sharing a board member).

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Protein interaction prediction- how to input this data structure

I know the basics of machine learning and have quite an experience with time series data or data fed in a tabular format. But in the picture, the data is arranged as a graph. Is there a way to input ...
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9 views

How to user Twitter UUID

I am trying to analyze FakeNewsNet which is a dataset for Social Network Analysis. There are UUID(?)s of users in the dataset but I am sure how to retrieve ...
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Drug with as many targets as possible through a system biology graph?

I have 4 pandas data frames containing the following data: 1 - affinity_score1: affinity between each couple (Drug-Target) measured using tool1 2 - affinity_score2: affinity between each couple (Drug-...
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Does anyone have examples of using graph theory/network science in the field of Business Intelligence? [closed]

A lot of examples for the use of graph theory revolve around either social networks (which I understand are useful for business intelligence) or scientific/biological application. I am exploring the ...
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45 views

How to do hidden variable learning in Bayesian Network with Python?

I learned how to use libpgm in general for Bayesian inference and learning, but I do not understand if I can use it for learning with hidden variable. More precisely, I am trying to implement approach ...
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1answer
50 views

Twitter Retweet Network Visualization

I am trying to visualize retweet network in order to find out which users are most likely to have most influence on other users. Here is my code: ...
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12 views

How to get count “Number of people” gathered for a public event through social networking sites

I am currently working on a sales forecast prediction modeling. As part of it I need to find out an approximate count of people gathered for a public gathering based on "Date" and "Zipcode" or "Lat,...
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20 views

Named entity co occurrences in sentences

I am researching about entity relations mined from articles. I am going to use the relations to form a social network that describes the relations between politicians in the news (strong relationships,...
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Are they any technical SNA tutorials that focus on real-world business problems?

Most of the technical (e.g. NetworkX, iGraph, Gephi) SNA tutorials I see focus on "toy" examples. They show how to run various algorithms, but it's not clear what real problems these would solve---...
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Link Prediction based Similarity Indices

So, I was reading some Link Prediction based algorithms and similarity indices. I came across two random walk based indices - Local Random Walk(LRW) and Superposed Random Walk(SRW). I read the ...
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89 views

Representing a community as a vector

My setup is this: Suppose I have transactional data over a large period of time. The parties of each transaction are labled, and I use Louvain algorithm for detecting communities (and sub-communities)...
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Seminal papers about analysis and application based on publicly released data [closed]

The US government releases a lot of varied data here. Data science and data analytics have greatly matured over the last decade varying from Cambridge Analytica on one extreme to Google/Amazon Ads ...
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Is network a discrete dynamical system?

Consider any network, say network of flights between many cities or Internet or brain or social network. Is it correct to say that it can be considered as discrete dynamical system provided we have an ...
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Is there a way to combine both ties (nondirected edges) and wins/losses (directed edges) in a single social network?

I'm currently building social networks for small colonies of animals which I've observed, with the aim of comparing changes in social network structure in response to changes in certain environmental ...
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18 views

Voting patterns similarities

I'm interested in any research materials on voting patterns. I have a data set of how PMs (members of parliament) voted in my country during last couple of years. Each PM has 3 buttons: Yes, No, ...
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10 views

Can we access social media advertisements and information like how many likes, comments, shares they received using their APIs?

I want to access social media advertisements and information about how popular they were ( how many likes, comments and shares they received and the comments). Can I get these information using these ...
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33 views

How to find outlier nodes in a network

I would like to find the main communities of my network using community detection algorithms. Moreover, I would also like to identify and remove the outlier documents (nodes) of the communities in the ...
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1answer
42 views

Extract details from bibliometrics data

I have set of bibliometrics data (references). I want to extract the author names, title and the name of the conference/journal from it. Since the referencing style used by different papers vary, I am ...
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35 views

What are the tools that can be used to draw co-citation networks?

I am interested in drawing co-citation networks using the data exported from Web of Science. I would like to receive recommendations on a tool that can be used to draw co-citation networks based on ...
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33 views

Evolving Social Network Change Points

I am working with a number of social networks. For example the Enron email social network or networks with entity co-appearance in news. I am looking for methods that can detect significant changes ...
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38 views

Echo-Effect-Metric Network

I have been working on data science project where I am trying to build a metric for how inbred a source is in a network. We hope to apply this to intelligence reporting, in which documents tend to ...
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3answers
381 views

Building a Citation Network to Analyze in R

I am working on network analysis project at one of our Nation's Service Academies, and I need a little help. As a starting point, we are looking at a citation network that we build by using the ...
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1answer
114 views

Identify social users using graph embeddings

I have a social network and I want to identify the most social people in the graph. In a typical graph experiments this could have done using different network features. However, I recently came ...
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1answer
30 views

On Creating an Interoperable Network Matrix

Complete self taught novice here. Question Are there any popular standards, or commonly used formats for representing/saving/sharing/serializing a network? Background I built a simple but very ...
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2answers
203 views

Why an eigenvector might be reasonable notion of centrality

Using adjacency matrix to represent a connection between node i and node j, 1 means connected and 0 means not connected. Using eigenvector to represent the centrality means the more nodes with high ...
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2answers
177 views

Visualizing community composition using network of pie charts

Given a social network, I want to perform community detection and compare the result to known node metadata, such as gender, age, etc. to see if certain communities are largely composed of "similar" ...
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1answer
293 views

Can we apply community detection algorithms for word vector space?

