# MeV NetworkX: Network Analysis and Visualization for Tracing Disinformation
## 3 MeVer NetworkX Tool
### Input Files  
Twitter and Telegram analyses involve GEXF files. This well-known format started in 2007 within the Gephi project to describe complex network structures and their associated data and dynamics. To build Facebook graphs, a user needs access to CrowdTangle and then he/she can export the data in CSV files. **Twitter. ** The input GEXF file of a Twitter graph contains the nodes and edges of the graph along with their attributes. The required field for a node is an ID, and the edges need the source of the edge (i.e., the ID of the node from which the edge starts and the \"target\" of the edge (i.e., the node's id to which the edge points)). Additional attributes are used to build plots, statistics, filters, and other functionalities. The graph contains three types of nodes visualized with different shapes: users visualized as circles, URLs visualized as stars, and hashtags visualized as rhombuses. The tool supports four edge types: retweets, quotes, mentions, and replies. Table 1 presents a list of required and optional fields. Account-related attributes (e.g., screen names and numbers of accounts following) are associated with nodes, while tweet-related attributes (e.g., retweets, texts, and hashtags) are associated with edges and characterize the interactions between nodes. Figure 1: Overview of the MeVer NetworkX tool. **Facebook. ** CrowdTangle tracks only publicly available posts and extracts data in CSV files. The CSV files contain one public Facebook post per line with metadata about the page/group that posted it and the post itself. We considered two types of node: groups and resources (URLs, photos, or videos); the interactions among them are defined as the edges of a graph. The nodes are visualized with different shapes, namely a circle for a Facebook group/page, a star for an article, a rhombus for a photo, and a square for a video. An edge is created from a group/page node made into a resource node when the group/page shares a post containing the resource node's link. When multiple groups share resources, multiple edges are created for the resource node. Metadata that refers to Facebook pages/groups are used as node attributes, while information related to Facebook posts that contain resources (URLs, photos, or videos) is associated with edges since a resource might be associated with multiple pages/groups. Table 2 summarizes and explains the attributes used for building Facebook graphs. **Telegram. ** The Telegram graph has three node types visualized, each with a different shape: (i) users (circles), (ii) URLs (stars), and (iii) hashtags (rhombuses). Edges represent occurrences of hashtags and URLs within the text field of a message sent by a user through a channel. Based on how the Telegram ecosystem is conceived and constructed, it's not possible to determine the actual Telegram account that used the channel as a mean to communicate with its subscribers. However, channel administrators can use the author's signature feature in order to include the first and last name in the signature of each message they send. Such an indicator cannot lead anyone to a unique identification of the Telegram account that has been used to send certain messages containing a specific signature. Due to