As I understand we can apply community detection algorithms such as Louvain to detect communities in a social network (i.e. involves people). But I am quite interested in knowing if we can use the ...
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2answers
785 views

how can i collect data set from social networks like instagram?

My name is Reza, a Master Student at Golestan University of Technical and engineering, Iran and my M.Sc. thesis is about detect fake account on social networks. so i need data set. how can i collect ...
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1answer
47 views

How do I calculate for each person in the network how many people agree with their opinion?

I have a signed bipartite graph in which the nodes are (1) students and (2) topics. An edge is drawn between a student and topic node if the student mentions their opinion about the topic in a short ...
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1answer
103 views

In what data science applications has the stack exchange dump been used?

Anonymized dumps of the stack exchange data are available here. Do you know projects or article that have been using these data (for social network analysis or information retrieval) ? My little ...
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2answers
177 views

In a directed graph, how to measure whether a node is more “upstream” or “downstream”?

Let's say that I have a directed graph, and for each node I want to have some measure of whether it is more of an "upstream" node (that lies at the beginning of many paths), or a "downstream" node (to ...
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1answer
49 views

Can I use sentiment analysis techniques and text processing for detection social bot in online social networks? [closed]

I want to study in field of " Detecting fake account on online social network by content/sentiment analysis " for Master's Thesis.is this possible?
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1answer
119 views

Clustering Multiple Networks

I'm looking for methods of Community Detection in networks. For example if I have a network of 100 people (each node is a person), how can I cluster nodes? What would be the best approach for grouping ...
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2answers
51 views

Why do we do citation analysis?

Pardon my question if it seems too general... I'm new to networks in general, but recently I came across a type of network called citations network. However, I couldn't figure out why we do citation ...
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1answer
85 views

Weighted degree in Multidimensional networks

Does there exist a definition for weighted degrees of multidimensional networks? I understand that the basic definition would be: Let $v\in V$ be a node of a network $G=(N,V,L)$. The function ...
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Measuring connectivity between clusters in an organizational network in R

I'm trying to conceptualize a network analysis problem and figure out where to start in terms of analysis techniques in R. Apologies as I'm fairly new to all this. Basically, I have a employee ...
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0answers
28 views

How to detect multiple handles used by the same individual?

Suppose a person (John Doe) uses different user names (handles) in different circumstances (for simplicity, let us limit the conversation to a single social network, e.g., ...
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1answer
151 views

How to get Real life Social Network Data?

I am trying to build a case study for Insurance fraud detection using SNA. I have already looked around and build my model using Stanford's SNAP and other similar databases available on the internet ...
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2answers
64 views

Data Science Groups on Linked In

I am interested in joining some Data Science Groups on Linked In. The relevant list is long. I don't think it is to my advantage to join all, but I am not sure how to evaluate the individual group's ...
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1answer
150 views

Network Visualization - R code - Which Package is needed?

I'm trying to create a network visualization to study the flights to and from a certain airport. My data consists of 123000 rows in this format: ...
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1answer
41 views

software for workflow integrating network analysis, predictive analytics, and performance metrics [closed]

I am hoping that there is some existing software for what I want to accomplish, as I'm not a big fan of reinventing the wheel. In general, I would like a software package that can serve as a workflow ...
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29 views

Ways of determining the state of business during crawling

First I want to state that I am not sure for what SE this question is suited, maybe Open Data SE would be better, if it is - feel free to migrate question. Also I have a hint that this question can ...
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1answer
2k views

NameError: name 'MyStreamListener' is not defined

I'd import 'tweepy' package for accessing twitter data for analysis and visualization in Python. Afterwards I did setup oauth authentication and everything else but on the next step, which is ...
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1answer
246 views

Network Analysis using R

I've the following dataset: **Strenght Movie1 Movie2** 23 2 3 80 1 2 10 4 3 And I want to ...
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3answers
156 views

Need to prepare the data to Link Analysis project?

I've a dataset with following schema: ...
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0answers
367 views

graph database and its clustering

An undirected graph represents a database where nodes of the graph represent tables, edges represent the joiner columns. There are 100 databases( it means, 100 undirected graphs). We have to build ...
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3answers
1k views

How cluster a twitter data-set?

I have a twitter data-set and I wanna extract their related topics. So, I decided to classify my Tweets into clusters using an unsupervised machine learning algorithm like k-means. This choice is made ...
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3answers
128 views

How can I discover topics in a social media data-set?

I'm working on a project and i need to discover topics existing in a social media data set. For instance, i wanna extract the topics existing on 200K tweets. Any one recommend to me any machine ...
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0answers
30 views

How do I interpret the results of weighted clique percolation if communities are subsuming (not overlapping)?

I am conducting a network text analysis as part of a systematic literature review of social network analysis in computer-supported learning. My nodes are terms in the included studies, and the ties ...
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1answer
59 views

Predicting future from posts in social networks

Is there any research indicatng that it is possible to predict future (some events or objective economic parameters like currencies exchange rates) from posts on social networks (comments, twits, ...